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 | 108 | 114 | 127 | 110 | 101 | 77 | 99 | 96 | 82 | 89 |
Test B | 109 | 115 | 127 | 115 | 105 | 75 | 101 | 100 | 85 | 91 |
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. Matched Pairs B. Two Sample z C. Two Sample t
(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. No B. Yes 2.
Construct a 99 % confidence interval for the mean of the differences. Again, use (Test A - Test B). ____ <?< ____
a) Matched pair t test because conducted tests on same people in day1 and day2
Hypothesis:
Ho: μD ≥ 0
Ha: μD < 0
Test:
Test A | Test B | A-B | ||
108 | 109 | -1 | ||
114 | 115 | -1 | ||
127 | 127 | 0 | ||
110 | 115 | -5 | ||
101 | 105 | -4 | ||
77 | 75 | 2 | ||
99 | 101 | -2 | ||
96 | 100 | -4 | ||
82 | 85 | -3 | ||
89 | 91 | -2 | ||
Mean | 100.3 | 102.3 | -2 | |
Sd | 15.20270444 | 15.50662941 | 2.108185107 | |
n | 10 | 10 | 10 | |
b) t stat | -3 | Mean/(Sd/SQRT(n)) | ||
c) t critical | -2.82143793 | T.INV(0.01,9) | Left tailed | |
P value | 0.007478182 | T.DIST(ts,df,TRUE) | ||
t stat | < | t critical | Reject H0 | |
P value | < | 0.01 | Reject H0 |
d) Conclusion:
Yes, there is sufficient evidence to support the claim that people do better on the second test
e) 99% CI:
99% CI | tc | 3.249835542 | T.INV.2T(0.01,9) | Two tailed |
Lower | -4.16655703 | Mean+tc*Sd/SQRT(n) | ||
Upper | 0.166557028 | Mean-tc*Sd/SQRT(n) |
CI = (-4.1665, 0.1666)
Get Answers For Free
Most questions answered within 1 hours.