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STATISTICS.COM LMSGLOSSARYENGLISH Statistics.com LMS. The Institute for Statistics Education at Statistics.com. is the leading provider of online education in statistics. We offer 100+ courses in introductory and advanced statistical subjects. Students from around the world study with leading authorities via private discussion boards. BIOSTATISTICS CERTIFICATE PROGRAM This online certificate program in biostatistics and epidemiology provides the skills needed to gather, analyze, and assess data for activities like clinical trials, medical research, and public health studies. This ten course program – including seven required courses and three electives – covers the critical, statistical concepts usedin
ALPHABETICAL STATISTICAL SYMBOLS 100+ online courses in statistics Alphabetical Statistical Symbols: Symbol Text Equivalent Meaning Formula Link to Glossary (ifappropriate)
REPLICATION
Replication: In statistics, replication is repetition of an experiment or observation in the same or similar conditions. Replication is important because it adds information about the reliability of the conclusions or estimates to be drawn from the data. The statistical methods that assess that reliability rely on replication. For example, if you select a personDATA PARTITION
Data Partition: Data partitioning in data mining is the division of the whole data available into two or three non-overlapping sets: the training set, the validation set, and the test set.If the data set is very large, often only a portion of it is selected for the partitions. PREDICTIVE ANALYTICS FOR HEALTHCARE In this course you will learn how to: Organize the predictive modeling task and data flow. Develop machine learning models with linear and logistic regression, and with decision tree and ensemble algorithms using R. Assess the performance of these models with holdout data. Apply predictive models to generate predictions for new data.SAMPLING FRAME
Sampling frame (synonyms: "sample frame", "survey frame") is the actual set of units from which a sample has been drawn: in the case of a simple random sample, all units from the sampling frame have an equal chance to be drawn and to occur in the sample. In the ideal case, the sampling frame should coincide with the population ofinterest.
HISTORICAL SPOTLIGHT: IRIS DATASET This is the Blue Flag Iris, also called the Veriscolor Iris, and it is one of three Iris species that make up the famous (in statistics) Iris dataset. This dataset consisted of five values for each of several hundred flowers: Iris species, length and the width of the sepal s ETHICAL PRACTICE IN DATA MINING Ethical Practice in Data Mining. Prior to the advent of internet-connected devices, the largest source of big data was public interaction on the internet. Social media users, as well as shoppers and searchers on the internet, make an implicit deal with the big companies that provide these services: users can take advantage ofpowerful search
STATISTICS.COM: DATA SCIENCE, ANALYTICS & STATISTICS COURSESCURRICULUMCOURSESMASTERY SERIESCERTIFICATESDEGREESENTERPRISE Online Certificate Programs from Statistics.com. Immerse yourself in a particular discipline from analytics for Data Science to Social Science Statistics. Our online certificate program consists of ten, 4-week online courses at Statistics.com. There are ten courses, which includes electives. The workload for the entire program is theequivalent
STATISTICS.COM LMSGLOSSARYENGLISH Statistics.com LMS. The Institute for Statistics Education at Statistics.com. is the leading provider of online education in statistics. We offer 100+ courses in introductory and advanced statistical subjects. Students from around the world study with leading authorities via private discussion boards. BIOSTATISTICS CERTIFICATE PROGRAM This online certificate program in biostatistics and epidemiology provides the skills needed to gather, analyze, and assess data for activities like clinical trials, medical research, and public health studies. This ten course program – including seven required courses and three electives – covers the critical, statistical concepts usedin
ALPHABETICAL STATISTICAL SYMBOLS 100+ online courses in statistics Alphabetical Statistical Symbols: Symbol Text Equivalent Meaning Formula Link to Glossary (ifappropriate)
REPLICATION
Replication: In statistics, replication is repetition of an experiment or observation in the same or similar conditions. Replication is important because it adds information about the reliability of the conclusions or estimates to be drawn from the data. The statistical methods that assess that reliability rely on replication. For example, if you select a personDATA PARTITION
Data Partition: Data partitioning in data mining is the division of the whole data available into two or three non-overlapping sets: the training set, the validation set, and the test set.If the data set is very large, often only a portion of it is selected for the partitions. PREDICTIVE ANALYTICS FOR HEALTHCARE In this course you will learn how to: Organize the predictive modeling task and data flow. Develop machine learning models with linear and logistic regression, and with decision tree and ensemble algorithms using R. Assess the performance of these models with holdout data. Apply predictive models to generate predictions for new data.SAMPLING FRAME
Sampling frame (synonyms: "sample frame", "survey frame") is the actual set of units from which a sample has been drawn: in the case of a simple random sample, all units from the sampling frame have an equal chance to be drawn and to occur in the sample. In the ideal case, the sampling frame should coincide with the population ofinterest.
