Question

In: Math

Imagine a professor wants to examine if there is a relationship between gender and performance on...

Imagine a professor wants to examine if there is a relationship between gender and performance on a writing test. Thirty girls and thirty boys participated in his experiment. They were given a standard writing test and their grades were given as “outstanding”, “good”, “passing”, and “failing”. If the professor decided to use a Chi-square test to examine the relationship, how many degrees of freedom are there in this Chi-square test?

When using the Chi-square test, the probability of Type I error is____ its significance level.
a. Not related to   
b. Bigger than
c. Equal to

b. Smaller than

If the probability value of a Chi square of 3.2 with a degree of freedom of 3 is 0.368, then we should___.
a. Fail to reject the null hypothesis       
b. We cannot decide unless we get the information on t-value
c. Reject the null hypothesis       
d. We cannot decide unless we get the information on factors and levels

Solutions

Expert Solution

1) how many degrees of freedom are there in this Chi-square test?

Answer:- we have two rows, one for girls and one for boys. Four columns, one for each “outstanding”, “good”, “passing”, and “failing”.

we know degree of freedom = (number of rows -1)*(number of columns -1)

we have number of rows =2 and number of rows = 4

so, we get

degree of freedom = (2 -1)*(4 -1) = 1*3 = 3

so, required degree of freedom = 3

2) When using the Chi-square test, the probability of Type I error is____ its significance level.
Answer:- we know that probability of type I error is always equal to the significance level. So, for chi square test, the probability of type I error is equal to its significance level.

So, answer is "equal"

3)If the probability value of a Chi square of 3.2 with a degree of freedom of 3 is 0.368, then we should___.

Answer:- At 0.05 or 0.10 level of significance, the result is insignificant because the p value is greater than significance level. So, we failed to reject the null hypothesis

So, option A is correct.


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