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Blackline Masters/STATISTICS USING THE SHARP EL-9600 87
Copyright © 1998, Sharp Electronics Corporation. Permission is granted to photocopy for educational use only.
Steps for performing a two-small-sample hypothesis test for
the population means
1. Access the data entry screen and enter the additional data for L2.
(Use the Bears data from 10.1):
L2 Packers
8558888 4 5
410649991113
2. Check the data you have entered and correct any errors you may find.
The data shown above reflects the number of wins for the Chicago Bears
and Green Bay Packers in each season since 1978. Test the alternate
hypothesis that "da Bears" are a better (on the average win more games)
football team than the Packers during these recent years.
3. Set up the statistical test by pressing 2ndF QUIT STAT , touching
E TEST, and double touching 04 Ttest2samp.
4. Set the alternate hypothesis to µ1 > µ2 by pressing ENTER .
Pool the standard deviations in the calculation by pressing ▼ ENTER .
Set the List1 to L1 by pressing ▼ 2ndF L1 ENTER . Set List2 to L2
by pressing 2ndF L2 ENTER . Press 2ndF EXE to compute the
statistical test.
5. The first item on the screen, µ1>µ2, is the alternate hypothesis of the statistical
test. The second item is the observed statistic from the sample . The third
item is decision statistic or p value. In our problem, the p value is .0323 which
is less than .05. Our decision is to reject the null hypothesis that µ1=µ2 and
support the alternate hypothesis that µ1>µ2. This test clearly shows that
"da Bears" average more wins a season than the Packers and thus are a better
football team. The fifth and sixth values show on the average, "da Bears" win
approximately 9 games a season, whereas the Packers win 7.
STATISTICAL TESTS
10.2
NAME _____________________________________________________ CLASS __________ DATE __________
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