A food distribution company claims that a fast food restaurant chain receives, on average, 25 pounds of meat on a daily basis. The district manager of the restaurant chain decides to randomly sample 37 shipments from the company and finds a mean weight of 23.5 pounds with a standard deviation of 4.5 pounds. Test at a 1% level of significance to determine whether or not the food distribution company sends less than they claim.
  1. Check all of the requirements that are satisfied.

  2. Identify the null and alternative hypotheses.

    H0\displaystyle {H}_{{{0}}}:

    H1\displaystyle {H}_{{{1}}}:

  3. What type of hypothesis test should you conduct (left, right, or two-tailed)?

  4. Identify the appropriate significance level. Make sure to enter your answer as a decimal.

  5. Which calculator function should you use?

  6. Find the test statistic. Write the result below, and be sure to round your final answer to two decimal places.

  7. Find the p-value. Enter your answer as a decimal (not a percentage) and round to 4 decimal places.

  8. Should you reject or not reject the null hypothesis?

  9. Select the statement below that best represents the interpretation.