HISTORICAL SPOTLIGHT: IRIS DATASET This is the Blue Flag Iris, also called the Veriscolor Iris, and it is one of three Iris species that make up the famous (in statistics) Iris dataset. This dataset consisted of five values for each of several hundred flowers: Iris species, length and the width of the sepal s ETHICAL PRACTICE IN DATA MINING Ethical Practice in Data Mining. Prior to the advent of internet-connected devices, the largest source of big data was public interaction on the internet. Social media users, as well as shoppers and searchers on the internet, make an implicit deal with the big companies that provide these services: users can take advantage ofpowerful search
STATISTICS.COM: DATA SCIENCE, ANALYTICS & STATISTICS COURSES Online Certificate Programs from Statistics.com. Immerse yourself in a particular discipline from analytics for Data Science to Social Science Statistics. Our online certificate program consists of ten, 4-week online courses at Statistics.com. There are ten courses, which includes electives. The workload for the entire program is theequivalent
INTRODUCTORY STATISTICS COURCES Statistics 2 – Inference and Association. This course will teach you the use of inference and association through a series of practical applications, based on the resampling/simulation approach, and how to test hypotheses, compute confidence intervals regarding proportions or means, computer correlations, and use of simple linear regressions.MANAGEMENT TEAM
Peter Bruce founded The Institute for Statistics Education at Statistics.com in 2002. Prior to founding Statistics.com, Peter was the developer of Resampling Stats software and helped bring to market the data mining program “XLMIner”, later acquired by FrontlineSystems.
TERMINOLOGY IN DATA ANALYTICS Terminology in Data Analytics. As data continue to grow at a faster rate than either population or economic activity, so do organizations’ efforts to deal with the data deluge, and use it to capture value. And so do the methods used to analyze data, which creates an expanding set of terms (including some buzzwords) used to describe these methods. TRUTH IN LENDING (TESU) Statistics.com offers academic and professional education in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction. Statistics.com is a part of Elder Research, a data science consultancy with 25 years of experience indata analytics.
BAYESIAN STATISTICS MASTERY SERIES Bayesian Statistics Mastery Series. In this Mastery Series (you choose 3 of 5 courses), you’ll learn how to perform Bayesian analysis with BUGS software package by applying Markov Chain Monte Carlo techniques to Bayesian statistical modeling. You’ll also learn to employ RJags and Rstan, programs for Bayesian analysis within R. $1,399SAMPLING FRAME
Sampling frame (synonyms: "sample frame", "survey frame") is the actual set of units from which a sample has been drawn: in the case of a simple random sample, all units from the sampling frame have an equal chance to be drawn and to occur in the sample. In the ideal case, the sampling frame should coincide with the population ofinterest.
DR. TAL GALILI
Mr. Tal Galili, online instructor at statistics.com. Lecturer for statistics courses at Tel Aviv University while working on his PhD in statistics there. Also writes the blog R-Statistics, which is a collection basket for his ongoing exploration of R, Statistics, data, WordPress, blogging and open-source. RELATIVE RISK RATIO AND ODDS RATIO The Relative Risk Ratio and Odds Ratio are both used to measure the medical effect of a treatment to which people are exposed. Why do two metrics exist, particularly when “risk” is a much easier conceptto grasp?
