A marketing survey involves product recognition in Texas and California. Of 366 Texans surveyed, 78 knew the product while 64 out of 449 Californians knew the product. Use a significance level of 0.05 to test if there is a difference in recognition rates. Ho:PT = PC На: рт + рс What is the test statistic? (Report answer accurate to four decimal places.) test statistic = What is the p-value? (Report answer accurate to four decimal places.) p-value = The p-value is... O less than (or equal to) a O greater than a The p-value leads to a decision to... O reject the null O accept the null O fail to reject the null The conclusion is that... O There is not sufficient evidence to conclude product recognition between Texans and Californians is the same. O There is sufficient evidence to conclude product recognition between Texans and Californians is the same. O There is sufficient evidence to conclude there is a significant difference in product recognition between Texans and Californians. O There is not sufficient evidence to conclude there is a significant difference in product recognition between Texans and Californians.
A marketing survey involves product recognition in Texas and California. Of 366 Texans surveyed, 78 knew the product while 64 out of 449 Californians knew the product. Use a significance level of 0.05 to test if there is a difference in recognition rates. Ho:PT = PC На: рт + рс What is the test statistic? (Report answer accurate to four decimal places.) test statistic = What is the p-value? (Report answer accurate to four decimal places.) p-value = The p-value is... O less than (or equal to) a O greater than a The p-value leads to a decision to... O reject the null O accept the null O fail to reject the null The conclusion is that... O There is not sufficient evidence to conclude product recognition between Texans and Californians is the same. O There is sufficient evidence to conclude product recognition between Texans and Californians is the same. O There is sufficient evidence to conclude there is a significant difference in product recognition between Texans and Californians. O There is not sufficient evidence to conclude there is a significant difference in product recognition between Texans and Californians.
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Author:Amos Gilat
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![### Product Recognition Study Analysis
#### Context
A marketing survey was conducted to evaluate product recognition in two different states: Texas and California. The sample consisted of:
- **Texans:** 366 individuals surveyed, of which 78 knew the product.
- **Californians:** 449 individuals surveyed, of which 64 knew the product.
The goal is to test whether there is a significant difference in the recognition rates between these two states at a significance level of 0.05.
#### Hypotheses
- **Null Hypothesis (\(H_0\)):** \( p_T = p_C \)
- The proportion of product recognition in Texas ( \( p_T \) ) is equal to that in California ( \( p_C \) ).
- **Alternative Hypothesis (\(H_a\)):** \( p_T \neq p_C \)
- The proportion of product recognition in Texas ( \( p_T \) ) is not equal to that in California ( \( p_C \) ).
#### Test Statistic
Participants are required to compute the test statistic using their data inputs. Enter the test statistic accurate to four decimal places:
```plaintext
test statistic = ____
```
#### p-value
Participants must also calculate the p-value from the test statistic above. Enter the p-value accurate to four decimal places:
```plaintext
p-value = ____
```
#### p-value Comparison
Compare the p-value to the significance level (\( \alpha = 0.05 \)) to check:
- \( \ \) If the p-value <= \( \alpha \)
- \( \ \) If the p-value > \( \alpha \)
#### Decision Rule
Based on the p-value:
- \( \ \) Reject the null hypothesis.
- \( \ \) Accept the null hypothesis.
- \( \ \) Fail to reject the null hypothesis.
#### Conclusion
From the decision made, conclude the findings:
- \( \ \) There is not sufficient evidence to conclude product recognition between Texans and Californians is the same.
- \( \ \) There is sufficient evidence to conclude product recognition between Texans and Californians is the same.
- \( \ \) There is sufficient evidence to conclude there is a significant difference in product recognition between Texans and Californians.
- \( \ \) There is not sufficient evidence to conclude there is a significant difference in product recognition between Texans and Californians.
This structured approach guides](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F48699ae0-6c1f-4889-b5a2-9929e5766b17%2F0bc6244b-cdb8-41eb-b09a-2a0eee7f35ca%2Feorvv3_processed.png&w=3840&q=75)
Transcribed Image Text:### Product Recognition Study Analysis
#### Context
A marketing survey was conducted to evaluate product recognition in two different states: Texas and California. The sample consisted of:
- **Texans:** 366 individuals surveyed, of which 78 knew the product.
- **Californians:** 449 individuals surveyed, of which 64 knew the product.
The goal is to test whether there is a significant difference in the recognition rates between these two states at a significance level of 0.05.
#### Hypotheses
- **Null Hypothesis (\(H_0\)):** \( p_T = p_C \)
- The proportion of product recognition in Texas ( \( p_T \) ) is equal to that in California ( \( p_C \) ).
- **Alternative Hypothesis (\(H_a\)):** \( p_T \neq p_C \)
- The proportion of product recognition in Texas ( \( p_T \) ) is not equal to that in California ( \( p_C \) ).
#### Test Statistic
Participants are required to compute the test statistic using their data inputs. Enter the test statistic accurate to four decimal places:
```plaintext
test statistic = ____
```
#### p-value
Participants must also calculate the p-value from the test statistic above. Enter the p-value accurate to four decimal places:
```plaintext
p-value = ____
```
#### p-value Comparison
Compare the p-value to the significance level (\( \alpha = 0.05 \)) to check:
- \( \ \) If the p-value <= \( \alpha \)
- \( \ \) If the p-value > \( \alpha \)
#### Decision Rule
Based on the p-value:
- \( \ \) Reject the null hypothesis.
- \( \ \) Accept the null hypothesis.
- \( \ \) Fail to reject the null hypothesis.
#### Conclusion
From the decision made, conclude the findings:
- \( \ \) There is not sufficient evidence to conclude product recognition between Texans and Californians is the same.
- \( \ \) There is sufficient evidence to conclude product recognition between Texans and Californians is the same.
- \( \ \) There is sufficient evidence to conclude there is a significant difference in product recognition between Texans and Californians.
- \( \ \) There is not sufficient evidence to conclude there is a significant difference in product recognition between Texans and Californians.
This structured approach guides
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