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Introductory Statistics Explained (1.11)
Exercises
Inference for Proportions
©
2022, 2023, 2024 Jeremy Balka
Chapter 11: Inference for one or two proportions. v1.11 W24 Draft
J.B.’s strongly suggested exercises:
2
,
5
,
6
,
8
,
10
,
12
,
16
,
17
,
19
,
20
,
24
,
25
,
26
,
27
NB The section titles and numbers are not yet synced up with the text.
1
Introduction
2
The Sampling Distribution of
ˆ
p
1. What are the mean and variance of the sampling distribution of
ˆ
p
?
2. For what values of
n
and
p
does the normal approximation to the distribution of
ˆ
p
work best? For
what values of
n
and
p
is the normal approximation very poor?
3
Confidence Intervals and Hypothesis Tests for the Popula-
tion Proportion
p
3. When do we create a confidence interval for
ˆ
p
?
4. A random sample of 200 observations from a population revealed that 62 individuals had a certain
characteristic.
(a) What is
ˆ
p
?
(b) What is
SE
(ˆ
p
)
?
(c) What is a 95% confidence interval for
p
?
(d) If we wish to test the null hypothesis that
p
= 0
.
5
, what is
SE
0
(ˆ
p
)
?
(e) What is the value of the appropriate test statistic?
5. In each of the following scenarios, state if it is reasonable to use the normal approximation to calculate
a confidence interval for
p
. (Use the
n
ˆ
p
≥
15
, n
(1
-
ˆ
p
)
≥
15
guideline.)
(a)
ˆ
p
= 0
.
70
,
n
= 10
.
(b)
ˆ
p
= 0
.
70
,
n
= 200
.
(c)
ˆ
p
= 0
.
99
,
n
= 200
.
1
Best
n
is
large
Das
worst
nis
small
p
close
to 0
or
1
Nevercan
only
do
CI
for
parameters
up
to
0.7
7
nil
p
roll
on
3
not
both
is
so
donot use
normal
approx
(d)
ˆ
p
= 0
.
01
,
n
=
10,000.
(e)
ˆ
p
= 0
,
n
= 200
.
6. A study
1
of births in Liverpool, UK, investigated a possible relationship between parental smoking
status during pregnancy and the likelihood of a male birth.
In one part of the study, researchers
drew a sample of 363 births in which both parents were heavy smokers during the pregnancy. Of the
363 babies born to these couples, 158 were male. Suppose we wish to construct a 95% confidence
interval for the population proportion of male births to heavy-smoking parents in Liverpool.
(a) What does
p
represent in this case?
(b) What is the point estimate of
p
?
(c) Is it reasonable to use large sample methods to calculate a confidence interval for
p
here?
(d) What is the standard error of the sample proportion?
(e) What is a 95% confidence interval for
p
?
(f) Give an interpretation of the 95% confidence interval for
p
.
(g) Test the null hypothesis that the population proportion of male births to heavy-smoking parents
is 0.50, against a two sided alternative. Give appropriate hypotheses, standard error, value of
the test statistic,
p
-value, and conclusion at
↵
= 0
.
05
.
(h) To what population do your conclusions apply?
4
Determining the Minimum Sample Size
n
7. Find the minimum sample size required in each of the following situations.
(a) We wish to estimate
p
within 0.03 with 95% confidence, and we have no reasonable estimate of
p
beforehand.
(b) We wish to estimate
p
within 0.03 with 95% confidence, and from prior information we feel
strongly that
p
is approximately 0.20.
(c) We wish to estimate
p
within 0.01 with 90% confidence, and we have no reasonable estimate of
p
beforehand.
(d) We wish to estimate
p
within 0.01 with 99% confidence, and we have no reasonable estimate of
p
beforehand.
(e) We wish to estimate
p
within 0.01 with 99% confidence, and we know for certain that
p
lies
between 0.1 and 0.2.