DR. DAVID G. KLEINBAUM Dr. David G. Kleinbaum. Dr. David G. Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University. He is internationally known for his textbooks in statistical and epidemiologic methods, and as an outstanding teacher. He has also taught over 175 short courses over the past 30 years throughout the world. STATISTICS.COM: DATA SCIENCE, ANALYTICS & STATISTICS COURSESCURRICULUMCOURSESMASTERY SERIESCERTIFICATESDEGREESENTERPRISE Online Certificate Programs from Statistics.com. Immerse yourself in a particular discipline from analytics for Data Science to Social Science Statistics. Our online certificate program consists of ten, 4-week online courses at Statistics.com. There are ten courses, which includes electives. The workload for the entire program is theequivalent
STATISTICS.COM LMSGLOSSARYENGLISH Statistics.com LMS. The Institute for Statistics Education at Statistics.com. is the leading provider of online education in statistics. We offer 100+ courses in introductory and advanced statistical subjects. Students from around the world study with leading authorities via private discussion boards. BIOSTATISTICS CERTIFICATE PROGRAM This online certificate program in biostatistics and epidemiology provides the skills needed to gather, analyze, and assess data for activities like clinical trials, medical research, and public health studies. This ten course program – including seven required courses and three electives – covers the critical, statistical concepts usedin
ALPHABETICAL STATISTICAL SYMBOLS 100+ online courses in statistics Alphabetical Statistical Symbols: Symbol Text Equivalent Meaning Formula Link to Glossary (ifappropriate)
REPLICATION
Replication: In statistics, replication is repetition of an experiment or observation in the same or similar conditions. Replication is important because it adds information about the reliability of the conclusions or estimates to be drawn from the data. The statistical methods that assess that reliability rely on replication. For example, if you select a personDATA PARTITION
Data Partition: Data partitioning in data mining is the division of the whole data available into two or three non-overlapping sets: the training set, the validation set, and the test set.If the data set is very large, often only a portion of it is selected for the partitions. PREDICTIVE ANALYTICS FOR HEALTHCARE In this course you will learn how to: Organize the predictive modeling task and data flow. Develop machine learning models with linear and logistic regression, and with decision tree and ensemble algorithms using R. Assess the performance of these models with holdout data. Apply predictive models to generate predictions for new data.SAMPLING FRAME
Sampling frame (synonyms: "sample frame", "survey frame") is the actual set of units from which a sample has been drawn: in the case of a simple random sample, all units from the sampling frame have an equal chance to be drawn and to occur in the sample. In the ideal case, the sampling frame should coincide with the population ofinterest.
HISTORICAL SPOTLIGHT: IRIS DATASET This is the Blue Flag Iris, also called the Veriscolor Iris, and it is one of three Iris species that make up the famous (in statistics) Iris dataset. This dataset consisted of five values for each of several hundred flowers: Iris species, length and the width of the sepal s ETHICAL PRACTICE IN DATA MINING Ethical Practice in Data Mining. Prior to the advent of internet-connected devices, the largest source of big data was public interaction on the internet. Social media users, as well as shoppers and searchers on the internet, make an implicit deal with the big companies that provide these services: users can take advantage ofpowerful search
STATISTICS.COM: DATA SCIENCE, ANALYTICS & STATISTICS COURSESCURRICULUMCOURSESMASTERY SERIESCERTIFICATESDEGREESENTERPRISE Online Certificate Programs from Statistics.com. Immerse yourself in a particular discipline from analytics for Data Science to Social Science Statistics. Our online certificate program consists of ten, 4-week online courses at Statistics.com. There are ten courses, which includes electives. The workload for the entire program is theequivalent
STATISTICS.COM LMSGLOSSARYENGLISH Statistics.com LMS. The Institute for Statistics Education at Statistics.com. is the leading provider of online education in statistics. We offer 100+ courses in introductory and advanced statistical subjects. Students from around the world study with leading authorities via private discussion boards. BIOSTATISTICS CERTIFICATE PROGRAM This online certificate program in biostatistics and epidemiology provides the skills needed to gather, analyze, and assess data for activities like clinical trials, medical research, and public health studies. This ten course program – including seven required courses and three electives – covers the critical, statistical concepts usedin
ALPHABETICAL STATISTICAL SYMBOLS 100+ online courses in statistics Alphabetical Statistical Symbols: Symbol Text Equivalent Meaning Formula Link to Glossary (ifappropriate)
REPLICATION
Replication: In statistics, replication is repetition of an experiment or observation in the same or similar conditions. Replication is important because it adds information about the reliability of the conclusions or estimates to be drawn from the data. The statistical methods that assess that reliability rely on replication. For example, if you select a personDATA PARTITION
Data Partition: Data partitioning in data mining is the division of the whole data available into two or three non-overlapping sets: the training set, the validation set, and the test set.If the data set is very large, often only a portion of it is selected for the partitions. PREDICTIVE ANALYTICS FOR HEALTHCARE In this course you will learn how to: Organize the predictive modeling task and data flow. Develop machine learning models with linear and logistic regression, and with decision tree and ensemble algorithms using R. Assess the performance of these models with holdout data. Apply predictive models to generate predictions for new data.SAMPLING FRAME
Sampling frame (synonyms: "sample frame", "survey frame") is the actual set of units from which a sample has been drawn: in the case of a simple random sample, all units from the sampling frame have an equal chance to be drawn and to occur in the sample. In the ideal case, the sampling frame should coincide with the population ofinterest.
