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Hypothesis Testing: An Intuitive Guide For Making Data Driven Decisions by JIM FROST is a mathematics available to read on EtoBox.
What is Hypothesis Testing: An Intuitive Guide For Making Data Driven Decisions about?
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 Descriptive Statistics Won’t Answer the Question A Sampling Distribution Determines Whether Our Sample Mean is Unlikely Graphing our Sample Mean in the Context of the Sampling Distribution Graphing Significance Levels as Critical Regions What Are P-values? Using P-values and Significance Levels Together Discussion about Statistically Significant Results How Confidence Intervals Work Precision of the Estimate Graphical Representation Confidence Intervals and P-values Always Agree I Really Like Confidence Intervals! Review and Next Steps T-Test Uses, Assumptions, and Analyses 1-Sample t-Tests Assumptions 1-sample t-test example 2-Sample t-Tests Assumptions 2-sample t-test example Pai
Who reads Hypothesis Testing: An Intuitive Guide For Making Data Driven Decisions?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- JIM FROST
- Published
- 2020
- Language
- EN
- Category
- mathematics
- Subjects
- Mathematics, Mathematical Statistics, Stem
- Rating
- 4.5 / 5 (125 ratings)
- Updated
- 2026-03-14
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