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Nordstrom in Mission Valley wants to determine whether there is a correlation between the amounts spent on local advertising by the store and the number of customers who shopped in the store over Christmas. The assumptions are met for the parametric test. Advertising budget in dollars (X) 1300 2000 4000 3500 Number of customers (Y) 235 315 450 436

Nordstrom in Mission Valley wants to determine whether there is a correlation between the amounts spent on local advertising by the store and the number of customers who shopped in the store over Christmas. The assumptions are met for the parametric test. Advertising budget in dollars (X) 1300 2000 4000 3500 Number of customers (Y) 235 315 450 436

MATLAB: An Introduction with Applications
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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F1 2 Nordstrom in Mission Valley wants to determine whether there is a correlation between the amounts spent on local advertising by the store and the number of customers who shopped in the store over Christmas. The assumptions are met for the parametric test. W S Advertising budget in dollars (X) F2 # 1300 3 2000 4000 3500 6500 5000 4400 3500 4000 F3 $ Number of customers (Y) 4 R Q F4 F Compute the Person correlation to measure the degree of the relationship and report your findings. Step 4: Make a decision Our obtained value is (write: smaller or larger) the null hypothesis. Based on our sample, there is a (write: weak, medium, or strong) and the number of customers 235 % R LO 5 315 450 436 483 575 387 243 412 F5 G 6 F6 than our critical value, so we can (write reject or fail to reject) H F7 positive relationship between advertising budget 8 DII F8 9 F9 0 K || 0 F10 F12
Transcribed Image Text:F1 2 Nordstrom in Mission Valley wants to determine whether there is a correlation between the amounts spent on local advertising by the store and the number of customers who shopped in the store over Christmas. The assumptions are met for the parametric test. W S Advertising budget in dollars (X) F2 # 1300 3 2000 4000 3500 6500 5000 4400 3500 4000 F3 $ Number of customers (Y) 4 R Q F4 F Compute the Person correlation to measure the degree of the relationship and report your findings. Step 4: Make a decision Our obtained value is (write: smaller or larger) the null hypothesis. Based on our sample, there is a (write: weak, medium, or strong) and the number of customers 235 % R LO 5 315 450 436 483 575 387 243 412 F5 G 6 F6 than our critical value, so we can (write reject or fail to reject) H F7 positive relationship between advertising budget 8 DII F8 9 F9 0 K || 0 F10 F12
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