Search
- Filter Results
- Location
- Classification
- Include attachments
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Statistics_Through_an_Equity_Lens_(Anthony)/01%3A_Chapters/1.05%3A_Significance_of_Statistical_Inference_MethodsThis chapter explores inferential statistics, focusing on concepts such as confidence intervals, hypothesis testing, and errors in statistical inference. It emphasizes the importance of understanding ...This chapter explores inferential statistics, focusing on concepts such as confidence intervals, hypothesis testing, and errors in statistical inference. It emphasizes the importance of understanding sampling variations and discusses tests like t-tests and chi-square tests. It also touches on the misuse of statistics in scientific racism, emphasizing the need for socially just statistical methods. The chapter links statistical inference to broader societal issues.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/00%3A_Front_Matter/05%3A_PrefaceThis page provides a comprehensive resource for a one-semester statistics course tailored for business and economics students. It emphasizes practical applications, core concepts, and includes real-wo...This page provides a comprehensive resource for a one-semester statistics course tailored for business and economics students. It emphasizes practical applications, core concepts, and includes real-world examples. Developed from an OpenStax version with faculty input, it features a focus on formulas, statistical inference, and problem-solving examples.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Basic_Statistics_Using_R_for_Crime_Analysis_(Choi)/01%3A_Chapters/1.10%3A_Linear_RegressionThis page provides an introduction to regression analysis, highlighting its relationship with correlation analysis. Regression is a statistical method used to understand and predict the relationship b...This page provides an introduction to regression analysis, highlighting its relationship with correlation analysis. Regression is a statistical method used to understand and predict the relationship between dependent and independent variables. The chapter focuses on simple and multiple linear regression, explained through an inmate survey study assessing the impact of low self-control and age on risky lifestyles.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/12%3A_F_Distribution_and_One-Way_ANOVA/12.04%3A_Facts_About_the_F_DistributionThis page covers the F distribution's properties and its application in ANOVA for variance analysis. It highlights the right-skewed nature of the F distribution, its relation to degrees of freedom, an...This page covers the F distribution's properties and its application in ANOVA for variance analysis. It highlights the right-skewed nature of the F distribution, its relation to degrees of freedom, and the significance of the F statistic in testing null hypotheses. Several examples demonstrate one-way ANOVA, including analyses of tomato yields, sorority GPAs, and bean plant heights, where null hypotheses were not rejected due to high p-values.
