barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day. A sample of 50 stocks traded on the NYSE that day showed that 18 went up. You are conducting a study to see if the proportion of stocks that went up is significantly more than 0.3. You use a significance level of a = 0.002. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... O less than (or equal to) a O greater than a This test statistic leads to a decision to... O reject the null accept the null O fail to reject the null As such, the final conclusion is that... O There is sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is more than 0.3. O There is not sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is more than 0.3. O The sample data support the claim that the proportion of stocks that went up is more than 0.3. O There is not sufficient sample evidence to support the claim that the proportion of stocks that went up is more than 0.3.

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### Statistical Analysis of Stock Market Performance

Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day. 

A sample of 50 stocks traded on the NYSE that day showed that 18 went up.

You are conducting a study to see if the proportion of stocks that went up is significantly more than 0.3. You use a significance level of \(\alpha = 0.002\).

**Questions:**

1. **What is the test statistic for this sample? (Report answer accurate to three decimal places.)**
   - Test statistic = ______

2. **What is the p-value for this sample? (Report answer accurate to four decimal places.)**
   - p-value = ______

3. **The p-value is:**
   - ☐ less than (or equal to) \(\alpha\)
   - ☐ greater than \(\alpha\)

4. **This test statistic leads to a decision to:**
   - ☐ reject the null
   - ☐ accept the null
   - ☐ fail to reject the null

5. **As such, the final conclusion is that:**
   - ☐ There is sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is more than 0.3.
   - ☐ There is not sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is more than 0.3.
   - ☐ The sample data support the claim that the proportion of stocks that went up is more than 0.3.
   - ☐ There is not sufficient sample evidence to support the claim that the proportion of stocks that went up is more than 0.3.

### Explanation of Methods:

**Hypothesis Testing:**
- Null Hypothesis (\(H_0\)): The proportion of stocks that went up is 0.3.
- Alternative Hypothesis (\(H_1\)): The proportion of stocks that went up is more than 0.3.

**Key
Transcribed Image Text:### Statistical Analysis of Stock Market Performance Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day. A sample of 50 stocks traded on the NYSE that day showed that 18 went up. You are conducting a study to see if the proportion of stocks that went up is significantly more than 0.3. You use a significance level of \(\alpha = 0.002\). **Questions:** 1. **What is the test statistic for this sample? (Report answer accurate to three decimal places.)** - Test statistic = ______ 2. **What is the p-value for this sample? (Report answer accurate to four decimal places.)** - p-value = ______ 3. **The p-value is:** - ☐ less than (or equal to) \(\alpha\) - ☐ greater than \(\alpha\) 4. **This test statistic leads to a decision to:** - ☐ reject the null - ☐ accept the null - ☐ fail to reject the null 5. **As such, the final conclusion is that:** - ☐ There is sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is more than 0.3. - ☐ There is not sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is more than 0.3. - ☐ The sample data support the claim that the proportion of stocks that went up is more than 0.3. - ☐ There is not sufficient sample evidence to support the claim that the proportion of stocks that went up is more than 0.3. ### Explanation of Methods: **Hypothesis Testing:** - Null Hypothesis (\(H_0\)): The proportion of stocks that went up is 0.3. - Alternative Hypothesis (\(H_1\)): The proportion of stocks that went up is more than 0.3. **Key
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