Chi-Square Statistics - HP 12c Platinum Reference Manual

12c platinum / 12C
RPN Keystrokes
195\\
32t
200\\
88t
206\\
92t
g(005t
t
t

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 ) and the expected frequencies (E
i
attributed to chance. The formula generally used is:
If there is a close agreement between the observed and expected frequencies,
small. If the agreement is poor,
The following keystrokes calculate the
1. Press f CLEAR H .
RPN Mode:
2. Key in the first O
3. Key in the first E
ALG Mode:
2. Key in the first O
3. Key in the first E
4. Repeat steps 2 and 3 for all data pairs. The χ
12c platinum
ALG Keystrokes
195³
32t
200³
88t
206³
92t
g(009t
t
t
) are significant, or whether they may reasonable be
i
2
χ
=
2
χ
will be large.
χ
value and press \ .
i
value and press ? 0 -\§: 0 z+ .
i
value and press - .
i
value and press ? 0 ³g'z: 0 +~³ .
i
Display
Second data pair.
2.00
Third data pair.
3.00
Total number of data sets.
4.00
Average monthly rent (mean).
199.44
Standard deviation.
5.97
Standard error of the mean.
0.37
( )
2
n
−
O E
∑
i i
E
=
i
i 1
2
statistic:
2
value is displayed.
Statistics 109
Comments
2
χ
will be