Ten randomly selected people took an IQ test A, and next day they took a very similar IQ test B. Their scores are shown in the table below.
Person | A | B | C | D | E | F | G | H | I | J |
Test A | 115 | 105 | 80 | 90 | 125 | 81 | 104 | 99 | 108 | 94 |
Test B | 115 | 103 | 80 | 91 | 124 | 81 | 107 | 99 | 106 | 92 |
1. Consider (Test A - Test B). Use a 0.01 significance 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 test?
A. Yes
B. No
2. Construct a 99% confidence interval for the mean of the
differences. Again, use (Test A - Test B).
<?<
a) C. Matched Pairs
b)test statistic =0.605 ( please try 0.604 if this comes wrong)
(c) The critical value is= -2.821
d)
No
2)
for 99% CI; and 9 degree of freedom, value of t= | 3.250 | ||
therefore confidence interval= | sample mean -/+ t*std error | ||
margin of errror =t*std error= | 1.610 | ||
lower confidence limit = | -1.310 | ||
upper confidence limit = | 1.910 |
99% confidence interval for the mean of the differences =-1.310 ; 1.910
( please try -1.314 ; 1.914 if abve comes wrong and revert)
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