Television In the Pew Research social media survey, television viewers were asked if it would be very hard to give up watching television. In 2002, 38 % responded yes. In 2018, 31 % said it would be very hard to give up watching television. a. Assume that both polls used samples of 200 people. Do a test to see whether the proportion of people who reported it would be very hard to give up watching television was significantly different in 2002 and 2018 using a 0.05 significance level. b. Repeat the problem, now assuming the sample sizes were both 2000. (The actual sample size in 2018 was 2002.) c. Comment on the effect of different sample sizes on the p-value and on the conclusion.
Television In the Pew Research social media survey, television viewers were asked if it would be very hard to give up watching television. In 2002, 38 % responded yes. In 2018, 31 % said it would be very hard to give up watching television. a. Assume that both polls used samples of 200 people. Do a test to see whether the proportion of people who reported it would be very hard to give up watching television was significantly different in 2002 and 2018 using a 0.05 significance level. b. Repeat the problem, now assuming the sample sizes were both 2000. (The actual sample size in 2018 was 2002.) c. Comment on the effect of different sample sizes on the p-value and on the conclusion.
Solution Summary: The author explains how to determine whether the proportion of people who gave up watching television was significantly different in 2002 and 2018 at 5% significance level.
Television In the Pew Research social media survey, television viewers were asked if it would be very hard to give up watching television. In 2002,
38
%
responded yes. In 2018,
31
%
said it would be very hard to give up watching television.
a. Assume that both polls used samples of 200 people. Do a test to see whether the proportion of people who reported it would be very hard to give up watching television was significantly different in 2002 and 2018 using a
0.05
significance level.
b. Repeat the problem, now assuming the sample sizes were both 2000. (The actual sample size in 2018 was 2002.)
c. Comment on the effect of different sample sizes on the p-value and on the conclusion.
Definition Definition Number of subjects or observations included in a study. A large sample size typically provides more reliable results and better representation of the population. As sample size and width of confidence interval are inversely related, if the sample size is increased, the width of the confidence interval decreases.
During busy political seasons, many opinion polls are conducted. In apresidential race, how do you think the participants in polls are generally selected?Discuss any issues regarding simple random, stratified, systematic, cluster, andconvenience sampling in these polls. What about other types of polls, besides political?
Please could you explain why 0.5 was added to each upper limpit of the intervals.Thanks
28. (a) Under what conditions do we say that two random variables X and Y are
independent?
(b) Demonstrate that if X and Y are independent, then it follows that E(XY) =
E(X)E(Y);
(e) Show by a counter example that the converse of (ii) is not necessarily true.
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