5
Inference Procedures for the Di
ff
erence Between Two Pop-
ulation Proportions
5.1
The Sampling Distribution of
ˆ
p
1
-
ˆ
p
2
5.2
Confidence Intervals and Hypothesis Tests for
p
1
-
p
2
8. In words, what is the meaning of
SE
(ˆ
p
1
-
ˆ
p
2
)
?
9. A random sample of 400 observations from population 1 revealed that 82 individuals had a certain
characteristic. A random sample of 400 observations from population 2 revealed that 104 individuals
had that characteristic.
1
Koshy et al. (2010). Parental smoking and increased likelihood of female births.
Annals of Human Biology
, 37(6):789–800.
np
o
so
100000000
g
178
Effort
gg
male
births
to
smokers
in
Liverpool
in
time
frame
or
study
tassen
s
on
t's
Ho
p
as
Ha
p
prove
normal
2.48111
2
I
I
I
(a) What are the values of
ˆ
p
1
and
ˆ
p
2
?
(b) What is
SE
(ˆ
p
1
-
ˆ
p
2
)
?
(c) Calculate a 95% confidence interval for
p
1
-
p
2
.
(d) Test the null hypothesis that the population proportions are equal, against a two-sided alter-
native hypothesis.
Give appropriate hypotheses, value of the pooled proportion
ˆ
p
, value of
the standard error, test statistic and
p
-value.
Is there significant evidence against the null
hypothesis at
↵
= 0
.
05
?
10. Much research has gone into studying how homing pigeons are able to navigate to their home loft
from an unfamiliar release point, but the precise mechanisms are still unknown. It is known that
homing pigeons can detect the earth’s magnetic field, and that is likely a contributing factor in their
ability to navigate. A study
2
investigated this in an experiment involving 77 homing pigeons. The
pigeons were randomly divided into a magnetic pulse group (group M) and a control group (group
C). The 38 control group pigeons were released at a location 106 km from the home loft, and 22
found their way home.
The 39 members of the magnetic pulse group received a strong magnetic
pulse (perpendicular to the earth’s magnetic field) before being released from the same location.
Twenty-one of the 39 magnetic pulse group pigeons made it back to the home loft.
(a) Calculate a 95% confidence interval for the di
ff
erence between the population proportion of
pigeons that navigate home after being subjected to the magnetic pulse, and the population
proportion for the control group. (Hint to ease the calculation burden:
SE
(ˆ
p
M
-
ˆ
p
C
) = 0
.
1131
.)
(b) Give an appropriate interpretation of the interval found in
10a
.
(c) Perform a hypothesis test of the null hypothesis that the two groups have the same likeli-
hood of making it back to their home loft.
Give appropriate hypotheses, value of the test
statistic,
p
-value, and conclusion.
(One could make an argument for the one-sided alterna-
tive hypothesis that the magnetic pulse reduces the probability of a pigeon arriving home, but
play it safe and use a two-sided alternative hypothesis.) (Hint to ease the calculation burden:
SE
0
(ˆ
p
M
-
ˆ
p
C
) = 0
.
1132
.)
6
Chapter Exercises
6.1
Basic Calculations
11. Calculate the
p
-value in the following situations.
(a)
H
0
:
p
= 0
.
3
,
H
a
:
p >
0
.
3
,
Z
=
-
1
.
40
.
(b)
H
0
:
p
= 0
.
3
,
H
a
:
p <
0
.
3
,
Z
=
-
1
.
40
.
(c)
H
0
:
p
= 0
.
3
,
H
a
:
p
6
= 0
.
3
,
Z
=
-
1
.
40
.
(d)
H
0
:
p
= 0
.
6
,
H
a
:
p <
0
.
6
,
Z
=
-
1
.
88
.
(e)
H
0
:
p
= 0
.
6
,
H
a
:
p
6
= 0
.
6
,
Z
=
-
1
.
88
.
6.2
Concepts
12. What is the di
ff
erence in meaning of the symbols
ˆ
p
and
p
?
13. Would it ever make sense to test
H
0
:
ˆ
p
= 0
.
25
?
14. What is the meaning of the term
SE
(ˆ
p
)
? Does the term
SE
(
p
)
have a similar meaning?
