Part 2 of 5
Find the critical value. Round the answer to at least three decimal places.

Alright, let’s dive into it!

When you’re working with a chi-square test, the critical value you mentioned (7.779) likely corresponds to a specific significance level and degrees of freedom. Remember, this critical value acts as a benchmark to help you determine if your test statistic (like the one you mentioned, ) is significant enough to reject the null hypothesis.

Now, to find out what this means practically: if your computed test value of 1 is less than the critical value of 7.779, then you would fail to reject the null hypothesis. This indicates that there’s insufficient evidence to suggest a significant difference or effect in your data, keeping the status quo intact! Always check your degrees of freedom—this can change your critical value significantly!