Please review Section 11.1. Are you an impulse shopper? A survey of 800 grocery shoppers indicated that 36% of males and 42% of females make an impulse purchase every time they shop. Assume that the survey consisted of 400 males and 400 females. Let group 1 be the males and let group 2 be the females. a - 0.01 H, - Calculate the test statistic: (Round to three decimal places as needed.) Determine the critical value: (Round to three decimal places as needed.) State the Concluslon:
Please review Section 11.1. Are you an impulse shopper? A survey of 800 grocery shoppers indicated that 36% of males and 42% of females make an impulse purchase every time they shop. Assume that the survey consisted of 400 males and 400 females. Let group 1 be the males and let group 2 be the females. a - 0.01 H, - Calculate the test statistic: (Round to three decimal places as needed.) Determine the critical value: (Round to three decimal places as needed.) State the Concluslon:
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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![### Problem #5: Students with the Last Name of U-Z
#### Impulse Shopping Analysis
Please review Section 11.1. Are you an impulse shopper? A survey of 800 grocery shoppers indicated that 36% of males and 42% of females make an impulse purchase every time they shop. Assume that the survey consisted of 400 males and 400 females. Let group 1 be the males and let group 2 be the females.
#### Hypotheses
- \( \alpha = 0.01 \)
- \( H_0: \pi_1 = \pi_2 \)
- \( H_1: \pi_1 \neq \pi_2 \)
**Calculate the test statistic:** (Round to three decimal places as needed.)
**Determine the critical value:** (Round to three decimal places as needed.)
**State the Conclusion:**
---
#### Real Estate Analysis
Please review Section 12.2. An agent for a residential real estate company in a suburb located outside a major city has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward this goal, the agent would like to use the size of an apartment, as defined by square footage, to predict the monthly rental cost. The agent selects a sample of eight one-bedroom apartments and the data are shown.
**Data Table:**
| Size (Square Feet) | Monthly Rent ($) |
|--------------------|------------------|
| 850 | 875 |
| 1100 | 1,250 |
| 1,350 | 1,600 |
| 1,350 | 1,850 |
| 1,700 | 1,925 |
| 1,800 | 1,925 |
| 1,850 | 1,900 |
| 1,900 | 2,000 |
**Instructions:**
Construct a scatterplot. Size is the x-value and Monthly Rent is the y-value. You can hand-draw or use technology; label appropriately.
Use the least-squares method to determine the regression coefficients. If you use technology, include the document or screen shots.
- \( b_0 = \) (Round to one decimal place as needed.)
- \( b_1 = \) (Round to one decimal place as needed.)
**Note:** See the attached PDF file for the](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F03662e3d-84e9-460d-a6b7-a6b121e75a5c%2Fd869c494-b2b4-4926-b701-acf5f0bbd019%2F3q548yj_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Problem #5: Students with the Last Name of U-Z
#### Impulse Shopping Analysis
Please review Section 11.1. Are you an impulse shopper? A survey of 800 grocery shoppers indicated that 36% of males and 42% of females make an impulse purchase every time they shop. Assume that the survey consisted of 400 males and 400 females. Let group 1 be the males and let group 2 be the females.
#### Hypotheses
- \( \alpha = 0.01 \)
- \( H_0: \pi_1 = \pi_2 \)
- \( H_1: \pi_1 \neq \pi_2 \)
**Calculate the test statistic:** (Round to three decimal places as needed.)
**Determine the critical value:** (Round to three decimal places as needed.)
**State the Conclusion:**
---
#### Real Estate Analysis
Please review Section 12.2. An agent for a residential real estate company in a suburb located outside a major city has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward this goal, the agent would like to use the size of an apartment, as defined by square footage, to predict the monthly rental cost. The agent selects a sample of eight one-bedroom apartments and the data are shown.
**Data Table:**
| Size (Square Feet) | Monthly Rent ($) |
|--------------------|------------------|
| 850 | 875 |
| 1100 | 1,250 |
| 1,350 | 1,600 |
| 1,350 | 1,850 |
| 1,700 | 1,925 |
| 1,800 | 1,925 |
| 1,850 | 1,900 |
| 1,900 | 2,000 |
**Instructions:**
Construct a scatterplot. Size is the x-value and Monthly Rent is the y-value. You can hand-draw or use technology; label appropriately.
Use the least-squares method to determine the regression coefficients. If you use technology, include the document or screen shots.
- \( b_0 = \) (Round to one decimal place as needed.)
- \( b_1 = \) (Round to one decimal place as needed.)
**Note:** See the attached PDF file for the
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