2
Holland et al. (2013). A magnetic pulse does not a
ff
ect homing pigeon navigation: a gps tracking experiment.
The Journal
of Experimental Biology
, 216:2192–2200.
Pc
22138
0
s.IE.IE
iEiiE
i
ii
ii
iii
iii
iii
iii
iiiiiii.fi
no
evidence
be
small
prime
iii
iii
iii
p.si
proportion
p
the
pñ
portion
for
entire
population
ly
Nowe
test
hypothesis
about
parameters
not
statistics
estima
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15. In each of the following scenarios, state whether using the normal approximation to carry out a
hypothesis test is reasonable. (Use the
np
0
≥
15
, n
(1
-
p
0
)
≥
15
guideline.)
(a)
H
0
:
p
= 0
.
20
,
n
= 10
.
(b)
H
0
:
p
= 0
.
20
,
n
= 200
.
(c)
H
0
:
p
= 0
.
9980
,
n
= 10
.
(d)
H
0
:
p
= 0
.
9980
,
n
=
1,000.
(e)
H
0
:
p
= 0
.
9980
,
n
=
100,000.
16. An Ipsos-Reid poll asked Canadians whether schools in their community have become “less safe”
than they were five years ago. Fifty percent of the respondents said schools were less safe than 5
years ago. The corresponding confidence interval for
p
was found to be
(0
.
46
,
0
.
54)
.
There are some potential sources of bias in surveys like this one. For example, the question could
be biased (e.g. “With the increase in violent behaviour, schools have become less safe, wouldn’t you
agree?”) The folks at Ipsos are professionals, and wouldn’t give questions this blatantly biased. But
if our hope is to estimate the proportion of
all
Canadians who
feel
that schools have becomes less
safe, what are some other potential sources of bias?
17. Test your conceptual understanding: Which of the following statements are true?
You should be
able to explain
why
a statement is true or
why
a statement is false.
(a)
ˆ
p
is an unbiased estimator of
p
.
(b) When
n <
30
we should use the
t
distribution when calculating confidence intervals for
p
.
(c) The true distribution of
ˆ
p
is based on the binomial distribution.
(d) The true standard deviation of the sampling distribution of
ˆ
p
depends on the value of
p
.
(e) The sampling distribution of
ˆ
p
is perfectly normal for large sample sizes.
18. Test your conceptual understanding: Which of the following statements are true?
You should be
able to explain
why
a statement is true or
why
a statement is false.
(a) The normal approximation to the sampling distribution of
ˆ
p
works best when we have a large
sample size and
p
= 0
.
5
.
(b) The sampling distribution of
ˆ
p
becomes more normal as
p
tends to 1.
(c) The sampling distribution of
p
is approximately normal for large sample sizes.
(d) All else being equal, the value of
SE
(ˆ
p
)
decreases as the sample size increases.
(e) In repeated sampling, exactly 95% of 95% confidence intervals for
p
will capture
p
.
6.3
Applications
19. Consider again the information in Question
10
. In part of the experiment, 38 control group pigeons
were released from an unfamiliar site 106 km from their home loft, and 22 of these pigeons were
able to successfully navigate home. Suppose we wish to construct a confidence interval for the true
proportion of control group pigeons that will find their way to their home loft (under the conditions
of the study).
(a) What does
p
represent in this case?
(b) What is the point estimate of
p
?
(c) Is it reasonable to use large sample methods to calculate a confidence interval for
p
here?
(d) What is the standard error of the sample proportion?
(e) What is a 95% confidence interval for
p
?
phone
accessibility
doesnt
incural
to
that
mug
up
a
III
onus
T
sine
Eli
P
p
m
binomial
diff
f
ftp.npfd
P
F
itsan
approximation
me
proportion
ofthis
type
of
pigeon
under
these
conditions
F
2238
0.5789
22
is
so
yes
SE
E
as.IE
I
i
0.42
o.nu
(f) Give a proper interpretation of the 95% confidence interval.
(g) Suppose that, before the study was conducted, a scientist claimed that the true proportion of
control group pigeons that would navigate back to their home loft would be no more than 0.25.
