Professor Jennings claims that only 35% of the students at Flora College work while attending school. Dean Renata thinks that the professor has underestimated the number of students with part-time or full-time jobs. A random sample of 84 students shows that 37 have jobs. Do the data indicate that more than 35% of the students have jobs? Use a 5% level of significance. What are we testing in this problem? single proportion single mean (a) What is the level of significance? State the null and alternate hypotheses. Ho: p = 0.35; H1: p + 0.35 Ho: H = 0.35; H1: µ < 0.35 %3D Но: р %3D 0.35; Hi: р> 0.35 Ho: H = 0.35; H1: µ > 0.35 %3D Ho: H = 0.35; H1: µ ± 0.35 %3D Но: р %3D 0.35; Hi: р < 0.35 (b) What sampling distr The standard normal, since np > 5 and nq > 5. ution will you use? What assumptions are you making? The Student's t, since np < 5 and nq < 5. The standard normal, since np < 5 and nq < 5. The Student's t, since np > 5 and ng > 5. What is the value of the sample test statistic? (Round your answer to two decimal places.) (c) Find the P-value. (Round your answer to four decimal places.)

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**Hypothesis Testing for Proportion of Students with Jobs at Flora College**

Professor Jennings claims that only 35% of the students at Flora College work while attending school. Dean Renata thinks that the professor has underestimated the number of students with part-time or full-time jobs. A random sample of 84 students shows that 37 have jobs. Do the data indicate that more than 35% of the students have jobs? Use a 5% level of significance.

### What are we testing in this problem?
- Single Proportion
- Single Mean

### (a) What is the level of significance?
- [input box]

### State the null and alternate hypotheses.
- \( H_{0}: p = 0.35; \ H_{1}: p \neq 0.35 \)
- \( H_{0}: \mu = 0.35; \ H_{1}: \mu < 0.35 \)
- \( H_{0}: p = 0.35; \ H_{1}: p > 0.35 \)
- \( H_{0}: \mu = 0.35; \ H_{1}: \mu > 0.35 \)
- \( H_{0}: \mu = 0.35; \ H_{1}: \mu \neq 0.35 \)
- \( H_{0}: p = 0.35; \ H_{1}: p < 0.35 \)

### (b) What sampling distribution will you use? What assumptions are you making?
- The standard normal, since \( np > 5 \) and \( nq > 5 \).
- The Student's t, since \( np < 5 \) and \( nq < 5 \).
- The standard normal, since \( np < 5 \) and \( nq < 5 \).
- The Student's t, since \( np > 5 \) and \( nq > 5 \).

### What is the value of the sample test statistic? (Round your answer to two decimal places.)
- [input box]

### (c) Find the P-value. (Round your answer to four decimal places.)
- [input box]
Transcribed Image Text:**Hypothesis Testing for Proportion of Students with Jobs at Flora College** Professor Jennings claims that only 35% of the students at Flora College work while attending school. Dean Renata thinks that the professor has underestimated the number of students with part-time or full-time jobs. A random sample of 84 students shows that 37 have jobs. Do the data indicate that more than 35% of the students have jobs? Use a 5% level of significance. ### What are we testing in this problem? - Single Proportion - Single Mean ### (a) What is the level of significance? - [input box] ### State the null and alternate hypotheses. - \( H_{0}: p = 0.35; \ H_{1}: p \neq 0.35 \) - \( H_{0}: \mu = 0.35; \ H_{1}: \mu < 0.35 \) - \( H_{0}: p = 0.35; \ H_{1}: p > 0.35 \) - \( H_{0}: \mu = 0.35; \ H_{1}: \mu > 0.35 \) - \( H_{0}: \mu = 0.35; \ H_{1}: \mu \neq 0.35 \) - \( H_{0}: p = 0.35; \ H_{1}: p < 0.35 \) ### (b) What sampling distribution will you use? What assumptions are you making? - The standard normal, since \( np > 5 \) and \( nq > 5 \). - The Student's t, since \( np < 5 \) and \( nq < 5 \). - The standard normal, since \( np < 5 \) and \( nq < 5 \). - The Student's t, since \( np > 5 \) and \( nq > 5 \). ### What is the value of the sample test statistic? (Round your answer to two decimal places.) - [input box] ### (c) Find the P-value. (Round your answer to four decimal places.) - [input box]
### P-Values and Hypothesis Testing

