Suppose that a car company wants to determine the importance to consumers for service like OnStar, which offers drivers a wifi connection (among other things). Small/preliminary studies have concluded that about 59% of people would like an wifi connection in their car. (a) Use the given preliminary estimate to determine the sample size required to estimate the proportion of adult Americans who would like wifi capabilities in their car to within .05 with 95% confidence. (b) How would the interval be affected if 99% confidence interval was desired? Select an answer (c) Use the given preliminary estimate to determine the sample size required to estimate the proportion of adult Americans who would like wifi capabilities in their car to within .05 with 99% confidence. Question Help: Message instructor D Post to forum Submit Question Jump to Answer

In 2010, an online security firm estimated that 61% of computer users don't change their passwords very often. Because this estimate may be outdated, suppose that you want to carry out a new survey to estimate the proportion of students at your school who do not change their password. You would like to determine the sample size required to estimate this proportion to within a margin of error of 0.05 with 95% confidence.   Using 0.61 as a preliminary estimate, what is the required sample size if you want to estimate this proportion with a margin of error of 0.05? (Round your answer up to the nearest whole number.)   Calculate the required sample size using the conservative value of 0.5. (Round your answer up to the nearest whole number.)   What sample size would you recommend? Justify your answer.

The following contingency table records some information about a sample of visitors to Old Fort William over a long weekend in August. Local Other Canadian Non-Canadian Total Young Child 40 75 35 150 Teen 25 50 20 95 Young Adult Mid Aged Adult 140 85 125 200 465 100 195 380 Senior Adult 120 165 125 410 Total 410 685 405 1500 Given the above information and choosing a level of significance of a = 0.01; you should reject the null hypothesis that there is at least one difference in origins among age groups that is statistically significant. True False

What is the approximate sample size required to estimate the percentage of Americans who have earned a college degree to within 2%, with 95% confidence?

In a certain school district, it was observed that 29% of the students in the element schools were classified as only children (no siblings). However, in the special program for talented and gifted children, 130 out of 373 students are only children. The school district administrators want to know if the proportion of only children in the special program is significantly different from the proportion for the school district. Test at the a = 0.05 level of significance. What is the hypothesized population proportion for this test? P =0.34 (Report answer as a decimal accurate to 2 decimal places. Do not report using the percent symbol) Based on the statement of this problem, how many tails would this hypothesis test have? one-tailed test two-tailed test Choose the correct pair of hypotheses for this situation: (C) (В) (A) Ho: p 0.29 Ho:p 0.29 Ho:p 0.29 H p 0.349 Ha p (F) (E) 0.349 (A) (B) (C) (D) (E) (F) N a e W

A physical therapist wants to determine the difference in the proportion of men and women who participate in regular sustained physical activity. What sample size should be obtained if he wishes the estimate to be within five percentage points with 99% confidence, assuming that (a) he uses the estimates of 21.6% male and 18.7% female from a previous year? (b) he does not use any prior estimates?

A national research group reported that 36% of 18-24 year olds watch a cable news channel regularly.  The director of media relations at a large university wanted to know what proportion of students at her university who watch a cable news channel regularly. If it is less than 36%, then she will unsubscribe to the news channels.  She sampled 200 random students and found that 63 watched cable news regularly.     Should she conclude that proportion of students at her university who watch cable news regularly is less than 36% at the 8% significance level?    In the context of this problem and your conclusion, what type of error is possible?    In the context of this problem, what would the error be?    In the context of this problem, what would be a possible consequence of this error?