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Stats Study Sheet

Decent Essays

1. Assume 20% of all email is spam. A large Internet provider plans on conducting a survey of 900 emails to see what percentage are spam.
a. What is the probability they will get a proportion greater than 0.1836?

b. If they get a sample proportion over 24% they are going to shut down their email server. What is the probability this will happen?

2. A survey is done to estimate the proportion of U.S. adults who think that cell phone use while driving should be illegal. In the survey, 54% of a randomly selected sample of 1025 individuals said that cell phone use while driving should be illegal.
a. What is the 90% confidence interval for the proportion of adults who think cell phone use should be illegal?

1. A sample of …show more content…

7. The center for disease control wants to know the average life span of an ebola virus. Studies of similar types of viruses suggest the standard deviation will be 2.55 days (population parameter: use z-table), but they want a 99% confidence interval for the true average lifespan, and they want that confidence interval to have a width of 0.5 days. How many ebola viruses do they need to sample?

• We can use z-table instead of t-table because the standard deviation comes from the population.

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• We can use z-table instead of t-table because the standard deviation comes from the population.
9. Example 11.12 (p. 428) studies hangover symptoms in college students (Slutske et al., 2003). The students answered questions about alcohol use and hangovers, including a count of how many out of a list of 13 possible hangover symptoms that they had experienced in the past year. For the 470 men, the mean number of symptoms was 5.3; for the 755 women, it was 5.1. The standard deviation was 3.4 for each of the two samples.
a. Find a 95% confidence interval for the difference in population means.

9. Example 11.12 (p. 428) studies hangover symptoms in college students (Slutske et al., 2003). The students answered questions about alcohol use and hangovers, including a count of how many out of a list of 13 possible hangover symptoms that they had experienced in the past year. For the 470 men, the mean number of symptoms was 5.3; for the 755

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