Summary statistics for 10 drivers' car insurance premiums quoted by a local agent and an online company are shown in the table to the right. The accompanying table has displays for each company's quotes and for the difference.
Variable Count Mean
StdDev
Local 10 795.3 226.994
Online 10 732.7 303.131
Price Diff 10 62.6 173.762
Test an appropriate hypothesis to see if there is evidence that
drivers might save money by switching to the online company.
Identify the null and alternative hypotheses.
Calculate the test statistic.
Calculate the P-value.
State the conclusion. Assume alpha equals0.05.
Local Online PriceDiff
557 377 180
861 566 295
461 486 -25
1221 1133 88
600 638 -38
1013 1242 -229
776 450 326
843 802 41
913 1022 -109
708 611 97
Here we need to compare more than three population means so one way ANOVA will be used.
Hypotheses are:
H0: All companies have same average cost.
Ha: Not all companies have same average cost.
Hypotheses in symbol:
Following is the output of one way ANOVA:
The test statistics is
F = 28.51
The p-value is: 0.0000
Since p-value is less than 0.05 so we reject the null hypothesis. That is there is evidence to conclude that drivers might save money by switching to the online company.
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