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  • https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/BFE_1201_Statistical_Methods_for_Finance_(Kuter)/07%3A_Hypothesis_Testing/7.10%3A_Comparing_Two_Independent_Population_Proportions
    Like the case of differences in sample means, we construct a sampling distribution for differences in sample proportions: (pApB) where \(p_{A}^{\prime}=X_{\frac...Like the case of differences in sample means, we construct a sampling distribution for differences in sample proportions: (pApB) where pA=XAnA and pB=XBnB are the sample proportions for the two sets of data in question. XA and XB are the number of successes in each sample group respectively, and nA and nB are the respective sample sizes from the two groups.
  • https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/10%3A_Hypothesis_Testing_with_Two_Samples/10.05%3A_Comparing_Two_Independent_Population_Proportions
    Like the case of differences in sample means, we construct a sampling distribution for differences in sample proportions: (pApB) where \(p_{A}^{\prime}=X_{\frac...Like the case of differences in sample means, we construct a sampling distribution for differences in sample proportions: (pApB) where pA=XAnA and pB=XBnB are the sample proportions for the two sets of data in question. XA and XB are the number of successes in each sample group respectively, and nA and nB are the respective sample sizes from the two groups.
  • https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/10%3A_Hypothesis_Testing_with_Two_Samples/10.05%3A_Comparing_Two_Independent_Population_Proportions
    Like the case of differences in sample means, we construct a sampling distribution for differences in sample proportions: (pApB) where \(p_{A}^{\prime}=X_{\frac...Like the case of differences in sample means, we construct a sampling distribution for differences in sample proportions: (pApB) where pA=XAnA and pB=XBnB are the sample proportions for the two sets of data in question. XA and XB are the number of successes in each sample group respectively, and nA and nB are the respective sample sizes from the two groups.

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