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- https://stats.libretexts.org/Courses/Fresno_City_College/Math_11%3A_Elementary_Statistics/09%3A_Two-Sample_Problems/9.04%3A_Sample_Size_ConsiderationsThe minimum equal sample sizes needed to obtain a confidence interval for the difference in two population proportions with a given maximum error of the estimate and a given level of confidence can al...The minimum equal sample sizes needed to obtain a confidence interval for the difference in two population proportions with a given maximum error of the estimate and a given level of confidence can always be estimated. If there is prior knowledge of the population proportions p1 and p2 then the estimate can be sharpened.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Shafer_and_Zhang)/09%3A_Two-Sample_Problems/9.05%3A_Sample_Size_ConsiderationsThe minimum equal sample sizes needed to obtain a confidence interval for the difference in two population proportions with a given maximum error of the estimate and a given level of confidence can al...The minimum equal sample sizes needed to obtain a confidence interval for the difference in two population proportions with a given maximum error of the estimate and a given level of confidence can always be estimated. If there is prior knowledge of the population proportions p1 and p2 then the estimate can be sharpened.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Statistics_Through_an_Equity_Lens_(Anthony)/01%3A_Chapters/1.01%3A_An_Overview_of_StatisticsThis page introduces the concept of equity-mindfulness in statistics, focusing on applying statistical methods to social justice issues in healthcare. It covers fundamental topics such as data equity,...This page introduces the concept of equity-mindfulness in statistics, focusing on applying statistical methods to social justice issues in healthcare. It covers fundamental topics such as data equity, health equity frameworks, and the social determinants of health. It emphasizes understanding disparities in health outcomes across different racial and socioeconomic groups. Basic statistical concepts, data classifications, levels of measurement, and sampling techniques are outlined.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/14%3A_Apppendices/14.01%3A_B__Mathematical_Phrases_Symbols_and_Formulas/14.1.02%3A_FormulasThis page summarizes essential concepts in probability and statistics, covering key rules, distributions, and formulas for calculating probabilities, means, and variances. It delves into hypothesis te...This page summarizes essential concepts in probability and statistics, covering key rules, distributions, and formulas for calculating probabilities, means, and variances. It delves into hypothesis testing and confidence intervals using Z, t, Chi-square, and F tests.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/11%3A_The_Chi-Square_Distribution/11.09%3A_Formula_ReviewThis page provides an overview of the chi-square distribution, detailing its definition, expected mean, and standard deviation. It explains the testing of a single variance, along with its formula and...This page provides an overview of the chi-square distribution, detailing its definition, expected mean, and standard deviation. It explains the testing of a single variance, along with its formula and the procedure that includes calculating degrees of freedom. It also covers the goodness-of-fit test, the test of independence, and the test for homogeneity, each with their formulas and degrees of freedom.
- https://stats.libretexts.org/Courses/Fort_Hays_State_University/Elements_of_Statistics/01%3A_Introduction_to_Statistics/1.04%3A_Sampling_MethodsSampling is the means by which sample data is collected, and it plays a significant role in inferential statistics. There are many ways to sample; some are better than others.
