MA 105 Population Variance of Driving Distance for Titleist Gold Balls Questions

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Chapter 11.2 Problem Post Select 1 of the 2 questions to complete. Post the entire problem as it is given, all of your work, and the answer. The problem section and number should be the title of your post. You will likely find using Excel to be more effective than just text. Hypothesis Tests for Two Population Means Perform each hypothesis test using the method of your choice or the one assigned by your instructor. For each exercise, complete the following steps. Assume that both population distributions are approximately normal in each scenario. a. State the null and alternative hypotheses. b. Determine which distribution to use for the test statistic, and state the level of significance. c. Calculate the test statistic. d. Draw a conclusion and interpret the decision. Page 659 Question 5 A manufacturer fills soda bottles. Periodically the company tests to see if there is a difference between the mean amounts of soda put in bottles of regular cola and diet cola. A random sample of 14 bottles of regular cola has a mean of 501.6 mL of soda with a standard deviation of 3.9 mL. A random sample of 16 bottles of diet cola has a mean of 498.9 mL of soda with a standard deviation of 5.3 mL. Test the claim that there is a difference between the mean fill levels for the two types of soda using 0.01 level of significance. Assume that the population variances are not equal since different machines are used to fill bottles of regular cola and diet cola. Page 659 Question 6 A professor is concerned that the two sections of college algebra that he teaches are not performing at the same level. To test his claim, he looks at the mean exam score for a random sample of students from each of his classes. In Class 1, the mean exam score for 12 students is 78.7 with a standard deviation of 6.5. In Class 2, the mean exam score for 15 students is 81.1 with a standard deviation of 7.4. Test the professor’s claim at the 0.05 level of significance. Assume that the population variances are equal.
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A manufacturer fills soda bottles. Periodically the company tests to see if there is a difference
between the mean amounts of soda put in bottles of regular cola and diet cola. A random sample
of 14 bottles of regular cola has a mean of 501.6 mL of soda with a standard deviation of 3.9 mL.
A random sample of 16 bottles of diet cola has a mean ...


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