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Statistics for Business Study Set 3
Quiz 10: Inference About Means and Proportions With Two Populations
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Question 41
Multiple Choice
An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year.The results are shown below.
We are interested in determining if the accident proportions differ between the two age groups.Let p
u
represent the proportion under and p
o
the proportion over the age of 18.The null hypothesis is
Question 42
Multiple Choice
An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year.The results are shown below.
We are interested in determining if the accident proportions differ between the two age groups.The p-value is
Question 43
Multiple Choice
An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year.The results are shown below.
We are interested in determining if the accident proportions differ between the two age groups. The pooled estimator of the population proportion is
Question 44
Multiple Choice
Two major automobile manufacturers have produced compact cars with engines of the same size.We are interested in determining whether or not there is a significant difference in the mean MPG (miles per gallon) when testing for the fuel efficiency of these two brands of automobiles.A random sample of eight cars from each manufacturer is selected, and eight drivers are selected to drive each automobile for a specified distance.The following data (in miles per gallon) show the results of the test.Assume the population of differences is normally distributed.
The mean of the differences is
Question 45
Multiple Choice
In hypothesis tests about p
1
- p
2
, the pooled estimator of p is a(n)
Question 46
Multiple Choice
Regarding inferences about the difference between two population means, the sampling design that uses a pooled sample variance in cases of equal population standard deviations is based on