Does this study yield strong evidence against this scientist’s claim? Test the null hypothesis
that the population proportion is 0.25, against the appropriate alternative hypothesis.
Give
appropriate hypotheses, standard error, value of the test statistic,
p
-value, and conclusion.
20. Seat belt marks (bruising) on the body are sometimes used as evidence that a person was wearing a
seat belt during a car crash. A study
3
investigated seat belt marks in victims of fatal car crashes in
Sydney, Australia. (The authors looked only at cases where there was no airbag deployment.) In 74
fatalities in which the victim was wearing a seat belt, 27 victims showed seat belt marks.
(a) What does
p
represent in this case?
(b) What is the point estimate of
p
?
(c) Is it reasonable to use large sample methods to calculate a confidence interval for
p
here?
(d) What is the standard error of the sample proportion?
(e) What is a 95% confidence interval for
p
?
(f) Give an appropriate interpretation of the confidence interval for
p
.
(g) Is there a hypothesis that should be tested here?
21. A study
4
investigated various characteristics of Finnish murders. In one part of the study, a random
sample of 91 Finnish male convicted murderers was drawn (there was a single murder in each case).
Twenty-four of these 91 murders were of the o
ff
ender’s domestic partner. Suppose we wish to esti-
mate the true proportion of murders that are of the domestic partner of the o
ff
ender (for murders
committed by males).
(a) What does
p
represent in this case?
(b) What is the point estimate of
p
?
(c) Is it reasonable to use large sample methods to calculate a confidence interval for
p
here?
(d) What is the standard error of the sample proportion?
(e) What is a 95% confidence interval for
p
?
(f) Give an interpretation of the 95% confidence interval for
p
.
(g) Suppose it was previously believed that in 40% of murders committed by a Finnish male,
the victim was the o
ff
ender’s domestic partner. Test the null hypothesis that the population
proportion is 0.40, against a two sided alternative. Give appropriate hypotheses, standard error,
value of the test statistic,
p
-value, and conclusion at
↵
= 0
.
05
.
(h) To what population do the conclusions apply?
22. In another aspect of the study of Finnish murders first discussed in Question
21
, researchers drew
random samples of murders committed by males and murders committed by females. Of 91 murders
committed by a female, in 32 cases the victim was their domestic partner. Of 91 murders committed
by a male, in 24 cases the victim was their domestic partner.
(a) Calculate a 90% confidence interval for the di
ff
erence in the population proportions between
female and male murderers. (Hint to ease the calculation burden:
SE
(ˆ
p
F
-
ˆ
p
M
) = 0
.
0681
.)
(b) Give an appropriate interpretation of the interval found in
22a
.
3
Chase et al. (2007). Safety restraint injuries in fatal motor vehicle collisions.
Forensic Science, Medicine, and Pathology
,
3:258–263.
4
Häkkänen et al. (2009).
Gender di
ff
erences in Finnish homicide o
ff
ence characteristics.
Forensic Science International
,
186:75–80
joiiiiitwou.tt
navigate
back
lies
between
0.42o.nu
(c) Perform a hypothesis test of the null hypothesis that, in Finnish murders, the proportion of
victims that are the domestic partner of the o
ff
ender is the same for male and female o
ff
enders,
against the alternative that these proportions are di
ff
erent. Give appropriate hypotheses, value
of the test statistic,
p
-value, and conclusion at the 5% level of significance. (Hint to ease the
calculation burden:
SE
0
(ˆ
p
F
-
ˆ
p
M
) = 0
.
0684
.)
23. A study
5
at a medical clinic in Iran investigated a possible association between peptic ulcers and a
variety of factors. The study involved a sample of 60 peptic ulcer su
ff
erers from a medical clinic, and
a sample of 44 apparently healthy volunteers to serve as the control group. In one part of the study,
the authors investigated a possible di
ff
erence between the groups in their Lewis B (Le
b
) blood group
antigen expression. (Previous studies had shown a possible relationship between Le
b
expression and
a mechanism for peptic ulcers.)
