HP 12C#ABA hp 12c_solutions handbook_English_E.pdf - Page 111

Chi-Square Statistics - standard deviation

Page 111 highlights

4. Key in the respective frequency and press number of data points entered. 5. Repeat steps 3 and 4 for each data point. 6. To calculate the mean, press 05 . The display shows the . 7. Press to find the standard deviation. 8. Press to find the standard error of the mean. 9. For a new case, go to step 2. Keystrokes Display CLEAR 190 1.00 First data pair. 54 195 2.00 Second data pair. 32 200 3.00 Third data pair. 88 206 92 05 4.00 199.44 5.97 Total number of data sets. Average monthly rent (maen). Standard deviation. 0.37 Standard error of the mean. Chi-Square Statistics The chi-square statistic is a measure of the goodness of fit between two sets of frequencies. It is used to test whether a set of observed frequencies differs from a set of expected frequencies sufficiently to reject the hypothesis under which the expected frequencies were obtained. In other words, you are testing whether discrepancies between the observed frequencies (Oi) and the expected frequencies (Ei) are significant, or whether they may reasonable be attributed to chance. The formula generally used is: 110

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110
4.
Key in the respective frequency and press
. The display shows the
number of data points entered.
5.
Repeat steps 3 and 4 for each data point.
6.
To calculate the mean, press
05
7.
Press
to find the standard deviation.
8.
Press
to find the standard error of the mean.
9.
For a new case, go to step 2.
Chi-Square Statistics
The chi-square statistic is a measure of the goodness of fit between two
sets of frequencies. It is used to test whether a set of observed
frequencies differs from a set of expected frequencies sufficiently to reject
the hypothesis under which the expected frequencies were obtained.
In other words, you are testing whether discrepancies between the
observed frequencies (
O
i
) and the expected frequencies (
E
i
) are
significant, or whether they may reasonable be attributed to chance. The
formula generally used is:
Keystrokes
Display
CLEAR
190
54
1.00
First data pair.
195
32
2.00
Second data pair.
200
88
3.00
Third data pair.
206
92
4.00
Total number of
data sets.
05
199.44
Average monthly rent (maen).
5.97
Standard deviation.
0.37
Standard error of the mean.