Question

Determine whether the statement is true or false. If it is​ false, rewrite it as a true statement.

If the test statistic for the​ chi-square independence test is​ large, you​ will, in most​ cases, reject the null hypothesis.

Answer 1

Answer:

true

Step-by-step explanation:

• we will use here chi-square independence test when here variable is independent
• so that here fro small value for x² test statistic will be corresponding with the independent variable
• but for  x² test of large value indicate that variable is independent so that it will reject null hypothesis
• so that here x² test statistic are sufficient large value.

Answer 2

The given statement the test statistic for the​ chi-square independence test is​ large, you​ will, in most​ cases, reject the null hypothesis is; True.

The chi-square independence test is a statistical test that is used to tell us the likelihood of two variables being related.

Now, in this chi-square independence test, what we calculate is usually the test statistic which we write as χ².

Now, when we compare this calculated value of the test statistic χ² to the critical value from the χ² distribution table with given/calculated degrees of freedom and chosen confidence level.

The way we conclude is that If the calculated χ² > critical χ² value, then we reject the null hypothesis.

Read more about chi-square distribution at;https://brainly.com/question/16413621