Nicole Birkholz
Grand Canyon University
PSY-520
6 December 2017
Topic 5 Exercises
13.6 It’s well established, we’ll assume, that lab rats require an average of 32 trials in a complex
water maze before reaching a le
...
Nicole Birkholz
Grand Canyon University
PSY-520
6 December 2017
Topic 5 Exercises
13.6 It’s well established, we’ll assume, that lab rats require an average of 32 trials in a complex
water maze before reaching a learning criterion of three consecutive errorless trials. To determine
whether a mildly adverse stimulus has any effect on performance, a sample of seven lab rats
were given a mild electrical shock just before each trial.
a.) Given that X 5 34.89 and s 5 3.02, test the null hypothesis with t , using the .05 level of signifi
cance.
Estimated standard error = 3.02/2.646
= 1.1413
t=(34.89-32)/1.1413
= 2.89/1.1413
= 2.532
Df=7-1=6
t critical value=2.447
Since the t value is greater than the t critical value= reject the null hypothesis.
b.) Construct a 95 percent confidence interval for the true number of trials required to learn the
water maze.
34.89±(2.447)(1.1413) =34.89±2.793
= 32.097 and 37.683
The number of trials would have to be between about 32 and 38 trials.
13.8 Assume that on average, healthy young adults dream 90 minutes each night, as inferred
from a number of measures, including rapid eye movement (REM) sleep. An investigator wishes
to determine whether drinking coffee just before going to sleep affects the amount of dream time.
After drinking a standard amount of coffee, dream time is monitored for each of 28 healthy
young adults in a random sample. Results show a sample mean, X, of 88 minutes and a sample
standard deviation, s , of 9 minutes.
a.) Use t to test the null hypothesis at the .05 level of significance.
Estimated standard error= 9/= 9/5.2915= 1.7008
T=(90-88)/1.7008= 2/1.7008= 1.1759
Df=28-1=27; t critical value=2.052
Since the t value is less than the t critical value we do not reject the null hypothesis.
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b.) If appropriate (because the null hypothesis has been rejected), construct a 95 percent confi
dence interval and interpret this interval.
The null hypothesis was not rejected so there is no need to construct a confidence interval.
13.9 In the gas mileage test described in this chapter, would you prefer a smaller or a larger
sample size if you were
a.)the car manufacturer? Why?
A smaller sample size; to relate to a smaller population there would be less variability due to
flaws
b.) a vigorous prosecutor for the federal regulatory agency? Why?
Larger sample size; the variability can address the flaws with the federal regulatory agency
13.10 Even though the population standard deviation is unknown, an investigator uses z rather
than the more appropriate t to test a hypothesis at the .05 level of signifi cance.
a.) Is the true level of significance larger or smaller than .05? larger
b.)Is the true critical value larger or smaller than that for the critical z ? larger
14.11To test compliance with authority, a classical experiment in social psychol-ogy requires
subjects to administer increasingly painful electric shocks to seemingly helpless victims who
agonize in an adjacent room.* Each subject earns a score between 0 and 30, depending on the
point at which the subject refuses to comply with authority—an investigator, dressed in a white
lab coat, who orders the administration of increasingly intense shocks. A score of 0 signifies the
subject’s unwillingness to comply at the very outset, and a score of 30 signifi es the subject’s
willingness to comply completely with the experimenter’s orders...
n1=6
n2=6
∑x1=56/6=9.33
∑ x2=42/6=7
SS1=770-(56)2
/6= 770-3136/6= 770-522.67= 247.33
SS2=418-(42)2
/6= 418-1764/6= 418-294= 124
S
2
p= 247.33+124/6+6-2= 371.33/10=37.133
Standard error =3.5182
T= (9.33-7)-0/3.5182
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= 2.33/3.5182
=0.6623
T= 0.6623
t critical value= 2.228
Since the t value is less than the t critical value you would not reject the null hypothesis.
14.12 To determine whether training in a series of workshops on creative thinking increases IQ
scores, a total of 70 students are randomly divided into treatment and control groups of 35 each.
After two months of training, the sample mean IQ ( –X1) for the treatment group equals 110, and
the sample mean IQ ( –X2) for the control group equals 108. The estimated standard error equals
1.80.
a.) Using t , test the null hypothesis at the .01 level of significance.
t= (110-108)-0/1.80= 2/1.80
= 1.11
t=1.11
t critical value=2.390
You would not reject the null hypothesis
b.) If appropriate (because the null hypothesis has been rejected), estimate the standardized effect
size, construct a 99 percent confi dence interval for the true population mean difference, and
interpret these estimates.
Null hypothesis was not rejected; no need to construct a confidence interval.
4.14 An investigator wishes to determine whether alcohol consumption causes a deterioration in
the performance of automobile drivers. Before the driving test, subjects drink a glass of orange
juice, which, in the case of the treatment group, is laced with two ounces of vodka. Performance
is measured by the number of errors made on a driving simulator. A total of 120 volunteer
subjects are randomly assigned, in equal numbers, to the two groups. For subjects in the
treatment group, the mean number of errors ( –X1) equals 26.4, and for subjects in the control
group, the mean number of errors ( –X2) equals 18.6. The estimated standard error equals 2.4.
a.) Use t to test the null hypothesis at the .05 level of signifi cance.
t=(26.4-18.6)-0/2.4= 3.25
t critical value =1.671
Since the t value is greater than the t critical value= reject the null hypothesis
b.) Specify the p -value for this test result.
p<0.001
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c.) If appropriate, construct a 95 percent confi dence interval for the true population mean
difference and interpret this interval.
26.4-18.6±(1.671)(2.4) =7.8±4.0104
=3.8 to 11.8
d.) If the test result is statistically significant, use Cohen’s d to estimate the effect size, given that
the standard deviation, s p , equals 13.15.
d= 26.4-18.4/13.15= 0.59
e.) State how these test results might be reported in the literature, given s 1 5 13.99 and s 2 5
12.15.
Number of errors made on the driving simulator is greater when alcohol is consumed than when
no alcohol is consumed.
15.7 An educational psychologist wants to check the claim that regular physical exercise
improves academic achievement. To control for academic aptitude, pairs of college students with
similar GPAs are randomly assigned to either a treatment group that attends daily exercise
classes or a control group. At the end of the experiment, the following GPAs are reported for the
seven pairs of participants: (table)
a.) Using t , test the null hypothesis at the .01 level of signifi cance.
Sample mean of difference scores= ∑D/n= 1.56/7= .22
SSD= ∑D2
- (∑D)2
/n
= .48-(1.56)2
/7
= .48-2.4336/7
= .48-.35
= .13
SD= .14
Standard error = sD/
= .14/
= .14/2.646
= .05
t= .22-0/.05= 4.4
t critical value= 3.143
Since the t value of 4.4 is greater than the t critical value 3.143 = the null hypothesis should be
rejected
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