HISTORICAL SPOTLIGHT: IRIS DATASET This is the Blue Flag Iris, also called the Veriscolor Iris, and it is one of three Iris species that make up the famous (in statistics) Iris dataset. This dataset consisted of five values for each of several hundred flowers: Iris species, length and the width of the sepal s ETHICAL PRACTICE IN DATA MINING Ethical Practice in Data Mining. Prior to the advent of internet-connected devices, the largest source of big data was public interaction on the internet. Social media users, as well as shoppers and searchers on the internet, make an implicit deal with the big companies that provide these services: users can take advantage ofpowerful search
STATISTICS.COM: DATA SCIENCE, ANALYTICS & STATISTICS COURSES Online Certificate Programs from Statistics.com. Immerse yourself in a particular discipline from analytics for Data Science to Social Science Statistics. Our online certificate program consists of ten, 4-week online courses at Statistics.com. There are ten courses, which includes electives. The workload for the entire program is theequivalent
INTRODUCTORY STATISTICS COURCES Statistics 2 – Inference and Association. This course will teach you the use of inference and association through a series of practical applications, based on the resampling/simulation approach, and how to test hypotheses, compute confidence intervals regarding proportions or means, computer correlations, and use of simple linear regressions.MANAGEMENT TEAM
Peter Bruce founded The Institute for Statistics Education at Statistics.com in 2002. Prior to founding Statistics.com, Peter was the developer of Resampling Stats software and helped bring to market the data mining program “XLMIner”, later acquired by FrontlineSystems.
TERMINOLOGY IN DATA ANALYTICS Terminology in Data Analytics. As data continue to grow at a faster rate than either population or economic activity, so do organizations’ efforts to deal with the data deluge, and use it to capture value. And so do the methods used to analyze data, which creates an expanding set of terms (including some buzzwords) used to describe these methods. TRUTH IN LENDING (TESU) Statistics.com offers academic and professional education in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction. Statistics.com is a part of Elder Research, a data science consultancy with 25 years of experience indata analytics.
BAYESIAN STATISTICS MASTERY SERIES Bayesian Statistics Mastery Series. In this Mastery Series (you choose 3 of 5 courses), you’ll learn how to perform Bayesian analysis with BUGS software package by applying Markov Chain Monte Carlo techniques to Bayesian statistical modeling. You’ll also learn to employ RJags and Rstan, programs for Bayesian analysis within R. $1,399SAMPLING FRAME
Sampling frame (synonyms: "sample frame", "survey frame") is the actual set of units from which a sample has been drawn: in the case of a simple random sample, all units from the sampling frame have an equal chance to be drawn and to occur in the sample. In the ideal case, the sampling frame should coincide with the population ofinterest.
DR. TAL GALILI
Mr. Tal Galili, online instructor at statistics.com. Lecturer for statistics courses at Tel Aviv University while working on his PhD in statistics there. Also writes the blog R-Statistics, which is a collection basket for his ongoing exploration of R, Statistics, data, WordPress, blogging and open-source. RELATIVE RISK RATIO AND ODDS RATIO The Relative Risk Ratio and Odds Ratio are both used to measure the medical effect of a treatment to which people are exposed. Why do two metrics exist, particularly when “risk” is a much easier conceptto grasp?
