Respuesta :
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.
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
