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.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

0

### 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
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
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Point Estimation, Limit Theorems, Approximations, and Bounds
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman