A common complaint from older generations is that teenagers spend too much time on their phones, but is this belief held similarly among older men and women? In a random sample of 369 men and 366 women, 164 men agreed with the statement that "Youths today spend too much time using their phones," whereas 168 women agreed with that statement. a) What type of test would be most appropriate to investigate this data? elec v ---Select--- v b) Given a standard error of 0.037, find the test statistic for this test. Any order is acceptable. (3 decimal places) :] c) Given a p-value of 0.693, what would you conclude at a = 0.01? Q There is enough evidence to say there is a difference in the two groups since the p-value is less than 0.01. 0 There is enough evidence to say there is a difference in the two groups since the sample values are different. 0 There is enough evidence to say there is a difference in the two groups since the pvalue is greater than 0.01. 0 There is not enough evidence to say there is a difference in the two groups since the p-value is greater than or equal to 0.01. 0 There is not enough evidence to say there is a difference in the two groups since both sample values are bigger than 0.01. A common complaint from older generations is that teenagers spend too much time on their phones, but is this belief held similarly among older men and women? In a random sample of 369 men and 366 women, 164 men agreed with the statement that \"Youths today spend too much time using their phones," whereas 168 women agreed with that statement. a) What type of test would be most appropriate to investigate this data? elec --- v r of 0.037, find the test statistic for this test. Any order is acceptable. (3 decimal places) :] J Select Two-tailed One-tailed b) Giv c) Given a p-value of 0.693, what would you conclude at a = 0.01? Q There is enough evidence to say there is a difference in the two groups since the p-value is less than 0.01. Q There is enough evidence to say there is a difference in the two groups since the sample values are different. 0 There is enough evidence to say there is a difference in the two groups since the p-value is greater than 0.01. Q There is not enough evidence to say there is a difference in the two groups since the p-value is greater than or equal to 0.01. Q There is not enough evidence to say there is a difference in the two groups since both sample values are bigger than 0.01. A common complaint from older generations is that teenagers spend too much time on their phones, but is this belief held similarly among older men and women? In a random sample of 369 men and 366 women, 164 men agreed with the statement that "Youths today spend too much time using their phones," whereas 168 women agreed with that statement. a) What type of test would be most appropriate to investigate this data? \\l - Select--- b) Given a standard paired He\" for this test. Any order is acceptable. (3 decimal places) :] two~samp|e proportion test 5) Given a p-value . Chi-square Goodness of Fit test a = (101? 0 There is enou- two-sample t~test ce in the two groups since the p-value is less than 0.01. 0 There is enough evidence to say there is a difference in the two groups since the sample values are different. 0 There is enough evidence to say there is a difference in the two groups since the p-value is greater than 0.01. 0 There is not enough evidence to say there is a difference in the two groups since the p-value is greater than or equal to 0.01. 0 There is not enough evidence to say there is a difference in the two groups since both sample values are bigger than 0.01