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Press the STAT key.
Press the ENTER key to get to the Stat Editor.
Enter the Method I data values into L1.
Enter the Method II data values into L2.
Enter the Method III data values into L3.
Press the STAT key.
Press the ► key twice to highlight TESTS.
Press the ALPHA key and then the COS key to
get to ANOVA.
Type in L1, L2, L3).
Press the ENTER key.
The One-way ANOVA output shows the:
test statistic: F = 1.092717465
p-value: P=.3664641882
and other information used for analysis that is not needed
at this time.
The p-value is 0.366. Since this is greater than the significance level of 1%, we fail to reject the
null hypothesis. There is not evidence from the data to show that the different teaching methods
have significantly different average results.
Example: Bank Tellers
From time to time, unknown to its employees, the research department at Post Bank observes
various employees for their work productivity. Recently this department wanted to check
whether the four tellers at a branch of this bank serve, on average, the same number of customers
per hour. The research manager observed each of the four tellers for a certain number of hours.
The following table gives the number of customers served by the four tellers during each of
the observed hours.
75