DR. DAVID G. KLEINBAUM Dr. David G. Kleinbaum. Dr. David G. Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University. He is internationally known for his textbooks in statistical and epidemiologic methods, and as an outstanding teacher. He has also taught over 175 short courses over the past 30 years throughout the world.STATISTICS.COM LMS
Statistics.com LMS. The Institute for Statistics Education at Statistics.com. is the leading provider of online education in statistics. We offer 100+ courses in introductory and advanced statistical subjects. Students from around the world study with leading authorities via private discussion boards. ALPHABETICAL STATISTICAL SYMBOLS 100+ online courses in statistics Alphabetical Statistical Symbols: Symbol Text Equivalent Meaning Formula Link to Glossary (ifappropriate)
REPLICATION
Replication: In statistics, replication is repetition of an experiment or observation in the same or similar conditions. Replication is important because it adds information about the reliability of the conclusions or estimates to be drawn from the data. The statistical methods that assess that reliability rely on replication. For example, if you select a person EFFICIENCY - STATISTICS.COM: DATA SCIENCE, ANALYTICS Efficiency: For an unbiased estimator, efficiency indicates how much its precision is lower than the theoretical limit of precision provided by the Cramer-Rao inequality. A measure of efficiency is the ratio of the theoretically minimal variance to the actual variance of the estimator. This measure falls between 0 and 1. An estimator withefficiency 1.0
DATA PARTITION
Data Partition: Data partitioning in data mining is the division of the whole data available into two or three non-overlapping sets: the training set, the validation set, and the test set.If the data set is very large, often only a portion of it is selected for the partitions.DECILE LIFT
Decile lift is this measure applied to deciles of the target records ranked by predicted probability (for a binary outcome) or predicted amount (for a continuous variable). For the top decile lift the steps, for a 0/1 classification problem, are. 1. Split records into training and validation samples. 2.STUDENT CATALOG
1 © Statistics.com, an Elder Research Company 3/5/2021 STUDENT CATALOG MISSION STATEMENT The Institute for Statistics Education at Statistics.com is a leading ETHICAL PRACTICE IN DATA MINING Ethical Practice in Data Mining. Prior to the advent of internet-connected devices, the largest source of big data was public interaction on the internet. Social media users, as well as shoppers and searchers on the internet, make an implicit deal with the big companies that provide these services: users can take advantage ofpowerful search
STATISTICS 1 QUIZ
Statistics 1. Take this short test to see if you can skip Statistics 1. You are buying uniforms for young male military recruits. You know the mean chest size and the standard deviation of the chest size. About what proportion of the chest sizes of the recruits would you expect to be within one standard deviation of the mean chest size? PREDICTION VS. EXPLANATION Prediction vs. Explanation: With the advent of Big Data and data mining, statistical methods like regression and CART have been repurposed to use as tools in predictive modeling. When statistical models are used as a tool of research, the goal is to explain relationships in a dataset, and make inference beyond the specificdata to
STATISTICS.COM LMS
Statistics.com LMS. The Institute for Statistics Education at Statistics.com. is the leading provider of online education in statistics. We offer 100+ courses in introductory and advanced statistical subjects. Students from around the world study with leading authorities via private discussion boards. ALPHABETICAL STATISTICAL SYMBOLS 100+ online courses in statistics Alphabetical Statistical Symbols: Symbol Text Equivalent Meaning Formula Link to Glossary (ifappropriate)
REPLICATION
Replication: In statistics, replication is repetition of an experiment or observation in the same or similar conditions. Replication is important because it adds information about the reliability of the conclusions or estimates to be drawn from the data. The statistical methods that assess that reliability rely on replication. For example, if you select a person EFFICIENCY - STATISTICS.COM: DATA SCIENCE, ANALYTICS Efficiency: For an unbiased estimator, efficiency indicates how much its precision is lower than the theoretical limit of precision provided by the Cramer-Rao inequality. A measure of efficiency is the ratio of the theoretically minimal variance to the actual variance of the estimator. This measure falls between 0 and 1. An estimator withefficiency 1.0
DATA PARTITION
