User Manual

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.
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 (mean).
5.97 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 (O
i
) and the expected frequencies (E
i
) are significant, or whether
they may reasonable be attributed to chance. The formula generally used is: