MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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There are four questions on this prompt. Would you please answer them, for I am baffled. Thank you 

## Survey Results Analysis: StatCrunch U

### One Sample Proportion Confidence Interval

**Outcomes in:** Gender  
**Success:** Female  
**p:** Proportion of successes  
**Method:** Standard-Wald

#### 95% Confidence Interval Results:
- **Variable:** Gender
- **Count:** 55
- **Total:** 100
- **Sample Prop.:** 0.55
- **Std. Err.:** 0.049749372
- **L. Limit:** 0.45249302
- **U. Limit:** 0.64750698

### Frequency Table Results for Gender

- **Count:** 100
- **Gender:** 
  - **Female:** 
    - **Frequency:** 55
    - **Relative Frequency:** 0.55
  - **Male:** 
    - **Frequency:** 45
    - **Relative Frequency:** 0.45

### One Sample Proportion Hypothesis Test

**Outcomes in:** Gender  
**Success:** Female  
**p:** Proportion of successes  
- **H₀:** p = 0.5
- **Hₐ:** p ≠ 0.5

#### Hypothesis Test Results:
- **Variable:** Gender
- **Count:** 55
- **Total:** 100
- **Sample Prop.:** 0.55
- **Std. Err.:** 0.05
- **Z-Stat:** 1
- **P-value:** 0.3173

---

This analysis provides an overview of the gender distribution in a sample of 100 individuals, focusing on the proportion of females. The confidence interval and hypothesis test results help determine if the observed proportion is significantly different from a hypothesized value.
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Transcribed Image Text:## Survey Results Analysis: StatCrunch U ### One Sample Proportion Confidence Interval **Outcomes in:** Gender **Success:** Female **p:** Proportion of successes **Method:** Standard-Wald #### 95% Confidence Interval Results: - **Variable:** Gender - **Count:** 55 - **Total:** 100 - **Sample Prop.:** 0.55 - **Std. Err.:** 0.049749372 - **L. Limit:** 0.45249302 - **U. Limit:** 0.64750698 ### Frequency Table Results for Gender - **Count:** 100 - **Gender:** - **Female:** - **Frequency:** 55 - **Relative Frequency:** 0.55 - **Male:** - **Frequency:** 45 - **Relative Frequency:** 0.45 ### One Sample Proportion Hypothesis Test **Outcomes in:** Gender **Success:** Female **p:** Proportion of successes - **H₀:** p = 0.5 - **Hₐ:** p ≠ 0.5 #### Hypothesis Test Results: - **Variable:** Gender - **Count:** 55 - **Total:** 100 - **Sample Prop.:** 0.55 - **Std. Err.:** 0.05 - **Z-Stat:** 1 - **P-value:** 0.3173 --- This analysis provides an overview of the gender distribution in a sample of 100 individuals, focusing on the proportion of females. The confidence interval and hypothesis test results help determine if the observed proportion is significantly different from a hypothesized value.
**Unit 8 Lab**

For the Unit 8 lab, you will use a random sample of 100 students from a fictitious virtual population of 46,000 students at StatCrunch U.

**Instructions for accessing your data:**
- To access StatCrunch U, log into StatCrunch and click on Data Collectors.

You will see a student survey with 6 questions. This is a fictitious survey answered by the 46,000 fictitious students at StatCrunch U.

Below the survey, you can set the sample size. Set this to 100 and click "Generate Sample." A spreadsheet will appear with the survey results for your random sample of 100 StatCrunch U students.

**Note:** Your sample is a random sample; therefore, your results will differ somewhat from other students’ results.

**Instructions for the lab assignment:**

1. **Count Men and Women:**
   - How many females are in your sample? How many males? What proportion of your sample is female? What proportion of your sample is male?
   - **StatCrunch steps:** Stat, Tables, Frequency

2. **Proportion Hypothesis Test:**
   - Is there an equal proportion of men and women at StatCrunch U?
     a) Show that the conditions are met for using a normal model for a hypothesis test (np ≥ 10 and n(1 - p) ≥ 10, where p is from the null hypothesis).
     b) Use StatCrunch to test the claim that the proportion of females is equal to the proportion of men. Paste the output.
       **StatCrunch steps:** Stat, Proportion Stats, One Sample, With Data.
     c) Write a conclusion based on your hypothesis test.
     d) Explain the meaning of the P-value in this context (random samples of 100 StatCrunch U students).

3. **Confidence Interval:**
   - What are the proportions of females and males at StatCrunch U?
     a) Show the conditions are met for using a normal model (count of successes and failures are greater than 10).
     b) Find a 95% confidence interval using StatCrunch. Paste the results.
       **StatCrunch steps:** Stat, Proportion Stats, One Sample, With Data.
     c) Interpret the interval regarding females.
     d) Explain what is meant by “95% confident.”

4. **Supporting Hypothesis Test:**
   - Does your confidence interval support your hypothesis test? Explain.
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Transcribed Image Text:**Unit 8 Lab** For the Unit 8 lab, you will use a random sample of 100 students from a fictitious virtual population of 46,000 students at StatCrunch U. **Instructions for accessing your data:** - To access StatCrunch U, log into StatCrunch and click on Data Collectors. You will see a student survey with 6 questions. This is a fictitious survey answered by the 46,000 fictitious students at StatCrunch U. Below the survey, you can set the sample size. Set this to 100 and click "Generate Sample." A spreadsheet will appear with the survey results for your random sample of 100 StatCrunch U students. **Note:** Your sample is a random sample; therefore, your results will differ somewhat from other students’ results. **Instructions for the lab assignment:** 1. **Count Men and Women:** - How many females are in your sample? How many males? What proportion of your sample is female? What proportion of your sample is male? - **StatCrunch steps:** Stat, Tables, Frequency 2. **Proportion Hypothesis Test:** - Is there an equal proportion of men and women at StatCrunch U? a) Show that the conditions are met for using a normal model for a hypothesis test (np ≥ 10 and n(1 - p) ≥ 10, where p is from the null hypothesis). b) Use StatCrunch to test the claim that the proportion of females is equal to the proportion of men. Paste the output. **StatCrunch steps:** Stat, Proportion Stats, One Sample, With Data. c) Write a conclusion based on your hypothesis test. d) Explain the meaning of the P-value in this context (random samples of 100 StatCrunch U students). 3. **Confidence Interval:** - What are the proportions of females and males at StatCrunch U? a) Show the conditions are met for using a normal model (count of successes and failures are greater than 10). b) Find a 95% confidence interval using StatCrunch. Paste the results. **StatCrunch steps:** Stat, Proportion Stats, One Sample, With Data. c) Interpret the interval regarding females. d) Explain what is meant by “95% confident.” 4. **Supporting Hypothesis Test:** - Does your confidence interval support your hypothesis test? Explain.
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