#### Sketch the sampling distribution and show the area corresponding to the P-value.

In the provided graphs, the sampling distributions are illustrated as normal distributions (bell curves). The shaded areas under these curves represent the P-values corresponding to different hypothesis tests.

1. **Graph 1**: The shaded area is on the left side under the curve, starting from \( -3 \) to approximately \( -1.5 \).
2. **Graph 2**: The shaded area is on the right side under the curve, starting from approximately \( 1 \) to \( 3 \).
3. **Graph 3**: The shaded areas are on both tails of the curve, starting from \( -3 \) to approximately \( -1.5 \) and approximately \( 1.5 \) to \( 3 \).
4. **Graph 4**: The shaded area is on the right side under the curve, starting from approximately \( 2 \) to \( 3 \).

#### Multiple-Choice Questions:

**(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level \(\alpha\)?**
- ○ At the \(\alpha = 0.05\) level, we reject the null hypothesis and conclude the data are statistically significant.
- ○ At the \(\alpha = 0.05\) level, we reject the null hypothesis and conclude the data are not statistically significant.
- ○ At the \(\alpha = 0.05\) level, we fail to reject the null hypothesis and conclude the data are statistically significant.
- ○ At the \(\alpha = 0.05\) level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

**(e) Interpret your conclusion in the context of the application.**
- ○ There is sufficient evidence at the 0.05 level to conclude that more than 35% of the students have jobs.
- ○ There is insufficient evidence at the 0.05 level to conclude that more than 35% of the students have jobs.

### Explanation of the Graphs:

- **Graph 1**: Represents a one-tailed test where the critical region is on the left end. If the test statistic falls within this region, the null hypothesis would be rejected.
- **Graph 2
Transcribed Image Text:### P-Values and Hypothesis Testing #### Sketch the sampling distribution and show the area corresponding to the P-value. In the provided graphs, the sampling distributions are illustrated as normal distributions (bell curves). The shaded areas under these curves represent the P-values corresponding to different hypothesis tests. 1. **Graph 1**: The shaded area is on the left side under the curve, starting from \( -3 \) to approximately \( -1.5 \). 2. **Graph 2**: The shaded area is on the right side under the curve, starting from approximately \( 1 \) to \( 3 \). 3. **Graph 3**: The shaded areas are on both tails of the curve, starting from \( -3 \) to approximately \( -1.5 \) and approximately \( 1.5 \) to \( 3 \). 4. **Graph 4**: The shaded area is on the right side under the curve, starting from approximately \( 2 \) to \( 3 \). #### Multiple-Choice Questions: **(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level \(\alpha\)?** - ○ At the \(\alpha = 0.05\) level, we reject the null hypothesis and conclude the data are statistically significant. - ○ At the \(\alpha = 0.05\) level, we reject the null hypothesis and conclude the data are not statistically significant. - ○ At the \(\alpha = 0.05\) level, we fail to reject the null hypothesis and conclude the data are statistically significant. - ○ At the \(\alpha = 0.05\) level, we fail to reject the null hypothesis and conclude the data are not statistically significant. **(e) Interpret your conclusion in the context of the application.** - ○ There is sufficient evidence at the 0.05 level to conclude that more than 35% of the students have jobs. - ○ There is insufficient evidence at the 0.05 level to conclude that more than 35% of the students have jobs. ### Explanation of the Graphs: - **Graph 1**: Represents a one-tailed test where the critical region is on the left end. If the test statistic falls within this region, the null hypothesis would be rejected. - **Graph 2
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