Data Partition: Data partitioning in data mining is the division of the whole data available into two or three non-overlapping sets: the training set, the validation set, and the test set.If the data set is very large, often only a portion of it is selected for the partitions.DECILE LIFT
Decile lift is this measure applied to deciles of the target records ranked by predicted probability (for a binary outcome) or predicted amount (for a continuous variable). For the top decile lift the steps, for a 0/1 classification problem, are. 1. Split records into training and validation samples. 2.STUDENT CATALOG
1 © Statistics.com, an Elder Research Company 3/5/2021 STUDENT CATALOG MISSION STATEMENT The Institute for Statistics Education at Statistics.com is a leading ETHICAL PRACTICE IN DATA MINING Ethical Practice in Data Mining. Prior to the advent of internet-connected devices, the largest source of big data was public interaction on the internet. Social media users, as well as shoppers and searchers on the internet, make an implicit deal with the big companies that provide these services: users can take advantage ofpowerful search
STATISTICS 1 QUIZ
Statistics 1. Take this short test to see if you can skip Statistics 1. You are buying uniforms for young male military recruits. You know the mean chest size and the standard deviation of the chest size. About what proportion of the chest sizes of the recruits would you expect to be within one standard deviation of the mean chest size? PREDICTION VS. EXPLANATION Prediction vs. Explanation: With the advent of Big Data and data mining, statistical methods like regression and CART have been repurposed to use as tools in predictive modeling. When statistical models are used as a tool of research, the goal is to explain relationships in a dataset, and make inference beyond the specificdata to
EFFICIENCY - STATISTICS.COM: DATA SCIENCE, ANALYTICS Efficiency: For an unbiased estimator, efficiency indicates how much its precision is lower than the theoretical limit of precision provided by the Cramer-Rao inequality. A measure of efficiency is the ratio of the theoretically minimal variance to the actual variance of the estimator. This measure falls between 0 and 1. An estimator withefficiency 1.0
REPLICATION
Replication: In statistics, replication is repetition of an experiment or observation in the same or similar conditions. Replication is important because it adds information about the reliability of the conclusions or estimates to be drawn from the data. The statistical methods that assess that reliability rely on replication. For example, if you select a person HAZARD - STATISTICS.COM: DATA SCIENCE, ANALYTICS Hazard. In biostatistics, hazard, or the hazard rate, is the instantaneous rate of an event (death, failure). It is the probability of the event occurring in a (vanishingly) small period of time, divided by the amount of time (mathematically it is the limit of this quantity as the time period goes to 0). The division by a time periodmeans
CUSTOMER ANALYTICS IN R Overview. In this course you will work through a customer analytics project from beginning to end, using R. You will start by gaining an understanding of the problem and the context, and continue to clean, prepare and explore the relevant data. You’ll work on feature engineering, handling dates, summarization, and how to work with the MODEL INTERPRETABILITY Model interpretability refers to the ability for a human to understand and articulate the relationship between a model’s predictors and its outcome. For linear models, including linear and logistic regression, these relationships are seen directly in the model coefficients. For black-box models like neural nets, additional procedures must be overlaid on the model to yield some understandingSTUDENT CATALOG
1 © Statistics.com, an Elder Research Company 3/5/2021 STUDENT CATALOG MISSION STATEMENT The Institute for Statistics Education at Statistics.com is a leading PREDICTION VS. EXPLANATION Prediction vs. Explanation: With the advent of Big Data and data mining, statistical methods like regression and CART have been repurposed to use as tools in predictive modeling. When statistical models are used as a tool of research, the goal is to explain relationships in a dataset, and make inference beyond the specificdata to
STATISTICS 1 QUIZ
Statistics 1. Take this short test to see if you can skip Statistics 1. You are buying uniforms for young male military recruits. You know the mean chest size and the standard deviation of the chest size. About what proportion of the chest sizes of the recruits would you expect to be within one standard deviation of the mean chest size? TERMS AND CONDITIONS OF USE Statistics.com offers academic and professional education in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction. Statistics.com is a part of Elder Research, a data science consultancy with 25 years of experience indata analytics.
