Question

In chi-square testing, the expected count is often calculated. What does it represent?

Group of answer choices

( )

The hypothetical counts that would occur if the null hypothesis were true.

( )

The observed counts from the representative data.

( )

The hypothetical counts that would occur if the alternative hypothesis were true.

( )

The true positive counts that occur.

Answer #1

**Solution:**

In chi-square testing, the expected count is often calculated.

In chi-square testing, we state two hypothesis: null hypothesis H0 and alternative hypothesis H1.

Under H0, we state that frequencies or counts occurs according to expected proportions or expected counts.

and under alternative hypothesis H1, we state statement against the null hypothesis.

Thus under alternative hypothesis H1, we state frequencies or counts does not occur according to expected proportions or expected counts.

Thus we calculate expected counts assuming null hypothesis is true.

**Thus correct answer is:**

**The hypothetical counts that would occur if the null
hypothesis were true.**

Find the expected count and the contribution to the chi-square
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below
Yes No
Group 1 726 250
Group 2 1151 329
Round your answer for the excepted count to one decimal place,
and your answer for the contribution to the chi-square statistic to
three decimal places.
Expected count=
contribution to the chi-square statistic=

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