Chapter 7 TechnologyName : <enter name here>

Where there are multiple responses available, highlight the correct response.

  1. Use an α = 0.10 significance level to test the claim that over eight in ten U.S. adults are overweight. According to The Harris Poll® #23, March 9, 2006, 83% of 1016 U.S. adults were overweight. You can read more from this poll at
  1. Write the original claim symbolically.
  1. The original claim is the ( null / alternative ) hypothesis.
  1. Write the null and alternative hypotheses.
  1. This is a ( left / right / two ) tail test.
  1. What is (are) the critical value(s)?
  1. What is the test statistic?
  1. What is the probability value?
  1. The test statistic ( does / does not ) fall in the critical region.
  1. The probability value is ( less / greater ) than the significance level.
  1. The decision is to ( reject / retain ) the null hypothesis.
  1. There ( is / is not ) enough evidence to ( reject / support ) the claim that over eight in ten U.S. adults are overweight.
  1. What is the p-value if you change the alternative hypothesis to ?
  1. There ( is / is not ) enough evidence to ( reject / support ) the claim that eight in ten U.S. adults are overweight.

  1. Test the claim that more than 20 new computer viruses are reported each day. Use Minitab to generate 16 random days between January 1, 2005, and yesterday (the longer you wait to get started, the more days you'll have to pick from). Then visit the Virus List at and click on the days that were selected. For each selected date, count the number of viruses that were reported that day.
  1. Record the selected days and number of viruses for that day in the table.

Date / # / Date / # / Date / # / Date / #
  1. Write the original claim symbolically.
  1. The original claim is the ( null / alternative ) hypothesis.
  1. Write the null and alternative hypotheses.
  1. This is a ( left / right / two ) tail test.
  1. What is (are) the critical value(s)?
  1. What is the test statistic?
  1. What is the probability value?
  1. The test statistic ( does / does not ) fall in the critical region.
  1. The probability value is ( less / greater ) than the significance level.
  1. The decision is to ( reject / retain ) the null hypothesis.
  1. There ( is / is not ) enough evidence to ( reject / support ) the claim that there are more than 20 new viruses reported each day.

  1. The Harris Poll® #20, February 24, 2006, discusses how often U.S. adults watched broadcast television news several times a week. Read the article and use "Table 2: Media Usage – By Age" and the Methodology section to test the claim that Echo Boomers are less likely than Gen Xers to "watch network broadcast or cable news" daily or several times a week. The article can be found online at
  1. Write the original claim symbolically (use GX and EB for subscripts).
  1. The original claim is the ( null / alternative ) hypothesis.
  1. Write the null and alternative hypotheses.
  1. This is a ( left / right / two ) tail test.
  1. What is (are) the critical value(s)?
  1. What is the test statistic?
  1. What is the probability value?
  1. The test statistic ( does / does not ) fall in the critical region.
  1. The probability value is ( less / greater ) than the significance level.
  1. The decision is to ( reject / retain ) the null hypothesis.
  1. There ( is / is not ) enough evidence to ( reject / support ) the claim that Echo Boomers are less likely than Gen Xers to watch network broadcast or cable news daily or several times a week.
  1. What is the p-value if you change the alternative hypothesis to ?
  1. There ( is / is not ) enough evidence to ( reject / support ) the claim that Echo Boomers are as likely as Gen Xers to watch network broadcast or cable news daily or several times a week.