Learning From Data
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Learning From Data
An Introduction to Statistical Reasoning using JASP
Glenberg, Arthur M.; Andrzejewski, Matthew E.
Taylor & Francis Ltd
07/2024
536
Dura
9780367457983
Pré-lançamento - envio 15 a 20 dias após a sua edição
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01. Why Statistics? 02. Frequency Distributions and Percentiles 03. Central Tendency and Variability 04. z Scores and Normal Distributions 05. Overview of Inferential Statistics 06. Probability 07. Sampling Distributions 08. Logic of Hypothesis Testing 09. Power 10. Logic of Parameter Estimation 11. Inferences About Population Proportions Using the z Statistic 12. Inferences About ? When ? Is Unknown: The Single-sample t Test 13. Comparing Two Populations: Independent Samples 14. Random Sampling, Random Assignment, and Causality 15. Comparing Two Populations: Dependent Samples 16. Comparing Two Population Means: The Independent Sample ANOVA 17. One-Factor ANOVA for Dependent Samples 18. Introduction to Factorial Designs 19. Describing Linear Relationships: Regression 20. Measuring the Strength of Linear Relationships: Correlation 21. Inferences From Nominal Data: The ?2 Statistic 22. Introduction to Bayesian Statistics
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sampling;distribution;assumptions;assumption;hypothesis;decision;rule;test;statistic;Descriptive statistics;Interpret psychological data;Probability theory;Statistical reasoning;Inferential statistics
01. Why Statistics? 02. Frequency Distributions and Percentiles 03. Central Tendency and Variability 04. z Scores and Normal Distributions 05. Overview of Inferential Statistics 06. Probability 07. Sampling Distributions 08. Logic of Hypothesis Testing 09. Power 10. Logic of Parameter Estimation 11. Inferences About Population Proportions Using the z Statistic 12. Inferences About ? When ? Is Unknown: The Single-sample t Test 13. Comparing Two Populations: Independent Samples 14. Random Sampling, Random Assignment, and Causality 15. Comparing Two Populations: Dependent Samples 16. Comparing Two Population Means: The Independent Sample ANOVA 17. One-Factor ANOVA for Dependent Samples 18. Introduction to Factorial Designs 19. Describing Linear Relationships: Regression 20. Measuring the Strength of Linear Relationships: Correlation 21. Inferences From Nominal Data: The ?2 Statistic 22. Introduction to Bayesian Statistics
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
