In 2007, a university study was published investigating the crash risk of alcohol impaired driving. Data from 2871 crashes were used to measure the association of a person's blood alcohol level (BAC) with the risk of being in an accident. The table below shows the results from the study the relative risk is a measure of how many times more likely a person is to crash. So, for example, a person with a BAC of 0.09 is 3.54 times as likely to crash as a person who has not been drinking alcohol.  BAC  0  .01  .03  .05  .07  .09  .11  .13  .15  .17  .19  .21  risk  1  1.03  1.06  1.38  2.09  3.54  6.41  12.6  22.1  39.05  65.32  99.78  c. What BAC would make you 50 times more likely to have an accident than someone who has not been drinking?

Write an example of a research study that would be most appropriate for a within subjects ANOVA

You may need to use the appropriate appendix table or technology to answer this question. In a study entitled How Undergraduate Students Use Credit Cards, it was reported that undergraduate students have a mean credit card balance of $3,173. This figure was an all-time high and had increased 44% over the previous five years. Assume that a current study is being conducted to determine if it can be concluded that the mean credit card balance for undergraduate students has continued to increase compared to the original report. Based on previous studies, use a population standard deviation  ? = $1,000. (a) State the null and alternative hypotheses. H0: ? < 3,173 Ha: ? ≥ 3,173 H0: ? = 3,173 Ha: ? ≠ 3,173      H0: ? > 3,173 Ha: ? ≤ 3,173 H0: ? ≥ 3,173 Ha: ? < 3,173 H0: ? ≤ 3,173 Ha: ? > 3,173 (b) What is the test statistic for a sample of 170 undergraduate students with a sample mean credit card balance of $3,305? (Round your answer to two decimal places.)   What is…

A researcher investigates the relationship between study habits and college achievement.  College seniors were administered the Inventory of Study Habits Survey (X) to measure study habits and the College BASE (Y) was used to measure overall college achievement.  The correlation between the study habits and achievement was found to be 0.784.  The researcher concluded that students with higher scores on the Study Habits Survey will always have higher college achievement scores on the College BASE.  Is the researcher's conclusion correct?  Why or why not?

A survey of 200 randomly selected high school students determined that 14 play organized sports. (a) What is the probability that a randomly selected high school student plays organized sports? (b) Interpret this probability. ... (a) The probability that a randomly selected high school student plays organized sports is (Round to the nearest thousandth as needed.) (b) Choose the correct answer below. (Type a whole number.) OA. If 1,000 high school students were sampled, it would be expected that exactly of them play organized sports. OB. If 1,000 high school students were sampled, it would be expected that about of them play organized sports.

In a data set with 25 scores, if the value 16 occurs 12 times, what is its relative frequency?

An observational study of teams fishing for the red spiny lobster in a certain body of water was conducted and the results published in a science magazine. One of the variables of interest was the average distance separating traps - called "trap spacing" - deployed by the same team of fishermen. Trap spacing measurements (in meters) for a sample of seven teams of fishermen are shown in the accompanying table. Of interest is the mean trap spacing for the population of red spiny lobster fishermen fishing in this body of water. Complete parts a through f below. E Click the icon to view the trap spacing data. Trap Spacing Data a. Identify the target parameter for this study. The target parameter for this study is 93 101 107 95 81 68 84 b. Compute a point estimate of the target parameter. (Round to two decimal places as needed.) Print Done c. What is the problem with using the normal (z) statistic to finda confidence interval for the target parameter? O A. The point estimate is too large to…

Check My Work (5 remaining) Each year, over 2 million people in the United States become infected with bacteria that are resistant to antibiotics. In particular, the Centers of Disease Control and Prevention has launched studies of drug-resistant gonorrhea (CDC.gov website). Of 142 cases tested in Alabama, 9 were found to be drug-resistant. Of 268 cases tested in Texas, 5 were found to be drug-resistant. Do these data suggest a statistically significant difference between the proportions of drug- resistant cases in the two states? Use a 0.02 level of significance. What is the p-value, and what is your conclusion? Test statistic = (to 2 decimals) p-value = (to 4 decimals) Conclusion: Reject the null hypothesis Choose the correct option. There is a significant difference in drug resistance between the two states. Alabama has the higher drug resistance rate. True