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- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/11%3A_The_Chi-Square_Distribution/11.06%3A_Comparison_of_the_Chi-Square_TextsThis page discusses the χ2 test applied in three scenarios: 1) Goodness-of-Fit, assessing if a sample fits a known distribution; 2) Independence, evaluating the relationship between two qualitative va...This page discusses the χ2 test applied in three scenarios: 1) Goodness-of-Fit, assessing if a sample fits a known distribution; 2) Independence, evaluating the relationship between two qualitative variables; and 3) Homogeneity, determining if two populations share the same distribution. Each scenario has a null hypothesis positing a fit or independence, and an alternative hypothesis suggesting otherwise.
- https://stats.libretexts.org/Courses/Fort_Hays_State_University/Elements_of_Statistics/01%3A_Introduction_to_Statistics/1.05%3A_VariablesVariables are properties or characteristics of some event, object, or person that can take on different values or amounts. Just as there are different types of characteristics, there are different typ...Variables are properties or characteristics of some event, object, or person that can take on different values or amounts. Just as there are different types of characteristics, there are different types of variables. Some variable types do not admit certain computations and analyses; so, it is important that we pay close attention to the variables and data that we analyze.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/01%3A_Sampling_and_Data/1.07%3A_ReviewThis page introduces key statistical concepts, covering data types (qualitative and quantitative) and sampling methods for reliable representation. It details the four measurement levels (nominal, ord...This page introduces key statistical concepts, covering data types (qualitative and quantitative) and sampling methods for reliable representation. It details the four measurement levels (nominal, ordinal, interval, ratio) and stresses accurate data reporting and organization. It also highlights the significance of experimental design, including random assignment and control groups, while addressing ethical considerations in statistics.
