The problem asks us to estimate the chi-square value when $n=23$ and $p=99$, given a table of chi-square values for various $n$ and $p$ values.

Probability and StatisticsChi-square distributionStatistical estimationInterpolation
2025/5/27

1. Problem Description

The problem asks us to estimate the chi-square value when n=23n=23 and p=99p=99, given a table of chi-square values for various nn and pp values.

2. Solution Steps

We are given the following table:
| n/p | 95 | 99 | 99.9 |
|-----|-------|-------|-------|
| 20 | 31.41 | 37.57 | 45.31 |
| 22 | 33.92 | 40.29 | 51.18 |
| 24 | 36.42 | 42.98 | 54.05 |
We want to estimate the chi-square value for n=23n=23 and p=99p=99. We can use linear interpolation to estimate this value.
First, we interpolate between n=22n=22 and n=24n=24 for p=99p=99. The corresponding chi-square values are 40.2940.29 and 42.9842.98, respectively.
Since 23 is exactly in the middle of 22 and 24, the interpolated value is the average of 40.29 and 42.
9
8.
Interpolated value =40.29+42.982=83.272=41.635= \frac{40.29 + 42.98}{2} = \frac{83.27}{2} = 41.635
So, the estimated chi-square value for n=23n=23 and p=99p=99 is 41.63541.635.

3. Final Answer

41.635

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