A study conducted by the research department of a pharmaceutical company claims that the annual spending (per person) for prescription drugs for allergy relief,  μ1 , is greater than or equal to the annual spending (per person) for non-prescription allergy relief medicine,  μ2 . A health insurance company conducted an independent study and collected data from a random sample of  225  individuals for prescription allergy relief medicine. The sample mean is found to be  17.6  dollars/year, with a sample standard deviation of  4.4  dollars/year. They have also collected data for non-prescription allergy relief medicine. An independent random sample of  220  individuals yielded a sample mean of  18.4  dollars/year, and a sample standard deviation of  3.8  dollars/year. Since the sample size is quite large, it is assumed that the population standard deviation of the sales (per person) for prescription and non-prescription allergy relief medicine can be estimated by using the sample standard deviation values given above. Is there sufficient evidence to reject the claim made by the research department of the company, at the  0.05  level of significance? Perform a one-tailed test.   The null hypothesis: H0:   The alternative hypothesis: H1:   The type of test statistic: (Choose one)ZtChi squareF             The value of the test statistic:(Round to at least three decimal places.)   The critical value at the  0.05  level of significance:(Round to at least three decimal places.)   Can we reject the claim that the mean spending on prescription allergy relief medication is greater than or equal to the mean spending on non-prescription allergy relief medication?   Yes     No

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A study conducted by the research department of a pharmaceutical company claims that the annual spending (per person) for prescription drugs for allergy relief, 

μ1

, is greater than or equal to the annual spending (per person) for non-prescription allergy relief medicine, 

μ2

. A health insurance company conducted an independent study and collected data from a random sample of 

225

 individuals for prescription allergy relief medicine. The sample mean is found to be 

17.6

 dollars/year, with a sample standard deviation of 

4.4

 dollars/year. They have also collected data for non-prescription allergy relief medicine. An independent random sample of 

220

 individuals yielded a sample mean of 

18.4

 dollars/year, and a sample standard deviation of 

3.8

 dollars/year. Since the sample size is quite large, it is assumed that the population standard deviation of the sales (per person) for prescription and non-prescription allergy relief medicine can be estimated by using the sample standard deviation values given above. Is there sufficient evidence to reject the claim made by the research department of the company, at the 

0.05

 level of significance? Perform a one-tailed test.

 
The null hypothesis:
H0:
 
The alternative hypothesis:
H1:
 
The type of test statistic: (Choose one)ZtChi squareF      
     
The value of the test statistic:
(Round to at least three decimal places.)
 
The critical value at the 
0.05
 level of significance:
(Round to at least three decimal places.)
 
Can we reject the claim that the mean spending on prescription allergy relief medication is greater than or equal to the mean spending on non-prescription allergy relief medication?
 
Yes
 
 
No
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