Response to Student Kristyn Bryant
You discussion accurately describes the quantitative hypothesis testing based on the provided terminologies. As such, it correctly identifies an appropriate research case where it can be applied. Taking the example of the determination of the monthly sales for grade school-sized shoes; the discussion goes to the details of proving how the various aspects of quantitative hypothesis testing apply. However, your discussion narrows to the specified concepts rather than bring the broad idea of the process of quantitative hypothesis testing. For instance, I would expect you to specify at what stages the various concepts are applicable in the quantitative hypothesis testing. For example, describe how the hypothesis is formed, how it leads to the null and alternative hypothesis and the acceptance and rejection of the null hypothesis process. Nonetheless, the discussion of the specific concepts proves an understanding of what the subject entails.
Response to Student Edward Enelamah
Your discussion provides an appropriate example of quantitative hypothesis testing. It tries further to describe the process of conducting the test by stating the formulated test hypothesis. Your case research seeks to determine the relationship of the number of withdrawals and deposits between two age groups; 16 -31 and 32-60 years. It is accurate to develop the null hypothesis from the research question. Thus, agree with the preferred option that seems obvious without subjecting the data to statistical data. The alternate hypothesis, on the other hand, should be the direct opposite of the null hypothesis. Your alternate hypothesis is, therefore, inaccurate. It should not go into details of determining which age group has more or fewer deposits and withdrawals. Instead, it should state that there is a difference between the withdrawals and deposits made by customers aged 16-31 and those made by 32- 60. Finally, your explanation of the errors is accurate. The discussion correctly shows that type 1 error results from the rejection of a correct hypothesis while type II error the acceptance of a false hypothesis.
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