Exhibit 10-11
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.

Under Age of 18 Over Age of 18
n1 = 500 n2 = 600
Number of accidents = 180 Number of accidents = 150

We are interested in determining if the accident proportions differ between the two age groups

20.)Refer to Exhibit 10-11 and let pu represent the proportion under and po the proportion over the age of 18. The null hypothesis is
a. pu - po â?¤ 0
b. pu - po â?¥ 0
c. pu - po â? 0
d. pu - po = 0

21.)Refer to Exhibit 10-11. The pooled proportion is
a. 0.305
b. 0.300
c. 0.027
d. 0.450

22.)Refer to Exhibit 10-11. The test statistic is
a. 0.96
b. 1.96
c. 2.96
d. 3.96

Solution Summary

The solution provides answers to multiple choice questions on two sample z test for Proportion. Formula for the calculation and Interpretations of the results are also included.

True or False: The probability of Type I error is referred to as the significance level of the test.
True
False
A Type II error is defined as:
rejecting a true null hypothesis.
rejecting a false null hypothesis.
failing to reject a true null hypothesis.
f

A researcher believes that the percentage of people who exercise in California is greater than the national exercise rate. The national rate is 20%. The researcher gathers a random sample of 120 individuals who lives in CA and finds that the number who exercises regularly is 31 out of 120.
a. What is X2 obt?
b. What is the df

What is a test of a proportion and give an example.
What test do you use when one sample is small and the other large?
Explain the difference between testing one sample with a parameter and testing twosamples.
What are the likes and differences between the ttable and the z table?
When would you use a two pop

A market research agency would like to estimate the proportion of Canadian households owning a personal computer. What minimum sample size will be required if they want to be 99% confident that the sampleproportion will not differ from the true population proportion by more than 5%?

66% of students at a university live on campus. A random sample found that 20 of 40 male students and 40 of 50 of female students lived on campus. At the .05 level of significance, is there sufficient evidence to conclude that a difference exists between the proportion of male students who live on campus and the proportion of

What is the purpose of a hypothesis test? What goes in the null hypothesis and what goes in the alternate hypothesis? Why is it inappropriate to put a sample statistic in the hypothesis?
If you are testing the hypothesis
H0: population proportion is .5
H1: population proportion is not .5,
and you get .52 for the sample

1.Why would you use a small sample to draw inference about a large population?
Test of a single proportion:
2. What is the difference between a sample parameter (X-bar and s) and a proportion parameter (p)?
Test of two populations, large sample size (z-statistics)
3. When would you use two population test with a larg

A random sample of 145 recent donations at a certain blood bank reveals that 74 were type A blood. Does this suggest that the actual percentage of type A donors differs from 40%, the percentage of the population having type A blood? Carry out a test of the appropriate hypotheses using a significance level of 0.01.
Let p re

Roper ASW conducted a survey to learn about American adults' attitudes toward money and happiness. 56% of the respondents said they balance their checkbook at least once a month.
a. Suppose a sample of 400 American adults were taken. Show the sampling distribution of the proportion of adults who balance their checkbook at le