Forty-three of the 60 peptic ulcer su
ff
erers had Le
b
expression.
Twenty-seven of the 44 control group members had Le
b
expression.
(a) Calculate a 95% confidence interval for the di
ff
erence in the population proportions between
peptic ulcer patients and the control group. (Hint to ease the calculation burden:
SE
(ˆ
p
U
-
ˆ
p
C
) =
0
.
0937
.)
(b) Give an appropriate interpretation of the interval found in
23a
.
(c) Perform a hypothesis test of the null hypothesis that the proportion of individuals with Le
b
expression is the same for the two groups, against the alternative hypothesis that the proportions
are di
ff
erent. Give appropriate hypotheses, value of the test statistic,
p
-value, and conclusion
at the 5% level of significance. (Hint to ease the calculation burden:
SE
0
(ˆ
p
U
-
ˆ
p
C
) = 0
.
0931
.)
24. Consider again the study first discussed in Question
6
, which investigated a possible relationship
between parental smoking status during pregnancy and the likelihood of a male birth. Of 363 births
in which both parents were heavy smokers during the pregnancy, 158 of the babies were male. Of
the 5045 births in which both parents were non-smokers during the pregnancy, 2685 of the babies
were male.
(a) Calculate a 95% confidence interval for the di
ff
erence between the population proportion of male
births for heavy-smoking parents, and the population proportion of male births for non-smoking
parents. (Hint to ease the calculation burden:
SE
(ˆ
p
H
-
ˆ
p
N
) = 0
.
0270
.)
(b) Give an appropriate interpretation of the interval found in
24a
.
(c) Perform a hypothesis test of the null hypothesis that the male birth rate is the same for both
heavy-smoking and non-smoking parents. Give appropriate hypotheses, value of the test statis-
tic,
p
-value, and conclusion at the 5% level of significance. (Hint to ease the calculation burden:
SE
0
(ˆ
p
H
-
ˆ
p
N
) = 0
.
0271
.)
(d) To what population do your conclusions apply?
Do the results of this study imply strong
evidence that parents smoking
cause
a decrease in the proportion of male births?
25. Does a pleasant ambient fragrance increase the success rate of a courtship request?
A study
6
in-
vestigated this question by having a good-looking 20 year-old man approach 18-25 year-old women
walking alone in a mall. On 200 occasions, the man approached as the woman was walking in an
area of “pleasant ambient odours (e.g., pastries)”, and on 200 occasions he approached in an area of
no odour. In every case, the man approached the woman, made a brief scripted statement including
a compliment, and then asked for the woman’s phone number. Of the 200 cases in areas of pleasant
ambient odour, 46 women gave their phone number. Of the 200 cases in areas of no ambient odour,
27 women gave their phone number.
5
Mahdavi et al. (2013). Is there any relationship between leb antigen expression and
Helicobacter pylori
infection?
Blood
Cells, Molecules and Diseases
, 51:174–176.
6
Guéguen et al. (2012). The sweet smell of. courtship: E
ff
ects of pleasant ambient fragrance on womenÕs receptivity to a
manÕs courtship request.
Journal of Environmental Psychology
, 32:123–125
I
461200
0.23
PI
27
200
0.0135
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(a) Calculate a 95% confidence interval for the di
ff
erence between the success rate in areas with a
pleasant fragrance and the success rate in areas with no odour (
p
F
-
p
C
) . (Hint to ease the
calculation burden:
SE
(ˆ
p
F
-
ˆ
p
C
) = 0
.
0383
.)
(b) Give an appropriate interpretation of the interval found in
25a
.
(c) Perform a hypothesis test of the null hypothesis that the likelihood of getting a phone num-
ber is the same in both areas.
Give appropriate hypotheses, value of the test statistic,
p
-
value, and conclusion at the 5% level of significance.
(Hint to ease the calculation burden:
SE
0
(ˆ
p
F
-
ˆ
p
C
) = 0
.
0386
.)
