Логотип
  • Prologue

Заданий фон

  • Why do we learn statistics?
  • A brief introduction to research design

Введение в jamovi

  • Getting started with jamovi
  • Descriptive statistics
  • Drawing graphs
  • Pragmatic matters

Статистическая теория

  • Statistical theory: A Prelude
  • Introduction to probability
  • Estimating unknown quantities from a sample
  • Hypothesis testing

Статистические инструменты

  • Categorical data analysis
  • Comparing two means
  • Correlation and linear regression
    • Correlations
    • Scatterplots
    • What is a linear regression model?
    • Estimating a linear regression model
    • Multiple linear regression
    • Quantifying the fit of the regression model
    • Hypothesis tests for regression models
    • Regarding regression coefficients
    • Assumptions of regression
    • Model checking
    • Model selection
    • Summary
  • Comparing several means (one-way ANOVA)
  • Factorial ANOVA
  • Factor Analysis

Концовки, альтернативы, перспективы

  • Bayesian statistics
  • Epilogue
  • References
Learning statistics with jamovi
  • Correlation and linear regression
  • Summary

Автор раздела: Danielle J. Navarro and David R. Foxcroft

Summary

  • Want to know how strong the relationship is between two variables? Calculate a correlation

  • Drawing scatterplots

  • Basic ideas in linear regression and how regression models are estimated

  • Multiple linear regression

  • Measuring the overall performance of a regression model using *R*²

  • Hypothesis tests for regression models

  • Calculating confidence intervals for regression coefficients and standardised coefficients

  • The assumptions of regression and how to check them

  • Selecting a regression model

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© Авторские права 2011-2025, Danielle J. Navarro, David R. Foxcroft, and Sebastian Jentschke (curating this documentation). This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License..