Based on past data, the producers of Ice Mountain bottled water
knew that the proportion of people who preferred Ice Mountain to
tap water was 0.71. To see how consumer perception of their product
changed, they decided to conduct a survey. Of the 134 respondents,
97 indicated that they preferred Ice Mountain to the tap water in
their homes. The 90% confidence interval for this proportion is (
0.6604 , 0.7874 ). What is the best conclusion of those listed
below?
Question 4 options:

1)

The confidence interval does not provide enough information to
form a conclusion. 


2)

The proportion of consumers who prefer Ice Mountain is 0.71
with 90% confidence. 


3)

We can not conclude that the proportion of consumers who prefer
Ice Mountain to their tap water differs from 0.71. 


4)

We can claim that the proportion of consumers who prefer Ice
Mountain to their tap water is smaller than 0.71. 


5)

We can claim that the proportion of consumers who prefer Ice
Mountain to their tap water is larger than 0.71. 

Your friend tells you that the proportion of active Major League
Baseball players who have a batting average greater than .300 is
different from 0.77, a claim you would like to test. If you conduct
a hypothesis test, what will the null and alternative hypotheses
be?
Question 5 options:

1)

H_{O}: p > 0.77
H_{A}: p ≤ 0.77 


2)

H_{O}: p = 0.77
H_{A}: p ≠ 0.77 


3)

H_{O}: p ≠ 0.77
H_{A}: p = 0.77 


4)

H_{O}: p ≥ 0.77
H_{A}: p < 0.77 


5)

H_{O}: p ≤ 0.77
H_{A}: p > 0.77 

You hear on the local news that for the city of Kalamazoo, the
proportion of people who support President Obama is 0.69. However,
you think it is less than 0.69. If you conduct a hypothesis test,
what will the null and alternative hypotheses be?
Question 6 options:

1)

H_{O}: p > 0.69
H_{A}: p ≤ 0.69 


2)

H_{O}: p ≤ 0.69
H_{A}: p > 0.69 


3)

H_{O}: p ≥ 0.69
H_{A}: p < 0.69 


4)

H_{O}: p = 0.69
H_{A}: p ≠ 0.69 


5)

H_{O}: p < 0.69
H_{A}: p ≥ 0.69 

As of 2012, the proportion of students who use a MacBook as
their primary computer is 0.42. You believe that at your university
the proportion is actually less than 0.42. The hypotheses for this
test are Null Hypothesis: p ≥ 0.42, Alternative Hypothesis: p <
0.42. If you randomly select 23 students in a sample and 11 of them
use a MacBook as their primary computer, what is your test
statistic and pvalue?
Question 7 options:

1)

Test Statistic: 0.566, PValue: 0.286 


2)

Test Statistic: 0.566, PValue: 0.714 


3)

Test Statistic: 0.566, PValue: 0.714 


4)

Test Statistic: 0.566, PValue: 1.428 


5)

Test Statistic: 0.566, PValue: 0.286 
