Ten randomly selected people took an 1Q test A, and next day they took a very similar IQ test B. Their scores are shown in the table below. Person A BCDEFGHIJ Test A 76 118 112 10392 99 82 126 06 104...


Ten randomly selected people took an 1Q test A, and next day they took a very similar IQ test B. Their scores are shown in the table below.<br>Person A BCDEFGHIJ<br>Test A 76 118 112 10392 99 82 126 06 104<br>Test B 75 119 112 107 95 99 85 127 98/109<br>1. Consider (Test A- Test B). Use a 0.01 signitficance level to test the claim that people do better on the second test than they do on the first. (Note: You<br>may wish to use software)<br>(a) What test method should be used?<br>A. Two Sample z<br>B. Two Sample t<br>C. Matched Pairs<br>(b) The test statistic is<br>(c) The critical value is<br>(d) is there sufficient evidence to support the claim that people do better on the second tent?<br>A. Yes<br>OB. No<br>2. Construct a 99% confidence interval for the mean of the differences. Again, use (Test A- Test B).<br>

Extracted text: Ten randomly selected people took an 1Q test A, and next day they took a very similar IQ test B. Their scores are shown in the table below. Person A BCDEFGHIJ Test A 76 118 112 10392 99 82 126 06 104 Test B 75 119 112 107 95 99 85 127 98/109 1. Consider (Test A- Test B). Use a 0.01 signitficance level to test the claim that people do better on the second test than they do on the first. (Note: You may wish to use software) (a) What test method should be used? A. Two Sample z B. Two Sample t C. Matched Pairs (b) The test statistic is (c) The critical value is (d) is there sufficient evidence to support the claim that people do better on the second tent? A. Yes OB. No 2. Construct a 99% confidence interval for the mean of the differences. Again, use (Test A- Test B).

Jun 03, 2022
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