A researcher is interested in understanding if there is a difference in the proportion of undergrad and grad students at UCI who prefer online teaching to in person teaching, at the a = 0.05 level. They take 2 samples, first, a sample of 300 undergrad students. The second, is a sample of 172 grad students. Of the undergrads, 186 said they preferred online lectures, and of the graduate students, 104 said that they prefer online lectures. Let p₁ the proportion of undergrad students who prefer online class and p2 the proportion of grad students who prefer online lectures. = =

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### Research Question:
A researcher is interested in understanding if there is a difference in the proportion of undergrad and grad students at UCI who prefer online teaching to in-person teaching, at the α = 0.05 level. They take 2 samples, first, a sample of 300 undergrad students. The second, is a sample of 172 grad students. Of the undergrads, 186 said they preferred online lectures, and of the graduate students, 104 said that they prefer online lectures. Let \( p_1 \) be the proportion of undergrad students who prefer online classes and \( p_2 \) be the proportion of grad students who prefer online lectures.

#### (a) Set up the null and alternative hypothesis (using mathematical notation/numbers AND interpret them in context of the problem).

**Solution:**
- Null Hypothesis (\(H_0\)): \( p_1 = p_2 \)
  - There is no difference in the proportion of undergrad and grad students who prefer online teaching.
- Alternative Hypothesis (\(H_A\)): \( p_1 \neq p_2 \)
  - There is a difference in the proportion of undergrad and grad students who prefer online teaching.

#### (b) Calculate the test statistic.

**Solution:**
To calculate the test statistic, use the following steps:

1. Calculate the sample proportions:
   - \(\hat{p}_1 = \frac{186}{300}\)
   - \(\hat{p}_2 = \frac{104}{172}\)

2. Calculate the pooled proportion (\(\hat{p}\)):
   - \(\hat{p} = \frac{186 + 104}{300 + 172}\)

3. Calculate the standard error (SE):
   - \( SE = \sqrt{\hat{p}(1 - \hat{p}) \left(\frac{1}{n_1} + \frac{1}{n_2}\right)} \)

4. Calculate the test statistic (\(z\)):
   - \( z = \frac{\hat{p}_1 - \hat{p}_2}{SE} \)

#### (c) Calculate the critical value.

**Solution:**
For a two-tailed test at the α = 0.05 level, the critical values for \(z\) are approximately ±1.96.

#### (d) Draw a picture of the distribution of the
Transcribed Image Text:### Research Question: A researcher is interested in understanding if there is a difference in the proportion of undergrad and grad students at UCI who prefer online teaching to in-person teaching, at the α = 0.05 level. They take 2 samples, first, a sample of 300 undergrad students. The second, is a sample of 172 grad students. Of the undergrads, 186 said they preferred online lectures, and of the graduate students, 104 said that they prefer online lectures. Let \( p_1 \) be the proportion of undergrad students who prefer online classes and \( p_2 \) be the proportion of grad students who prefer online lectures. #### (a) Set up the null and alternative hypothesis (using mathematical notation/numbers AND interpret them in context of the problem). **Solution:** - Null Hypothesis (\(H_0\)): \( p_1 = p_2 \) - There is no difference in the proportion of undergrad and grad students who prefer online teaching. - Alternative Hypothesis (\(H_A\)): \( p_1 \neq p_2 \) - There is a difference in the proportion of undergrad and grad students who prefer online teaching. #### (b) Calculate the test statistic. **Solution:** To calculate the test statistic, use the following steps: 1. Calculate the sample proportions: - \(\hat{p}_1 = \frac{186}{300}\) - \(\hat{p}_2 = \frac{104}{172}\) 2. Calculate the pooled proportion (\(\hat{p}\)): - \(\hat{p} = \frac{186 + 104}{300 + 172}\) 3. Calculate the standard error (SE): - \( SE = \sqrt{\hat{p}(1 - \hat{p}) \left(\frac{1}{n_1} + \frac{1}{n_2}\right)} \) 4. Calculate the test statistic (\(z\)): - \( z = \frac{\hat{p}_1 - \hat{p}_2}{SE} \) #### (c) Calculate the critical value. **Solution:** For a two-tailed test at the α = 0.05 level, the critical values for \(z\) are approximately ±1.96. #### (d) Draw a picture of the distribution of the
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