that the proportion p of all married couples for whom her communication program can prevent divorce is 77%. After making some recent changes, the marriage counselor now claims that her program can prevent divorce in more than 77% of married couples. In a random sample of 250 married couples who completed her program, 194 of them stayed together. Based on this sample, is there enough evidence to support the marriage counselor's claim at the 0.10 level of significance? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H and the alternative hypothesis H₁. H₁ :0 H₁ :0 (b) Determine the type of test statistic to use. (Choose one) ▼ (c) Find the value of the test statistic. (Round to three or more decimal places.) (d) Find the p-value. (Round to three or more decimal places.) 10 (e) Is there enough evidence to support the marriage counselor's claim that the proportion of married couples for whom her program can prevent divorce is more than 77%? OYes No μ X X O S 00 OSO
that the proportion p of all married couples for whom her communication program can prevent divorce is 77%. After making some recent changes, the marriage counselor now claims that her program can prevent divorce in more than 77% of married couples. In a random sample of 250 married couples who completed her program, 194 of them stayed together. Based on this sample, is there enough evidence to support the marriage counselor's claim at the 0.10 level of significance? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H and the alternative hypothesis H₁. H₁ :0 H₁ :0 (b) Determine the type of test statistic to use. (Choose one) ▼ (c) Find the value of the test statistic. (Round to three or more decimal places.) (d) Find the p-value. (Round to three or more decimal places.) 10 (e) Is there enough evidence to support the marriage counselor's claim that the proportion of married couples for whom her program can prevent divorce is more than 77%? OYes No μ X X O S 00 OSO
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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
Transcribed Image Text:# Hypothesis Testing for a Marriage Counselor's Program
A marriage counselor has traditionally observed that the proportion \( p \) of all married couples for whom her communication program can prevent divorce is 77%. After implementing some recent changes, the marriage counselor claims that her program can prevent divorce in more than 77% of married couples.
In a random sample of 250 married couples who completed her program, 194 of them stayed together. Based on this sample, is there enough evidence to support the marriage counselor's claim at the 0.10 level of significance?
## Steps to Perform a One-Tailed Test
1. **State the Hypotheses:**
- **Null Hypothesis (\( H_0 \)):** \( p = 0.77 \)
- **Alternative Hypothesis (\( H_1 \)):** \( p > 0.77 \)
2. **Determine the Test Statistic:**
- Choose an appropriate test statistic (not specified in the image, but likely a z-test for proportions due to sample size).
3. **Compute the Test Statistic:**
- Calculate using the sample data. (Round to three or more decimal places; computations not provided in the image).
4. **Find the p-value:**
- Determine the p-value associated with the test statistic. (Round to three or more decimal places; computations not provided in the image).
5. **Conclusion:**
- Decide if there is enough evidence to support the marriage counselor's claim based on the p-value and the level of significance (0.10).
- Options for answering: Yes or No.
### Visual Aids
- **Symbols and buttons:**
- Various statistical symbols \( \mu, \sigma, p \) and others might be useful for calculations but are not labeled with specific values or data in the image.
The provided data and methods guide one to apply hypothesis testing to assess the effectiveness of the counselor's revised program.
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