A marketing firm wants to know if there is a difference in the best marketing strategy for new customers compared to returning customers. In order to determine the relationship between marketing strategy and customer type, the following information on number of sales generated is obtained for each group. Is there sufficient evidence at the 0.10 level of significance to conclude that an association exists between marketing strategy and customer type? Observed Sample of Customers Paid Social Web Total search Media retargeting New customer 140 169 164 473 Returning 166 141 149 456 customer Total 306 310 313 929 Copy Data Step 2 of 4: Calculate the expected value for the number of sales generated by the paid search strategy for returning customers. Round your answer to six decimal places. Answer E Tables E Keypad Keyboard Shortcuts Ereturning and paid search =
A marketing firm wants to know if there is a difference in the best marketing strategy for new customers compared to returning customers. In order to determine the relationship between marketing strategy and customer type, the following information on number of sales generated is obtained for each group. Is there sufficient evidence at the 0.10 level of significance to conclude that an association exists between marketing strategy and customer type? Observed Sample of Customers Paid Social Web Total search Media retargeting New customer 140 169 164 473 Returning 166 141 149 456 customer Total 306 310 313 929 Copy Data Step 2 of 4: Calculate the expected value for the number of sales generated by the paid search strategy for returning customers. Round your answer to six decimal places. Answer E Tables E Keypad Keyboard Shortcuts Ereturning and paid search =
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![A marketing firm wants to know if there is a difference in the best marketing strategy for new customers compared to returning customers. In order to determine the relationship between marketing strategy and customer type, the following information on number of sales generated is obtained for each group. Is there sufficient evidence at the 0.10 level of significance to conclude that an association exists between marketing strategy and customer type?
**Observed Sample of Customers**
| | Paid Search | Social Media | Web Retargeting | Total |
|-----------------------|-------------|--------------|-----------------|-------|
| New Customer | 140 | 169 | 164 | 473 |
| Returning Customer | 166 | 141 | 149 | 456 |
| Total | 306 | 310 | 313 | 929 |
**Step 2 of 4:** Calculate the expected value for the number of sales generated by the paid search strategy for returning customers. Round your answer to six decimal places.
\[E_{\text{returning and paid search}} = \]
---
This table presents data on the number of sales generated by each marketing strategy for new and returning customers. The objective is to analyze whether there is a significant association between the type of customer and the marketing strategy used at the 0.10 level of significance.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0effa018-95f4-43af-8a60-b2be877a4826%2Fa89b9808-077f-4ba5-b26a-e9c17b585106%2Fx4raxc_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A marketing firm wants to know if there is a difference in the best marketing strategy for new customers compared to returning customers. In order to determine the relationship between marketing strategy and customer type, the following information on number of sales generated is obtained for each group. Is there sufficient evidence at the 0.10 level of significance to conclude that an association exists between marketing strategy and customer type?
**Observed Sample of Customers**
| | Paid Search | Social Media | Web Retargeting | Total |
|-----------------------|-------------|--------------|-----------------|-------|
| New Customer | 140 | 169 | 164 | 473 |
| Returning Customer | 166 | 141 | 149 | 456 |
| Total | 306 | 310 | 313 | 929 |
**Step 2 of 4:** Calculate the expected value for the number of sales generated by the paid search strategy for returning customers. Round your answer to six decimal places.
\[E_{\text{returning and paid search}} = \]
---
This table presents data on the number of sales generated by each marketing strategy for new and returning customers. The objective is to analyze whether there is a significant association between the type of customer and the marketing strategy used at the 0.10 level of significance.
![A marketing firm wants to determine if there is a difference in the effectiveness of marketing strategies for new versus returning customers. The table below shows the observed number of sales generated through different marketing strategies for each customer type. The firm seeks to assess if there is a significant association between marketing strategy and customer type at the 0.10 significance level.
### Observed Sample of Customers
| | Paid Search | Social Media | Web Retargeting | Total |
|-------------------------|-------------|--------------|-----------------|-------|
| **New Customer** | 140 | 169 | 164 | 473 |
| **Returning Customer** | 166 | 141 | 149 | 456 |
| **Total** | 306 | 310 | 313 | 929 |
**Step 1 of 4**: Calculate the expected value for the number of sales generated by the social media strategy for new customers. Round your answer to six decimal places.
**Equation for expected value:**
\[ E_{\text{new and social media}} = \]
For calculations, you would use the formula for expected frequency in contingency tables:
\[ E_{\text{new and social media}} = \frac{(\text{Total New Customer Sales}) \times (\text{Total Social Media Sales})}{\text{Grand Total Sales}} \]
Insert the values as needed.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0effa018-95f4-43af-8a60-b2be877a4826%2Fa89b9808-077f-4ba5-b26a-e9c17b585106%2Fugf2fer_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A marketing firm wants to determine if there is a difference in the effectiveness of marketing strategies for new versus returning customers. The table below shows the observed number of sales generated through different marketing strategies for each customer type. The firm seeks to assess if there is a significant association between marketing strategy and customer type at the 0.10 significance level.
### Observed Sample of Customers
| | Paid Search | Social Media | Web Retargeting | Total |
|-------------------------|-------------|--------------|-----------------|-------|
| **New Customer** | 140 | 169 | 164 | 473 |
| **Returning Customer** | 166 | 141 | 149 | 456 |
| **Total** | 306 | 310 | 313 | 929 |
**Step 1 of 4**: Calculate the expected value for the number of sales generated by the social media strategy for new customers. Round your answer to six decimal places.
**Equation for expected value:**
\[ E_{\text{new and social media}} = \]
For calculations, you would use the formula for expected frequency in contingency tables:
\[ E_{\text{new and social media}} = \frac{(\text{Total New Customer Sales}) \times (\text{Total Social Media Sales})}{\text{Grand Total Sales}} \]
Insert the values as needed.
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