26. Part of the Salk polio vaccine trials in 1954 involved a massive double blind randomized experiment,
in which approximately 400,000 elementary school children were randomly assigned to either the
Salk polio vaccine or a placebo group. The results:
Placebo
Vaccine
Polio
160
86
No polio
200270
199661
Total
200430
199747
(The counts have been slightly modified from the original data.)
(a) Let
p
p
represent the population proportion of those in the placebo group that would develop
polio under these conditions, and
p
v
represent the population proportion of those in the vaccine
group that would develop polio under these conditions.
What is the point estimate of the
di
ff
erence in the population proportions? (What is the point estimate of
p
p
-
p
v
?)
(b) If we wish to test the null hypothesis that the population proportions are equal, what is the
value of the appropriate
Z
test statistic? (Hint to ease the calculation burden:
SE
0
(ˆ
p
p
-
ˆ
p
v
) =
0
.
00007836327
.)
(c) What is the
p
-value of the test of the null hypothesis of equal population proportions against a
two-sided alternative hypothesis?
(d) Give a summary of the results of the hypothesis test.
(e) Since polio is a rare disease, the
di
ff
erence
in population proportions may not be the best way
of comparing the two proportions. In many situations, especially with rare events, the
relative
risk
is the more informative quantity. In this case the relative risk would be the ratio of the
estimated probabilities of developing polio. That is,
RR
=
ˆ
p
placebo
ˆ
p
vaccine
. If we have a relative risk of
3, say, then that means individuals given the placebo would be 3 times more likely to develop
polio.
In many cases this is a better and more intuitive measure of the di
ff
erence between
proportions. What is the relative risk of developing polio?
6.4
Extra Practice Questions
27. The median lethal dose (often called LD50 (lethal dose, 50%) or LC50 (lethal concentration, 50%)),
is often reported in toxicology studies. It is the dose that results in 50% mortality within a specified
time period.
Suppose you are investigating the e
ff
ect of zinc concentration on the mortality of a
certain type of freshwater minnow. As part of this study, you subject 100 of these minnows to a zinc
concentration of 5 ppm. Within 48 hours, 68 of the minnows are dead.
(a) Construct a 95% confidence interval for the true proportion of this type of minnow that would
be dead within 48 hours if exposed to 5 ppm of zinc.
(b) Based on this interval, is there a strong indication that the 48 hour LD50 is di
ff
erent from 5
ppm?
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fi
fi
ii
I
Pp
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it
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6
0.000798
0.00043
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2
id
(c) Carry out a hypothesis test of the null hypothesis that 5 ppm of zinc will kill 50% of this
type of minnow within 48 hours, against a two-sided alternative hypothesis. Give appropriate
hypotheses, standard error, test statistic,
p
-value, and conclusion at
↵
= 0
.
05
.
(d) Suppose in a di
ff
erent experiment, with a di
ff
erent type of minnow, we wished to estimate the
proportion that would be dead in 48 hours to within 0.03, with 99% confidence. What is the
minimum sample size that would be required? (Suppose that we have no reasonable estimate
of the true proportion before the study, and thus we must use the conservative estimate of
p
in
the formula.)
(e) Suppose that in another part of this study, after exposure to a high level of zinc, 198 of 200
minnows are dead within 48 hours. Would it be reasonable to use the normal approximation to
construct a confidence interval for
p
in this scenario?
28. Suppose it was previously believed that in a certain geographical area, approximately 50% of babies
born prematurely at 25 weeks did not survive until at least their first birthday. You investigate this
claim and find data on 67 babies born at 25 weeks. 43 of these babies survived until they were one
year old. Suppose it is reasonable to assume that your data represents a random sample of births
from that area at that time.
(a) Construct a 95% confidence interval for the proportion of babies born at 25 weeks that survive
until they are at least one year old. Give an appropriate interpretation of the interval.
(b) Test the null hypothesis that half of babies born at 25 weeks die, against a two-sided alternative
hypothesis. Give appropriate hypotheses, test statistic,
p
-value, and conclusion.
29. A random sample of 40 soft-serve ice cream vendors in a large city revealed that 17 of them had
E. coli
counts in excess of recommended guidelines.
