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- https://stats.libretexts.org/Courses/Rio_Hondo_College/Math_130%3A_Statistics/10%3A_Hypothesis_Testing_with_Two_Samples/10.04%3A_Matched_or_Paired_Samples_Part_2When using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) a...When using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) are drawn from the same pair of individuals or objects. Differences are calculated from the matched or paired samples. The differences form the sample that is used for the hypothesis test. Either the matched pairs have differences that come from a population that is normal or the number of difference
- https://stats.libretexts.org/Courses/Marian_University/Applied_Statistics_for_Social_Science/07%3A_Hypothesis_Testing_with_Two_Samples/7.3%3A_Matched_or_Paired_SamplesWhen using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) a...When using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) are drawn from the same pair of individuals or objects. Differences are calculated from the matched or paired samples. The differences form the sample that is used for the hypothesis test. Either the matched pairs have differences that come from a population that is normal or the number of difference
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/10%3A_Hypothesis_Testing_with_Two_Samples/10.05%3A_Two_Population_Means_with_Known_Standard_DeviationsThis page covers hypothesis testing for independent means with known population standard deviations, using examples of floor wax efficacy and U.S. senator ages. It establishes null hypotheses to compa...This page covers hypothesis testing for independent means with known population standard deviations, using examples of floor wax efficacy and U.S. senator ages. It establishes null hypotheses to compare means and finds insufficient evidence to support alternative hypotheses, concluding that wax 1 does not outperform wax 2 and that Democratic senators are not older than their Republican counterparts at a 5% significance level.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/09%3A_Hypothesis_Testing_with_One_Sample/9.03%3A_One-Sample_TestThis page covers hypothesis testing for population means and proportions, detailing the use of normal and Student's \(t\)-distributions, calculation of test statistics (Z-values), and decision-making ...This page covers hypothesis testing for population means and proportions, detailing the use of normal and Student's \(t\)-distributions, calculation of test statistics (Z-values), and decision-making based on critical values and p-values. It emphasizes the bias towards the null hypothesis, discusses one-tailed and two-tailed tests, and outlines a systematic approach for hypothesis testing, including the importance of sample size and the appropriate distribution based on known standard deviation.
- https://stats.libretexts.org/Courses/Remixer_University/Username%3A_ckkidder08marianuniversityedu/Applied_Statistics_for_Social_Science_(19-20)/07%3A_Hypothesis_Testing_with_Two_Samples/7.3%3A_Matched_or_Paired_SamplesWhen using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) a...When using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) are drawn from the same pair of individuals or objects. Differences are calculated from the matched or paired samples. The differences form the sample that is used for the hypothesis test. Either the matched pairs have differences that come from a population that is normal or the number of difference
- https://stats.libretexts.org/Courses/Marian_University/Applied_Statistics_for_Social_Science_(19-20)/07%3A_Hypothesis_Testing_with_Two_Samples/7.3%3A_Matched_or_Paired_SamplesWhen using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) a...When using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) are drawn from the same pair of individuals or objects. Differences are calculated from the matched or paired samples. The differences form the sample that is used for the hypothesis test. Either the matched pairs have differences that come from a population that is normal or the number of difference
- https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/Book%3A_Introductory_Statistics_(OpenStax)_With_Multimedia_and_Interactivity_LibreTexts_Calculator/10%3A_Hypothesis_Testing_and_Confidence_Intervals_with_Two_Samples/10.05%3A_Matched_or_Paired_SamplesWhen using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) a...When using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) are drawn from the same pair of individuals or objects. Differences are calculated from the matched or paired samples. The differences form the sample that is used for the hypothesis test. Either the matched pairs have differences that come from a population that is normal or the number of difference
- https://stats.libretexts.org/Courses/El_Camino_College/Introductory_Statistics/10%3A_Hypothesis_Testing_with_Two_Samples/10.5%3A_Matched_or_Paired_SamplesWhen using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) a...When using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) are drawn from the same pair of individuals or objects. Differences are calculated from the matched or paired samples. The differences form the sample that is used for the hypothesis test. Either the matched pairs have differences that come from a population that is normal or the number of difference
- https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/09%3A_Hypothesis_Testing_with_One_Sample/9.04%3A_Distribution_Needed_for_Hypothesis_TestingThe horizontal axis of the bottom panel is labeled \(Z\) and is the standard normal distribution. \(Z_{\frac{\alpha}{2}}\) and \(-Z_{\frac{\alpha}{2}}\), called the critical values, are marked on the ...The horizontal axis of the bottom panel is labeled \(Z\) and is the standard normal distribution. \(Z_{\frac{\alpha}{2}}\) and \(-Z_{\frac{\alpha}{2}}\), called the critical values, are marked on the bottom panel as the \(Z\) values associated with the probability the analyst has set as the level of significance in the test, (\(\alpha\)).
- https://stats.libretexts.org/Courses/Los_Angeles_City_College/Introductory_Statistics/10%3A_Hypothesis_Testing_with_Two_Samples/10.05%3A_Matched_or_Paired_SamplesWhen using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) a...When using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) are drawn from the same pair of individuals or objects. Differences are calculated from the matched or paired samples. The differences form the sample that is used for the hypothesis test. Either the matched pairs have differences that come from a population that is normal or the number of difference
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_1e_(OpenStax)/10%3A_Hypothesis_Testing_with_Two_Samples/10.05%3A_Matched_or_Paired_SamplesWhen using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) a...When using a hypothesis test for matched or paired samples, the following characteristics should be present: Simple random sampling is used. Sample sizes are often small. Two measurements (samples) are drawn from the same pair of individuals or objects. Differences are calculated from the matched or paired samples. The differences form the sample that is used for the hypothesis test. Either the matched pairs have differences that come from a population that is normal or the number of difference
