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Synopsis
The world produces more data than ever. Are you ready for it?
In today’s data-driven world, you hear about making decisions based on data all the time. Hypothesis testing plays a crucial role in that process, whether you’re in academia, business, or data science. Without hypothesis tests, you risk making bad decisions.
Chances are high you’ll need to understand these tests to analyze your data and evaluate the work of others.
Build the knowledge for effective hypothesis testing! Know when to use each test, how to use them reliably, and how to interpret the results correctly!
- Understand why you need hypothesis tests and how they work.
- Effectively use significance levels, p-values, confidence intervals.
- Select the correct type of test to answer your question.
- Learn how to test means, medians, variances, proportions, distributions, counts, correlations for continuous and categorical data, and find outliers.
- One-Way ANOVA, Two-Way ANOVA, and interaction effects.
- Check assumptions to obtain reliable results.
- Manage the error rates for false positives and false negatives.
- Understand sampling distributions, the central limit theorem, and statistical power.
- Know how t-tests, F-tests, chi-squared, and post hoc tests work.
- Learn about differences between parametric, nonparametric, and bootstrapping methods.
- Examples of many hypothesis tests.
- Access free downloadable datasets so you can try it yourself.
About the Author
Jim Frost has extensive experience using statistical analysis in academic research and consulting projects. He’s been performing statistical analysis on-the-job for over 20 years. For 10 of those years, he was at a statistical software company helping others make the most out of their data. Jim loves sharing the joy of statistics. To help with this process, he has his own website and writes a regular column for the American Society of Quality's Statistics Digest.
"synopsis" may belong to another edition of this title.
About the Author
Jim Frost has extensive experience using statistical analysis in academic research and consulting projects. He's been performing statistical analysis on-the-job for over 20 years. For 10 of those years, he was at a statistical software company helping others make the most out of their data. Jim loves sharing the joy of statistics. To help with this process, he has his own website and writes a regular column for the American Society of Quality's Statistics Digest.
"About this title" may belong to another edition of this title.
- PublisherStatistics By Jim Publishing
- Publication date2024
- ISBN 13 9798991193580
- BindingHardcover
- LanguageEnglish
- Number of pages389
- Rating
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Hardcover. Condition: new. Hardcover. The world produces more data than ever. Are you ready for it?In today's data-driven world, you hear about making decisions based on data all the time. Hypothesis testing plays a crucial role in that process, whether you're in academia, business, or data science. Without hypothesis tests, you risk making bad decisions.Chances are high you'll need to understand these tests to analyze your data and evaluate the work of others.Build the knowledge for effective hypothesis testing! Know when to use each test, how to use them reliably, and how to interpret the results correctly!Understand why you need hypothesis tests and how they work.Effectively use significance levels, p-values, confidence intervals.Select the correct type of test to answer your question.Learn how to test means, medians, variances, proportions, distributions, counts, correlations for continuous and categorical data, and find outliers.One-Way ANOVA, Two-Way ANOVA, and interaction effects.Check assumptions to obtain reliable results.Manage the error rates for false positives and false negatives.Understand sampling distributions, the central limit theorem, and statistical power.Know how t-tests, F-tests, chi-squared, and post hoc tests work.Learn about differences between parametric, nonparametric, and bootstrapping methods.Examples of many hypothesis tests.Access free downloadable datasets so you can try it yourself. In today's data-driven world, you hear about making decisions based on data all the time. Hypothesis testing plays a crucial role in that process for academia, business, or data science. Without hypothesis tests, you risk bad decisions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798991193580
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The world produces more data than ever. Are you ready for it In today's data-driven world, you hear about making decisions based on data all the time. Hypothesis testing plays a crucial role in that process, whether you're in academia, business, or data science. Without hypothesis tests, you risk making bad decisions.Chances are high you'll need to understand these tests to analyze your data and evaluate the work of others.Build the knowledge for effective hypothesis testing! Know when to use each test, how to use them reliably, and how to interpret the results correctly!Understand why you need hypothesis tests and how they work.Effectively use significance levels, p-values, confidence intervals.Select the correct type of test to answer your question.Learn how to test means, medians, variances, proportions, distributions, counts, correlations for continuous and categorical data, and find outliers.One-Way ANOVA, Two-Way ANOVA, and interaction effects.Check assumptions to obtain reliable results.Manage the error rates for false positives and false negatives.Understand sampling distributions, the central limit theorem, and statistical power.Know how t-tests, F-tests, chi-squared, and post hoc tests work.Learn about differences between parametric, nonparametric, and bootstrapping methods.Examples of many hypothesis tests.Access free downloadable datasets so you can try it yourself. Seller Inventory # 9798991193580
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Hypothesis Testing (Hardcover)
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Hardcover. Condition: new. Hardcover. The world produces more data than ever. Are you ready for it?In today's data-driven world, you hear about making decisions based on data all the time. Hypothesis testing plays a crucial role in that process, whether you're in academia, business, or data science. Without hypothesis tests, you risk making bad decisions.Chances are high you'll need to understand these tests to analyze your data and evaluate the work of others.Build the knowledge for effective hypothesis testing! Know when to use each test, how to use them reliably, and how to interpret the results correctly!Understand why you need hypothesis tests and how they work.Effectively use significance levels, p-values, confidence intervals.Select the correct type of test to answer your question.Learn how to test means, medians, variances, proportions, distributions, counts, correlations for continuous and categorical data, and find outliers.One-Way ANOVA, Two-Way ANOVA, and interaction effects.Check assumptions to obtain reliable results.Manage the error rates for false positives and false negatives.Understand sampling distributions, the central limit theorem, and statistical power.Know how t-tests, F-tests, chi-squared, and post hoc tests work.Learn about differences between parametric, nonparametric, and bootstrapping methods.Examples of many hypothesis tests.Access free downloadable datasets so you can try it yourself. In today's data-driven world, you hear about making decisions based on data all the time. Hypothesis testing plays a crucial role in that process for academia, business, or data science. Without hypothesis tests, you risk bad decisions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798991193580
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Hypothesis Testing (Hardcover)
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Hardcover. Condition: new. Hardcover. The world produces more data than ever. Are you ready for it?In today's data-driven world, you hear about making decisions based on data all the time. Hypothesis testing plays a crucial role in that process, whether you're in academia, business, or data science. Without hypothesis tests, you risk making bad decisions.Chances are high you'll need to understand these tests to analyze your data and evaluate the work of others.Build the knowledge for effective hypothesis testing! Know when to use each test, how to use them reliably, and how to interpret the results correctly!Understand why you need hypothesis tests and how they work.Effectively use significance levels, p-values, confidence intervals.Select the correct type of test to answer your question.Learn how to test means, medians, variances, proportions, distributions, counts, correlations for continuous and categorical data, and find outliers.One-Way ANOVA, Two-Way ANOVA, and interaction effects.Check assumptions to obtain reliable results.Manage the error rates for false positives and false negatives.Understand sampling distributions, the central limit theorem, and statistical power.Know how t-tests, F-tests, chi-squared, and post hoc tests work.Learn about differences between parametric, nonparametric, and bootstrapping methods.Examples of many hypothesis tests.Access free downloadable datasets so you can try it yourself. In today's data-driven world, you hear about making decisions based on data all the time. Hypothesis testing plays a crucial role in that process for academia, business, or data science. Without hypothesis tests, you risk bad decisions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798991193580
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