0 Question 1 B 0.5/1 pt '0 3 8 97 G Details For each scenario listed on the left, determine whether the scenario represents an Independent Samples or Matched pairs situation by placing the appropriate letter in the box provided. - v Comparing pain levels of a group receiving a placebo to a group receiving a medicine Comparing pain levels before and after treatment with magnetic therapy -V -V Comparing pre-test scores before training to post-test scores - v Comparing the number of speeding tickets received by men to the number received by Women a. Independent Samples b. Matched Pairs Submit Question 0 Question 2 B 0/1 pt '0 3 23 99 G Details A survey of 48 people was conducted to compare their self-reported height to their actual height. The difference between reported height and actual height was calculated (D = Reported - Actual). You're testing the claim that the reported heights are greater than their actual heights. From the sample, the mean difference was 0.35, with a standard deviation of 0.6. Calculate the test statistic, rounded to two decimal places. m :J Submit Question You wish to test the following claim (Ha) at a significance level of a = 0.05. For the context of this problem, :1 = classical silence where the first data set represents the number of seconds it takes to complete a task when classical music is being played and the second data set represents a number of seconds it takes to complete the same task in silence by the same person. Ho:pd=0 Huid 0 You believe the population of difference scores is normally distributed, but you do not know the standard deviatio_n. You obtain pre-test and post-test samples for n = 38 subjects. The average difference (post - pre) is d = 15.9 with a standard deviation of the differences of sd = 30.7. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = C] What is the p-value for this sample? (Report answer accurate to four decimal places.) The p-value is... 0 less than (or equal to) a O greater than a This test statistic leads to a decision to. .. O reject the null O accept the null O fail to reject the null As such, the final conclusion is that... Q There is sufficient evidence to warrant rejection of the claim that the mean difference of post-test from pre-test is greater than 0. 0 There is not sufficient evidence to warrant rejection of the claim that the mean difference of post- test from pre-test is greater than 0. O The sample data support the claim that the mean difference of post-test from pre-test is greater than 0. Q There is not sufficient sample evidence to support the claim that the mean difference of post-test from pre-test is greater than 0. You wish to test the following claim (Ha) at a significance level of a = 0.002. For the context of this problem, d 2 post p're where the first data set represents a pre-test and the second data set represents a post-test. Hald =0 Ha:pd $50 You believe the population of difference scores is normally distributed, but you do not know the standard deviatio_n. You obtain pre-test and post-test samples for n = 346 subjects. The average difference (post - pre) is d = 6.2 with a standard deviation of the differences of so: = 41.5. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = C] What is the p-value for this sample? (Report answer accurate to four decimal places.) The p-value is... 0 less than (or equal to) a O greater than oz This test statistic leads to a decision to... O reject the null O accept the null O fail to reject the null As such, the final conclusion is that... 0 There is sufficient evidence to warrant rejection of the claim that the mean difference of post-test from pre-test is not equal to 0. 0 There is not sufficient evidence to warrant rejection of the claim that the mean difference of post- test from pre-test is not equal to 0. O The sample data support the claim that the mean difference of post-test from pre-test is not equal to 0. 0 There is not sufficient sample evidence to support the claim that the mean difference of post-test from pre-test is not equal to 0. You wish to test the following claim (11.1) at a significance level of a = 0.05. For the context of this problem, (I = new old where the first data set represents the rating for an old product and the second data set represents the scores for the new product. Hoipd =0 Hatd