DR. DAVID G. KLEINBAUM Dr. David G. Kleinbaum. Dr. David G. Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University. He is internationally known for his textbooks in statistical and epidemiologic methods, and as an outstanding teacher. He has also taught over 175 short courses over the past 30 years throughout the world. STATISTICS.COM LMSSTATISTICS FOR BEGINNERSSTATISTICS FREE ONLINESTATISTICS ONLINESTATISTICS WEBSTATISTICS COMPANYSTATISTICSMEANING MATH
Statistics.com LMS. The Institute for Statistics Education at Statistics.com. is the leading provider of online education in statistics. We offer 100+ courses in introductory and advanced statistical subjects. Students from around the world study with leading authorities via private discussion boards. ALPHABETICAL STATISTICAL SYMBOLS 100+ online courses in statistics Alphabetical Statistical Symbols: Symbol Text Equivalent Meaning Formula Link to Glossary (ifappropriate)
REPLICATION
Replication: In statistics, replication is repetition of an experiment or observation in the same or similar conditions. Replication is important because it adds information about the reliability of the conclusions or estimates to be drawn from the data. The statistical methods that assess that reliability rely on replication. For example, if you select a person SURVEY STATISTICS MASTERY SERIES In this 3-course Mastery Series program, you'll learn how to design, build, and analyze surveys to extract accurate information at minimum cost. This program isn't just theory; you will walk away with practical experience for designing questionnaires, determining best data collection methods, sampling design, and the analysis of surveydata.
DATA PARTITION
Data Partition: Data partitioning in data mining is the division of the whole data available into two or three non-overlapping sets: the training set, the validation set, and the test set.If the data set is very large, often only a portion of it is selected for the partitions. EFFICIENCY - STATISTICS.COM: DATA SCIENCE, ANALYTICS Efficiency: For an unbiased estimator, efficiency indicates how much its precision is lower than the theoretical limit of precision provided by the Cramer-Rao inequality. A measure of efficiency is the ratio of the theoretically minimal variance to the actual variance of the estimator. This measure falls between 0 and 1. An estimator withefficiency 1.0
SAMPLING FRAME
Sampling frame (synonyms: "sample frame", "survey frame") is the actual set of units from which a sample has been drawn: in the case of a simple random sample, all units from the sampling frame have an equal chance to be drawn and to occur in the sample. In the ideal case, the sampling frame should coincide with the population ofinterest.
DR. TAL GALILI
Mr. Tal Galili, online instructor at statistics.com. Lecturer for statistics courses at Tel Aviv University while working on his PhD in statistics there. Also writes the blog R-Statistics, which is a collection basket for his ongoing exploration of R, Statistics, data, WordPress, blogging and open-source. PREDICTION VS. EXPLANATION Prediction vs. Explanation: With the advent of Big Data and data mining, statistical methods like regression and CART have been repurposed to use as tools in predictive modeling. When statistical models are used as a tool of research, the goal is to explain relationships in a dataset, and make inference beyond the specificdata to
ETHICAL PRACTICE IN DATA MINING Ethical Practice in Data Mining. March 28, 2019. , 8:03 pm. Prior to the advent of internet-connected devices, the largest source of big data was public interaction on the internet. Social media users, as well as shoppers and searchers on the internet, make an implicit deal with the big companies that provide these services: users can take STATISTICS.COM LMSSTATISTICS FOR BEGINNERSSTATISTICS FREE ONLINESTATISTICS ONLINESTATISTICS WEBSTATISTICS COMPANYSTATISTICSMEANING MATH
Statistics.com LMS. The Institute for Statistics Education at Statistics.com. is the leading provider of online education in statistics. We offer 100+ courses in introductory and advanced statistical subjects. Students from around the world study with leading authorities via private discussion boards. ALPHABETICAL STATISTICAL SYMBOLS 100+ online courses in statistics Alphabetical Statistical Symbols: Symbol Text Equivalent Meaning Formula Link to Glossary (ifappropriate)
REPLICATION
Replication: In statistics, replication is repetition of an experiment or observation in the same or similar conditions. Replication is important because it adds information about the reliability of the conclusions or estimates to be drawn from the data. The statistical methods that assess that reliability rely on replication. For example, if you select a person SURVEY STATISTICS MASTERY SERIES In this 3-course Mastery Series program, you'll learn how to design, build, and analyze surveys to extract accurate information at minimum cost. This program isn't just theory; you will walk away with practical experience for designing questionnaires, determining best data collection methods, sampling design, and the analysis of surveydata.
