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The Chi-Square Table (Chapter 17) The chi-square table: The degrees of freedom for a given test...

The Chi-Square Table (Chapter 17)

The chi-square table: The degrees of freedom for a given test are listed in the column to the far left; the level of significance is listed in the top row to the right. These are the only two values you need to find the critical values for a chi-square test.

Increasing k and a in the chi-square table

  1. Record the critical values for a chi-square test, given the following values for k at each level of significance: (3 points)

.10

.05

.01

k = 10

___

___

___

k = 16

___

___

___

k = 22

___

___

___

k = 30

___

___

___

Note: Because there is only one k given, assume this is a goodness-of-fit test and compute the degrees of freedom as (k − 1).

  1. As the level of significance increases (from .01 to .10), does the critical value increase or decrease? Explain.

  1. As k increases (from 10 to 30), does the critical value increase or decrease? Explain you answer as it relates to the test statistic. (2 points)

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Answer #1

Table:

degrees of freedom=(k-1)

0.1

0.05

0.01

k=10

9

14.684

16.919

21.666

k=16

15

22.307

24.996

30.578

k=22

21

29.615

32.671

38.932

k=30

29

39.087

42.557

49.588

As the level of significance increases from 0.01 to 0.1 the critical values are decreasing. It means that the confidence level is decreasing when the critical values are decreasing.

As the ‘k’ values are increasing the critical values are increasing. It means that as increases sample size the critical values are increasing. Greater sample size gives significant results.

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