Frost J. Hypothesis Testing. An Intuitive Guide…2020

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Goals for this Book
Fundamental Concepts
Descriptive vs. Inferential Statistics
Population Parameters vs. Sample Statistics
Random Sampling Error
Parametric versus Nonparametric Analyses
Hypothesis Testing
Null Hypothesis
Alternative Hypothesis
Effect
Significance Level (Alpha)
P-values
Statistical Significance
Confidence intervals (CIs)
Significance Levels In-Depth
Evidentiary Standards in the Courtroom
Significance Levels as an Evidentiary Standard
Changing Significance Levels
How Hypothesis Tests Work
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How Bootstrapping Resamples Your Data to Create Simulated Datasets
Example of Bootstrap Samples
How Well Does Bootstrapping Work?
Example of Using Bootstrapping to Create Confidence Intervals
Performing the bootstrap procedure
Benefits of Bootstrapping over Traditional Statistics
For Which Sample Statistics Can I Use Bootstrapping?
Wrapping Up
Review of What You Learned in this Book
Next Steps for Further Study
Index of Hypothesis Tests by Data Types
Continuous Data
Binary Data
Count Data
Categorical Data
Ordinal and Ranked Data
References
About the Author

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Frost J. Hypothesis Testing. An Intuitive Guide…2020
Frost J. Hypothesis Testing. An Intuitive Guide…2020

$5.00 $1.57

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