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  • https://stats.libretexts.org/Courses/Long_Beach_City_College/Book%3A_STAT_227_-_Introductory_Statistics/Text/11%3A_The_Chi-Square_Distribution/11.07%3A_Test_of_a_Single_Variance
    A test of a single variance assumes that the underlying distribution is normal. The null and alternative hypotheses are stated in terms of the population variance (or population standard deviation). A...A test of a single variance assumes that the underlying distribution is normal. The null and alternative hypotheses are stated in terms of the population variance (or population standard deviation). A test of a single variance may be right-tailed, left-tailed, or two-tailed
  • https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/MATH-201%3A_Elements_of_Statistics_and_Probability/11%3A_The_Chi-Square_Distribution/11.07%3A_Test_of_a_Single_Variance
    A test of a single variance assumes that the underlying distribution is normal. The null and alternative hypotheses are stated in terms of the population variance (or population standard deviation). A...A test of a single variance assumes that the underlying distribution is normal. The null and alternative hypotheses are stated in terms of the population variance (or population standard deviation). A test of a single variance may be right-tailed, left-tailed, or two-tailed
  • https://stats.libretexts.org/Courses/Los_Angeles_City_College/Introductory_Statistics/11%3A_The_Chi-Square_Distribution/11.07%3A_Test_of_a_Single_Variance
    A test of a single variance assumes that the underlying distribution is normal. The null and alternative hypotheses are stated in terms of the population variance (or population standard deviation). A...A test of a single variance assumes that the underlying distribution is normal. The null and alternative hypotheses are stated in terms of the population variance (or population standard deviation). A test of a single variance may be right-tailed, left-tailed, or two-tailed
  • https://stats.libretexts.org/Courses/El_Camino_College/Introductory_Statistics/11%3A_The_Chi-Square_Distribution/11.07%3A_Test_of_a_Single_Variance
    A test of a single variance assumes that the underlying distribution is normal. The null and alternative hypotheses are stated in terms of the population variance (or population standard deviation). A...A test of a single variance assumes that the underlying distribution is normal. The null and alternative hypotheses are stated in terms of the population variance (or population standard deviation). A test of a single variance may be right-tailed, left-tailed, or two-tailed

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