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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/7.03%3A_Outcomes_and_the_Type_I_and_Type_II_Errors
    This level of significance is the alpha error and is marked on Figure 9.2 as the shaded areas in each tail of the H0 distribution. (Each area is actually \alpha/2 because the distribution is symm...This level of significance is the alpha error and is marked on Figure 9.2 as the shaded areas in each tail of the H0 distribution. (Each area is actually \alpha/2 because the distribution is symmetrical and the alternative hypothesis allows for the possibility for the value to be either greater than or less than the hypothesized value--called a two-tailed test).
  • https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/09%3A_Hypothesis_Testing_with_One_Sample/9.03%3A_Outcomes_and_the_Type_I_and_Type_II_Errors
    This level of significance is the alpha error and is marked in Figure 9.2 as the shaded areas in each tail of the H0 distribution. (Each area is actually α/2 because the distribution is ...This level of significance is the alpha error and is marked in Figure 9.2 as the shaded areas in each tail of the H0 distribution. (Each area is actually α/2 because the distribution is symmetrical and the alternative hypothesis allows for the possibility for the value to be either greater than or less than the hypothesized value--called a two-tailed test).
  • https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/09%3A_Hypothesis_Testing_with_One_Sample/9.03%3A_Outcomes_and_the_Type_I_and_Type_II_Errors
    This level of significance is the alpha error and is marked on Figure 9.2 as the shaded areas in each tail of the H0 distribution. (Each area is actually \alpha/2 because the distribution is symm...This level of significance is the alpha error and is marked on Figure 9.2 as the shaded areas in each tail of the H0 distribution. (Each area is actually \alpha/2 because the distribution is symmetrical and the alternative hypothesis allows for the possibility for the value to be either greater than or less than the hypothesized value--called a two-tailed test).

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