Question

In: Statistics and Probability

City1 City 2 City 3 City 4 789 748 1831 1756 2051 1501 740 2125 765...

City1 City 2 City 3 City 4
789 748 1831 1756
2051 1501 740 2125
765 1886 1554 1995
1645 1593 137 1526
1266 1474 2276 1746
2138 1913 2144 1616
1487 1218 1053 1958
1622 1006 1120 1675
1169 343 1838 1885
2215 1494 1735 2204
167 580 1326 2409
2557 1320 1790 1338
634 1784 32 2076
1326 1044 1455 2375
1790 890 1913 1125
32 1708 1218 1326
1455 1913 1006 1790
1218 343 32
1006 1494 1455
343 580

(1) Using the above table, data set has information on the account balances of customers at a bank’s four locations. Using that data set and an ? of 0.05, test the null hypothesis that the mean account balances are equal in the four towns using a one-way ANOVA in Excel?. Please provide a picture of the excel spreadsheet with the ANOVA Test results.

(2) Do you reject the null hypothesis or not? Indicate on which part of the Excel output you base your decision.

(3) Assuming that an acquaintance of yours has never heard of ANOVA, explain to him what the decision in part (b), i.e., “rejecting H0” or “not rejecting H0” means in this context at a level that can be understood by a high school senior.

Solutions

Expert Solution

1) One-way ANOVA in excel

Null and Alternative Hypothesis:

2) At =0.05, and df1=3 and df2 =72, Critical Value of Fcrit = 2.7318

And Test statistic F = 2.3527

As F < Fc, we fail to reject the null Hypothesis.

Also p-value =0.079 > =0.05, so we fail to reject the null Hypothesis.

3) Rejecting H0 means: Not all the mean account balance in four town are equal. As all mean account balance are not equal. So, we reject the null Hypothesis that they are equal in the four towns.

Not Rejecting H0 means: That we do not have enough evidence to claim that mean account balance in the four towns are not equal. So, we fail to reject that the mean account balance in the four towns is equal.


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