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a manager for an insurance company believes that customers have the following preferences for life insurance products: 50% prefer whole life, 20% prefer universal life, and 30% prefer life annuities. the results of a survey of 300 customers were tabulated. is it possible to refute the sales manager's claimed proportions of customers who prefer each product using the data?product number whole150universal60annuities90 step 1 of 10: state the null and alternative hypothesis.

Sagot :

There is sufficient evidence to to refute the sales manager's claimed proportions of customers who prefer each product using the data.

H0:p1=0.5,p2=0.3,p3=0.2

Ha:At least one proportion is different from the stated proportions.

Null hypothesis indicate that proportions are same as stated.

Product observed(fo) pi Expected(fe) (fo-fe)^2/fe

Whole 74 0.5 154.50 41.943

Universal 71 0.3 92.70 5.080

Annuities 164 0.2 61.80 169.010

Total 309 1 309 216.033

Expected value for the number of customers who prefer Whole Life=309*0.5=154.50

Expected value for the number of customers who prefer Universal Life=309*0.3=92.70

Test statistic:

Chi square=216.033

df=3-1=2

critical Chi square value=CHIINV(0.01,2)=9.210

Reject the null hypothesis

Therefore, There is sufficient evidence to to refute the sales manager's claimed proportions of customers who prefer each product using the data.

To learn more about proportions click here:

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