In: Statistics and Probability
Randomly Chosen Cash Withdrawals ($) |
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Friday |
Monday |
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250 |
10 |
10 |
40 |
30 |
10 |
20 |
10 |
30 |
100 |
70 |
370 |
110 |
20 |
10 |
20 |
20 |
10 |
40 |
20 |
40 |
30 |
50 |
30 |
70 |
10 |
10 |
200 |
20 |
40 |
20 |
20 |
400 |
20 |
30 |
20 |
10 |
20 |
10 |
10 |
20 |
100 |
50 |
20 |
10 |
30 |
40 |
20 |
100 |
20 |
20 |
50 |
10 |
20 |
20 |
60 |
70 |
60 |
10 |
20 |
(a)
(b) Minitab output:
Test and CI for Two Variances: Firday, Monday
Method
Null hypothesis
Sigma(Firday) / Sigma(Monday) = 1
Alternative hypothesis Sigma(Firday) / Sigma(Monday) not = 1
Significance level Alpha = 0.05
Statistics
Variable N StDev Variance
Firday 30 81.684 6672.299
Monday 30 71.631 5131.034
Ratio of standard deviations = 1.140
Ratio of variances = 1.300
95% Confidence Intervals
CI for
Distribution CI for
StDev Variance
of
Data
Ratio
Ratio
Normal
(0.787, 1.653) (0.619, 2.732)
Continuous (0.213, 4.795) (0.045, 22.994)
Tests
Test
Method
DF1 DF2 Statistic P-Value
F Test
(normal)
29 29
1.30
0.484
Levene's Test (any continuous) 1
58 0.04
0.847
(c)
(d)
Minitab output:
Two-Sample T-Test and CI: Firday, Monday
Two-sample T for Firday vs Monday
SE
N Mean StDev
Mean
Firday 30 50.3 81.7 15
Monday 30 50.0 71.6 13
Difference = mu (Firday) - mu (Monday)
Estimate for difference: 0.3
95% CI for difference: (-39.4, 40.0)
T-Test of difference = 0 (vs not =): T-Value = 0.02 P-Value = 0.987
DF = 58
Both use Pooled StDev = 76.8223