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8.3 #6

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riva
6 diapositives · 306 Views · Aug 13, 2014

8.3 #6. In a survey, 1864 our of 2246 randomly selected adults in the US said that texting while driving should be illegal. Consider a hypothesis test that uses a .05 significance level to test the claim that more than 80% of adults believe that texting while driving should be illegal. 8.3 #10.

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8.3 #6
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  1. 8.3 #6 In a survey, 1864 our of 2246 randomly selected adults in the US said that texting while driving should be illegal. Consider a hypothesis test that uses a .05 significance level to test the claim that more than 80% of adults believe that texting while driving should be illegal.

  2. 8.3 #10 In a presidential election 308 out of 611 voters surveyed said that they voted for the candidate who won. Use a .01 significance level to test the claim that among all voters, the percentage who believe that they voted for the winning candidate is equal to 43% which is the actual percentage of votes for the winning candidate. What does the result suggenst about voter perceptions?

  3. Section 8.5 #12 Find and interpret the p-value for a left tailed test with n=11 and test statistic t=-3.518 #10 Find and interpret the p-value for a two tailed test with n=15 and test statistic t=1.495

  4. 8.5#19 Researchers collected a simple random sample of the times that 81 college students required to earn their bachelor’s degrees. The sample has a mean of 4.8 yrs. and a standard deviation of 2.2 years. Use a .05 significance level to test the claim that the mean time for all college students is greater than 4.5 years.

  5. 8.5 #27 Tests were conducted with crashes of new cars traveling at 6 mph. The total cost of the damage was found. Results are listed for a SRS of tested cars. Use a .05 significance level to test the claim that when tested under the same standard conditions, the damage costs for the population of cars has a mean of $5,000. The costs appear to be normally distributed. $7448 $4911 $9051 $6374 $4277

  6. 8.5 #20 A SRS of 40 recorded speeds obtained from cars traveling in a 65 mph speed zone had a mean of 68.4 mph with a standard deviation of 5.7 mph. Use a .05 significance level to test the claim that the mean speed of all cars is greater than the posted speed limit of 65 mph.