In a recent Super Bowl, a TV network predicted that 59 % of the audience would express an interest in seeing one of its forthcoming television shows. The network ran commercials for these shows during the Super Bowl. The day after the Super Bowl, and Advertising Group sampled 80 people who saw the commercials and found that 48 of them said they would watch one of the television shows. Suppose you are have the following null and alternative hypotheses for a test you are running: Ho: p = 0.59 Ha: p0.59 Calculate the test statistic, rounded to 3 decimal places Z= Submit Question

A report describes a survey of 500 licensed drivers. Each driver in the sample was asked if they would prefer to keep complete control of the car while driving, to use a partially self-driving car that allowed partial driver control, or to turn full control over to a driverless car. Suppose that it is reasonable to regard this sample as a random sample of licensed drivers in the United States, and that you want to use the data from this survey to decide if there is evidence that fewer than half of all licensed drivers in the United States prefer to keep complete control of the car while driving. (d) The actual sample proportion observed in the study was p̂ = 0.44. Based on this sample proportion, is there convincing evidence that fewer than 50% of licensed drivers prefer to keep complete control of the car when driving, or is the sample proportion consistent with what you would expect to see when the null hypothesis is true? Support your answer with a probability calculation. (Round…

A survey was undertaken to compare the educational background of several different generation. One generation of interest was the Millennials (those born after 1980). A sample of 650 Millennials was taken, and each was asked to report the highest level of completed education. It was found that 214 of those surveyed had completed a Bachelor's degree or higher. With 98% confidence, we estimate between ______% and _______% of all Millennials have completed a Bachelor's degree or higher. (After converting to percentages, round the limits of your interval to two decimal places.) A sample of 682 Gen Xers (those born between 1965 & 1980) was taken and they were asked the same question. Of this sample, 169 individuals had completed a Bachelor's degree or highter.  With 98% confidence, we estimate between ______% and ______% of all Gen Xers have completed a Bachelor's degree or highter. (After converting to percentages, round the limits of your interval to two decimal places.)

I personally have used statistics in trying to challenge the reliability of drug testing results. Suppose the chance of a mistake in the taking and processing of a urine sample for a drug test is just 1 in 100. And your client has a "dirty" (i.e., positive) test result. Only a 1 in 100 chance that it could be wrong? Not necessarily. If the vast majority of all tests given-say 99 in 100-are truly clean, then you get one false dirty and one true dirty in every 100 tests, so that half of the dirty tests are false. Define the following events as: TD = TC = D = event that the person tested is actually dirty C = event that the person tested is actually clean (a) Using the information in the quote, find the values of each of the following. event that the test result is dirty event that the test result is clean (i) P(TD|D) (ii) P(TDIC) (iii) P(C) (iv) P(D) X X (b) Use the law of total probability to find P(TD). (c) Use Bayes' rule to evaluate P(C|TD). X

A poll reports that 47% of Canadians download movies on their computers.The poll has a margin of error of 4.8%, 19 times out of 20.Choose the statement that best explains what this means.   Question 6 options:   If you had taken another poll, there is a 95% chance that somewhere between 51.8% and 42.2% of people polled would download movies.   If you had taken another poll, there is a 90% chance that somewhere between 51.8% and 42.2% of people polled would download movies.   If you had taken another poll, there is a 19% chance that somewhere between 49.4% and 44.6% of people polled would download movies.   If you had taken another poll, there is a 95% chance that somewhere between 49.4% and 44.6% of people polled would download movies.

An anger-management course claims that, after completing its seminar, participants will lose their tempers less often. Always a skeptic, you decide to test this claim. A random sample of 12 seminar participants is chosen, and these participants are asked to record the number of times that they lost their tempers in the two weeks prior to the course. After the course is over, the same participants are asked to record the number of times that they lost their tempers in the next two weeks. The following table lists the results of the survey. Using these data, test the claim at the 0.01 level of significance assuming that the population distribution of the paired differences is approximately normal. Let participants before completing the anger-management course be Population 1 and let participants after completing the anger-management course be Population 2. Number of Times Temper Was Lost during a Two-Week Period Before 10 6 8 10 6 3 10 3 8 After 6 7 4 4 8 6 4 9 3 7 Copy Data Step 2 of 3:…

The local Hannaford is tracking mask compliance in their stores. In mid-March they found that only 40% of customers were wearing masks. They want to know if that percentage increased with the government mandates in place. Select the correct symbols to write the alternate hypothesis for this hypothesis test. Ha:

A pharmaceutical company has developed a new drug to help relieve acid reflux. However, as with all new drugs, there are concerns about adverse side effects. To check this, the company administers the drug to n randomly chosen people with acid reflux, and it finds that k of them experience adverse side effects. The company hopes to reject the null hypothesis that the proportion of drug-takers who experience adverse side effects is at least 0.5%. Which of the following is true?   a. If n=1,250 and k=1, this is enough evidence to reject the null at the 1% level.     b. If n=1,000 and k=3, this is enough evidence to reject the null at the 10% level.     c. If n=4,000 and k=9, this is enough evidence to reject the null at the 1% level.     d. If n=1,600 and k=4, this is enough evidence to reject the null at the 5% level.

A political scientist claims that 38% of first-year college students characterize themselves as being “moderate” or “middle of the road” as far as their political affiliation is concerned.   Believing this claimed value is too high, you survey a random sample of 400 first-year college students and find that 120 characterize themselves as being “moderate” or “middle of the road.”    Based on this information, what will the test statistic be? Choose the answer below that is closest to what you calculate, and try not to do a lot of rounding until you get to the very end of your calculations.   1. -0.3 2. -1.2 3. -2.6 4. -3.3 5. None of the other answer options are correct because the test statistic should be positive, not negative.

Males and females were asked what they would do if they received a $100 bill in the mail that was addressed to their neighbor, but had been incorrectly delivered to them. Of the 70 males sampled, 55 said yes they would return it to their neighbor. Of the 130 females sampled, 120 said yes. The overall question is: Is this sufficient evidence to say that the two true proportions are different? Assume that the p-value turns out to be .027 (again not the correct p-value for this situation but use it to answer this question). What is your decision on this hypothesis test using a 5% level of significance? O Fail to reject the null hypothesis Reject the null hypothesis