Calculate a 95% confidence interval for the
population proportion, and give a proper interpretation of the interval.
30. The 2006 Canadian census revealed that approximately 23% of Canadians between 25 and 64 years
of age have a university degree. In a certain area at that time, a random sample of 500 adults in this
age group revealed that 25 had a university degree.
(a) Construct a 90% confidence interval for the proportion of people between 25 and 64 in this area
at that time that had a university degree.
(b) Test whether the proportion of people between 25 and 64 in this area with a university degree
di
ff
ered from the rest of Canada.
Give appropriate hypotheses, test statistic,
p
-value, and
conclusion.
31. You are interested in using a marketing campaign to sell new cars to recent university graduates.
Before starting the campaign, you would like to have some idea of the proportion of graduating
students who intend to buy a new car in the next year. If you wish to estimate this proportion to
within 0.04 with 90% confidence, what is the minimum sample size that is required? Assume that
you do not have a good estimate of the proportion before taking the sample, and thus you need to
use the most conservative estimate of the sample size required.
32. Pollsters were interested in possible di
ff
erences between men and women in their presidential approval
ratings. 100 men and 100 women were asked if they approved of the way the president was handling
his job. 58 of the women and 43 of the men said they approved.
(a) Calculate a 90% confidence interval for the di
ff
erence in the population proportions between
females and males. (Hint to ease the calculation burden:
SE
(ˆ
p
F
-
ˆ
p
M
) = 0
.
0699
.)
(b) Give an appropriate interpretation of the interval found in
32a
.
(c) Perform a hypothesis test of the null hypothesis that the approval ratings for men and women
are the same, against the alternative that they are di
ff
erent. Give appropriate hypotheses, value
of the test statistic,
p
-value, and a conclusion at the 5% level of significance. (Hint to ease the
calculation burden:
SE
0
(ˆ
p
F
-
ˆ
p
M
) = 0
.
070707
.)
33. A company is testing a new heat treatment intended to eradicate bedbugs. As part of the investi-
gation process, they wish to assess what e
ff
ect di
ff
erent temperatures have on killing bedbugs. They
subject 200 adult bedbugs to a temperature of 45 degrees Celsius for 30 minutes, and find that 176
died. They subject 200 di
ff
erent adult bedbugs to a temperature of 47 degrees Celsius for 30 minutes,
and find that 184 died.
(a) What is a 95% confidence interval for the di
ff
erence in population proportions? Also give an
appropriate interpretation of the interval. (Hint to ease the calculation burden:
SE
(ˆ
p
1
-
ˆ
p
2
) =
0
.
02993
.)
(b) Suppose we wish to test the null hypothesis that the population proportions are equal, against
the alternative that the higher temperature kills a higher proportion of bedbugs. Give appropri-
ate hypotheses in words and symbols, standard error, value of the test statistic, and conclusion
at a
↵
= 0
.
01
significance level. (Hint to ease the calculation burden:
SE
0
(ˆ
p
1
-
ˆ
p
2
) = 0
.
030
.)
References
Chase et al. (2007). Safety restraint injuries in fatal motor vehicle collisions.
Forensic Science, Medicine,
and Pathology
, 3:258–263.
Guéguen et al. (2012). The sweet smell of. courtship: E
ff
ects of pleasant ambient fragrance on womenÕs
receptivity to a manÕs courtship request.
Journal of Environmental Psychology
, 32:123–125.
Häkkänen et al. (2009). Gender di
ff
erences in Finnish homicide o
ff
ence characteristics.
Forensic Science
International
, 186:75–80.
Holland et al. (2013). A magnetic pulse does not a
ff
ect homing pigeon navigation: a gps tracking experi-
ment.
The Journal of Experimental Biology
, 216:2192–2200.
Koshy et al. (2010). Parental smoking and increased likelihood of female births.
Annals of Human Biology
,
37(6):789–800.
Mahdavi et al. (2013). Is there any relationship between leb antigen expression and
Helicobacter pylori
infection?
Blood Cells, Molecules and Diseases
, 51:174–176.
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