Question

A study was conducted using undergraduates at a rural university
who volunteered to participate in the research as partial
fulfillment of a course requirement. One of the items studied was
the amount of alcohol consumed (in drinks) in any one day for the
past month. Administrators want to know if there are differences in
alcohol consumption between freshmen and juniors. Based on the
information in the table below, what can be concluded with α =
0.05?

freshmen |
juniors |

_{1} = 5.1
n _{1} = 9 |
_{2} = 5.8
n _{2} = 6 |

**a)** What is the appropriate test statistic?

---Select: na, z-test, One-Sample t-test, Independent-Samples
t-test, or Related-Samples t-test

**b)**

Condition 1:

---Select: juniors, freshmen, alcohol consumption, undergraduates,
or the private university

Condition 2:

---Select: juniors, freshmen, alcohol consumption,
undergraduates, or the private university

**c)** Obtain/compute the appropriate values to make a
decision about *H*_{0}.

(Hint: Make sure to write down the null and alternative hypotheses
to help solve the problem.)

critical value? = ; test statistic? =

Decision?: ---Select--- Reject H0 Fail to reject
H0

**d)** If appropriate, compute the CI. If not
appropriate, input "na" for both spaces below:

[ , ]

**e)** Compute the corresponding effect size(s) and
indicate magnitude(s).

If not appropriate, input and/or select "na" below.

*d?* = ; ---Select: na, trivial effect, small
effect, medium effect, or large effect

*r*^{2?} = ; ---Select: na, trivial
effect, small effect, medium effect, or large effect

**f)** Make an interpretation based on the
results:

(a)The freshmen consumed significantly more alcohol than juniors.

(b)The freshmen consumed significantly less alcohol than juniors.

(c)The amount of alcohol consumed by freshmen and juniors did not significantly differ.

Answer #1

a) use and independent samples t-test. Because we want to compare means from two distinct populations and our sample size is small.

b) condition 1: freshmen condition 2: juniors

c)

f) Option C: the amount of alcohol consumed did not differ significantly

Researchers hypothesize that a new oral contraceptive will
produce weight loss. In a study, healthy females were weighed (lb)
at the beginning of a course of the new oral contraceptive. They
were reweighed at 2 months. What can the researchers conclude with
an α of 0.01? The data are below.
initial weight
2-month weight
140
141
137
130
140
158
147
145
148
140
150
119
144
141
144
163
146
145
151
144
a) What is the appropriate test...

Application Exercise:
A physician hypothesizes that males have higher systolic blood
pressure than females. The physician obtains a sample of patients
and measures their blood pressures during their regular check-up.
Below is the systolic blood pressure for the sample. What can the
physician conclude with α = 0.01?
male
female
106
119
98
105
100
132
109
113
98
105
137
115
119
115
127
122
131
124
111
136
a) What is the appropriate test statistic?
---Select--- na z-test...

A doctor hypothesizes that females have higher systolic blood
pressure than males. The doctor obtains the blood pressure from a
sample of patients during their annual check-up. Below is the
systolic blood pressure for the sample. What can be concluded with
α = 0.05?
male
female
106
119
98
105
100
132
109
113
98
105
137
105
119
115
127
122
131
124
111
136
a) What is the appropriate test statistic?
---Select--- na z-test One-Sample t-test Independent-Samples t-test...

Generally, the average typing speed is 56 words per minute (wp).
A professor wanted to see where his students stand compared to the
population. He tested 24 of his students and obtained the following
estimates: an average typing speed of 58 with a variance of 361.00.
What can the professor conclude with α = 0.01?
a) What is the appropriate test statistic?
---Select--- na z-test One-Sample t-test Independent-Samples t-test
Related-Samples t-test
Also state population and sample from choices below
Population:...

The mean height of adult males in the U.S is about 68.2" with a
variance of 16.00". Suppose the mean height of a sample of 30
mentally disabled males was found to be 69.6". Researchers want to
know if the height of mentally disabled males differs from the
population. What can be concluded with α = 0.01?
a) What is the appropriate test statistic?
---Select from the options--- na z-test, one-sample t-test,
independent-samples t-test, related-samples t-test
b)
Population:
---Select from...

Vita Pills were advertised as having 751 mg of vitamin B3 per
pill. A marketing firm hypothesizes that the amount of vitamin B3
is less than what is advertised. What can be concluded with α =
0.10. The vitamin B3 content per pill from a sample of pills is as
follows:
713, 761, 716, 721, 751, 721, 711, 741.
a) What is the appropriate test statistic?
---Select--- na z-test One-Sample t-test Independent-Samples t-test
Related-Samples t-test
b)
Population:
---Select--- sample of...

A social psychologist predicts that college students will be
impaired from a self-efficacy program for professional athletes. A
sample of students is drawn from a university whose students have
an average of 54 for self-efficacy. The sample of students goes
through the program for six weeks and afterwards are given a
self-efficacy questionnaire. What can the psychologist conclude
with an α of 0.01? The self-efficacy scores for the sample after
six weeks are:
50, 61, 80, 46, 94, 66, 76,...

A social psychologist predicts that college students will
benefit from a self-efficacy program for professional athletes. A
sample of students is drawn from a university whose students have
an average of 54 for self-efficacy. The sample of students goes
through the program for six weeks and afterwards are given a
self-efficacy questionnaire. What can the psychologist conclude
with an α of 0.01? The self-efficacy scores for the sample after
six weeks are:
50, 61, 80, 46, 94, 51, 37, 85,...

A cigarette company rand an advertising campaign designed to
improve sales. To evaluate their campaign, they had subjects record
the average number of cigarettes smoked per day in the week before
and the week after exposure to the ad. What can be concluded with
an α of 0.05. The data are below.
before
after
46
25
21
34
31
20
34
26
27
41
35
17
12
29
18
19
27
26
16
41
a) What is the appropriate test...

A national organization ran an advertising campaign designed to
convince people to quit smoking. To evaluate their campaign, they
had subjects record the average number of cigarettes smoked per day
in the week before and one week after exposure to the ad. What can
be concluded with α = 0.05. The data are below.
before
after
35
17
12
29
18
19
27
26
16
41
46
17
21
34
31
20
34
26
27
41
a) What is the...

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