Module 22 – Hypothesis Test for a Population Mean Lab (13 of 19 discussion 1) AND Module 23 – Hypothesis Test for a Difference in Two Population Means (5 of 7 discussion 1)

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Module 22 – Hypothesis Test for a Population Mean Lab (13 of 19 discussion 1)

Prompt

The drinks datafile is available in the Data section below.

  1. Let LaTeX: mu
    μ
    be the mean number of alcoholic beverages that students in the liberal arts college drink in a typical week. State the hypotheses.
  2. Here is a histogram of the data. Can we safely use the t-test with this data? Explain.
    Histogram: strong peak on the left, no left tail, long right tail
  3. Perform the t-test using StatCrunch. (directions)
    Copy and paste the information from the StatCrunch output window into your initial post.
  4. Based on the P-value, state your conclusions in context. Use a 5% level of significance.
    NOTE: You do not need to double the P-value for this two-tailed test. StatCrunch calculates the P-value for you.
  5. Using the context of this scenario, explain the meaning of each of following items from the StatCrunch output for the hypothesis test.
    1. Std. Err (standard error)
    2. T-stat (T-score)
    3. P-value

Module 23 – Hypothesis Test for a Difference in Two Population Means (5 of 7 discussion 1)

Prompt

  1. State the null and alternative hypotheses. Include a clear description of the populations and the variable.
  2. Explain why we can safely use the two-sample T-test in this case.
  3. Use StatCrunch to carry out the test. (directions)
    Copy and paste the content of in the StatCrunch output window (text and the table) in your initial post.
  4. State a conclusion in the context of this problem.

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