Statistical tests – Sharp EL-9900 User Manual

Page 114

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17

Advanced Keyboard/STATISTICS USING THE SHARP EL-9900

Copyright © 2002, Sharp Electronics Corporation. Permission is granted to photocopy for educational use only.

Steps for performing a one-small-sample hypothesis test for
the population mean

1.

Turn the calculator on and access the data entry screen. Delete old data

and enter the following data set for L1:

7

10

7

6

8

10

15

14

11

12

6

11

11

5

7

9

9

7

4

4

6

5

13

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

in each complete regular season since 1978.

3.

Test the alternate hypothesis that "da Bears" are a winning football team

against the null hypothesis that "da Bears" are a .500 ball club (8 wins).

4.

Set up the statistical test by pressing 2ndF QUIT STAT E (TEST) and

0 3 (Ttest1samp).

5.

Set the alternate hypothesis to µ > µo by pressing ENTER .

Set the null hypothesis equal to 8 wins by pressing

▼ 8 ENTER .

Set the List to L1 by pressing 2ndF L1

ENTER .

6.

Press 2ndF EXE to compute the statistical test.

7.

The first item on the screen, µ>8, is the alternate hypothesis of the statistical

test. The second item on the screen is the observed statistic from the sample.

The third item on the screen is the decision statistic or p value.

8.

The p value is .201, which is greater than .05. Our decision is to support the

null hypothesis that µ=8. This test shows that "da Bears" average 8 wins a

season and thus are .500 ball club. However, the fourth item shows that on

the average, "da Bears" win approximately 8.56 games a season, which says

they are winners.

STATISTICAL TESTS

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