Question Country Financial, a financial services company, uses surveys of adults age 18 and older to determine if personal financial fitness is changing over time (USA Today, April 4, 2012). In February 2012, a sample of 1000 adults showed 410 indicating that their financial security was more than fair. In February 2010, a sample of 900 adults showed 315 indicating that their financial security was more than fair. State the hypotheses that can be used to test for a significant difference between the population proportions for the two years. What is the sample proportion indicating that their financial security was more than fair in 2012? In 2010? Conduct the hypothesis test and compute the p-value. At a .05 level of significance, what is your conclusion? What is the 95% confidence interval estimate of the difference between the two population proportions?

MARKETING 2018
19th Edition
ISBN:9780357033753
Author:Pride
Publisher:Pride
Chapter6: Target Markets: Segmentation And Evaluation
Section: Chapter Questions
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So i apologize for not specifiying which of the four I want done on the question below. In my last response from whoever ansewrs these he made it pretty clear to do that and I didn't know. Im relativley new to this so wont happen again. For the quesiton below please ansewr 3 and 4. Thanks a lot. 

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Country Financial, a financial services company, uses surveys of adults age 18 and older to determine if personal financial fitness is changing over time (USA Today, April 4, 2012). In February 2012, a sample of 1000 adults showed 410 indicating that their financial security was more than fair. In February 2010, a sample of 900 adults showed 315 indicating that their financial security was more than fair.

  1. State the hypotheses that can be used to test for a significant difference between the population proportions for the two years.
  2. What is the sample proportion indicating that their financial security was more than fair in 2012? In 2010?
  3. Conduct the hypothesis test and compute the p-value. At a .05 level of significance, what is your conclusion?
  4. What is the 95% confidence interval estimate of the difference between the two population proportions?
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