A professor is trying to determine if her students guessed on a certain multiple choice question. She expects that if the students guessed, the distribution of answers would be uniform for that question. She compares the observed distribution of answers with the uniform distribution.

Answer Choice	A	B	C	D
Expected	10	10	10	10
Observed	14	5	7	19

The first few steps of a chi-square goodness-of-fit test are summarized below.

• H0: The students were guessing. Ha: The students were not guessing.
• =0.10
• The test statistic, 20=13.100.
• The critical value: 20.10=6.251.

What conclusions can be made? Select all that apply.

Select all that apply:

We should not reject H0.

We should reject H0.

At the 10% significance level, there is sufficient evidence to conclude that the students were not guessing (the outcomes do not occur with equal frequencies).

At the 10% significance level, there is not sufficient evidence to conclude that the students were not guessing (the outcomes do not occur with equal frequencies).