DATA PARTITION
Data Partition: Data partitioning in data mining is the division of the whole data available into two or three non-overlapping sets: the training set, the validation set, and the test set.If the data set is very large, often only a portion of it is selected for the partitions. EFFICIENCY - STATISTICS.COM: DATA SCIENCE, ANALYTICS Efficiency: For an unbiased estimator, efficiency indicates how much its precision is lower than the theoretical limit of precision provided by the Cramer-Rao inequality. A measure of efficiency is the ratio of the theoretically minimal variance to the actual variance of the estimator. This measure falls between 0 and 1. An estimator withefficiency 1.0
SAMPLING FRAME
Sampling frame (synonyms: "sample frame", "survey frame") is the actual set of units from which a sample has been drawn: in the case of a simple random sample, all units from the sampling frame have an equal chance to be drawn and to occur in the sample. In the ideal case, the sampling frame should coincide with the population ofinterest.
DR. TAL GALILI
Mr. Tal Galili, online instructor at statistics.com. Lecturer for statistics courses at Tel Aviv University while working on his PhD in statistics there. Also writes the blog R-Statistics, which is a collection basket for his ongoing exploration of R, Statistics, data, WordPress, blogging and open-source. PREDICTION VS. EXPLANATION Prediction vs. Explanation: With the advent of Big Data and data mining, statistical methods like regression and CART have been repurposed to use as tools in predictive modeling. When statistical models are used as a tool of research, the goal is to explain relationships in a dataset, and make inference beyond the specificdata to
ETHICAL PRACTICE IN DATA MINING Ethical Practice in Data Mining. March 28, 2019. , 8:03 pm. Prior to the advent of internet-connected devices, the largest source of big data was public interaction on the internet. Social media users, as well as shoppers and searchers on the internet, make an implicit deal with the big companies that provide these services: users can take STATISTICS.COM: DATA SCIENCE, ANALYTICS & STATISTICS COURSES Online Certificate Programs from Statistics.com. Immerse yourself in a particular discipline from analytics for Data Science to Social Science Statistics. Our online certificate program consists of ten, 4-week online courses at Statistics.com. There are ten courses, which includes electives. The workload for the entire program is theequivalent
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DR. TAL GALILI
Mr. Tal Galili, online instructor at statistics.com. Lecturer for statistics courses at Tel Aviv University while working on his PhD in statistics there. Also writes the blog R-Statistics, which is a collection basket for his ongoing exploration of R, Statistics, data, WordPress, blogging and open-source. SURVEY STATISTICS MASTERY SERIES In this 3-course Mastery Series program, you'll learn how to design, build, and analyze surveys to extract accurate information at minimum cost. This program isn't just theory; you will walk away with practical experience for designing questionnaires, determining best data collection methods, sampling design, and the analysis of surveydata.
DECILE LIFT
Decile lift is this measure applied to deciles of the target records ranked by predicted probability (for a binary outcome) or predicted amount (for a continuous variable). For the top decile lift the steps, for a 0/1 classification problem, are. 1. Split records into training and validation samples. 2. REPLICATE - STATISTICS.COM: DATA SCIENCE, ANALYTICS Replicate: A replicate is the outcome of an experiment or observation obtained in course of its replication.In applied statistics, a set of replicates obtained in a series of replications of the experiment or observations is considered as a sample from a much bigger population. This creates the logical basis to apply statistical methods and derive some conclusions about the population as a whole. SQL - INTRODUCTION TO DATABASE QUERIES COURSE - STATISTICS The SQL (structured query language) programming language is often used to pull data from the various tables in a database and to assemble the data in a format amenable to statistical analysis or review.R0 (R-NOUGHT)
R0 (R-nought) For infectious diseases, R0 (R-nought) is the unimpeded replication rate of the disease pathogen in a naive (not immune) population. An R0 of 2 means that each person with the disease infects two others. Some things to keep in mind: An R0 of one means that the disease will spread, but the total number affected will remainconstant
DR. DAVID G. KLEINBAUM Dr. David G. Kleinbaum. Dr. David G. Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University. He is internationally known for his textbooks in statistical and epidemiologic methods, and as an outstanding teacher. He has also taught over 175 short courses over the past 30 years throughout the world. DR. MICHAEL BORENSTEIN Dr. Michael Borenstein is the Director of Biostat, a company that develops statistical software. Dr. Borenstein is the primary developer of Power And Precision, a computer program for sample size calculation, and of Comprehensive Meta Analysis, a computer program for meta analysis and systematic reviews.Skip to content
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