Mr. Selig is also interested in the bank’s ATMs. Is there a difference in ATM use among the branches? Also, do customers who have debit cards tend to use ATMs differently from those who do not have debit cards? Is there a difference in ATM use by those with checking accounts that pay interest versus those that do not? (show formulas, calculations) Fourth Paragraph:Part 1Anaxa: Single FactorSUMMARYGroupsCountSum AverageVarianceATM 1161509.37511.85ATM 21719211.29412 12.09559ATM 31414010 17.38462ATM 41313610.46154 38.26923ANOVASource ofVariationSSdfMSFP-valueF critBetween Groups 32.08982310.696610.566970.639069 2.769431Within Groups1056.515618.86625Total1088.659Part 2t-Test: Two-Sample Assuming Equal VariancesDebit 0Debit 1Мean10.35294 10.23077Variance18.65954 18.90462Observations3426Pooled Variance18.76517Hypothesized MeanDifferencedf58t Stat0.108254P(T<=t) one-tail0.457084t Critical one-tail1.671553P(T<=t) two-tailt Critical two-tail0.9141682.001717

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Mr. Selig is also interested in the bank’s ATMs. Is there a difference in ATM use among the branches? Also, do customers who have debit cards tend to use ATMs differently from those who do not have debit cards? Is there a difference in ATM use by those with checking accounts that pay interest versus those that do not? (show formulas, calculations)

Fourth Paragraph:
Part 1
Anaxa: Single Factor
SUMMARY
Groups
Count
Sum Average
Variance
ATM 1
16
150
9.375
11.85
ATM 2
17
192
11.29412 12.09559
ATM 3
14
140
10 17.38462
ATM 4
13
136
10.46154 38.26923
ANOVA
Source of
Variation
SS
df
MS
F
P-value
F crit
Between Groups 32.08982
3
10.69661
0.56697
0.639069 2.769431
Within Groups
1056.51
56
18.86625
Total
1088.6
59
Part 2
t-Test: Two-Sample Assuming Equal Variances
Debit 0
Debit 1
Мean
10.35294 10.23077
Variance
18.65954 18.90462
Observations
34
26
Pooled Variance
18.76517
Hypothesized Mean
Difference
df
58
t Stat
0.108254
P(T<=t) one-tail
0.457084
t Critical one-tail
1.671553
P(T<=t) two-tail
t Critical two-tail
0.914168
2.001717

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