Research Methods for the Behavioral Sciences (MindTap Course List)
6th Edition
ISBN: 9781337613316
Author: Frederick J Gravetter, Lori-Ann B. Forzano
Publisher: Cengage Learning
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Textbook Question
Chapter 10, Problem 16E
Identify the appropriate statistical test for each of the following nonexperimental and quasi-experimental designs.
a. A differential design
b. A cross-sectional design comparing children at ages 10, 14, and 18
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If Elliot collects data from a single sample and her dependent variable is assessed on a nominal scale, which of these difference tests would Elliot need to use to analyze her data?
A. a single-sample t test
B. a single-sample z test
C. a between-subjects ANOVA
D. a chi-square goodness-of-fit test
Consider the following sample observations on stabilized viscosity of asphalt specimens.
2,762
2,907
3,012
2,813
2,876
Suppose that for a particular application, it is required that true average viscosity be 3,000. Does this requirement appear to have been satisfied? State the appropriate hypotheses. (Use ? = 0.05.)
H0: ? > 3,000
Ha: ? < 3,000
H0: ? = 3,000
Ha: ? ≠ 3,000
H0: ? ≠ 3,000
Ha: ? = 3,000
H0: ? < 3,000
Ha: ? = 3,000
Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.)
t
=
P-value
=
What can you conclude?
Reject the null hypothesis. There is sufficient evidence to conclude that the true average is viscosity differs from 3000.Do not reject the null hypothesis. There is sufficient evidence to conclude that the true average is viscosity differs from 3000. Reject the null hypothesis. There is not sufficient evidence to conclude that…
If Elliot collects data from a single sample and her dependent variable is assessed on a nominal scale, which of these difference tests would Elliot need to use to analyze her data?
a. single sample t test
b. between-subjects, one-way ANOVA.
c. chi square goodness of fit test
d. single-sample z test
Chapter 10 Solutions
Research Methods for the Behavioral Sciences (MindTap Course List)
Ch. 10.1 - Define, compare, and contrast the experimental,...Ch. 10.2 - Define a nonequivalent group design and identify...Ch. 10.2 - Explain how individual differences threaten the...Ch. 10.2 - Describe the two nonexperimental nonequivalent...Ch. 10.2 - Explain how a simple modification of the...Ch. 10.3 - Define a pre-post design and identify examples of...Ch. 10.3 - Identify the threats to internal validity for...Ch. 10.3 - Describe the nonexpenmental pretest-posttest...Ch. 10.3 - Explain how replacing the single observation...Ch. 10.4 - Define cross-sectional and longitudinal designs,...
Ch. 10.5 - Identify the statistical techniques that are...Ch. 10.5 - Explain how the terms quasi-independent variable...Ch. 10 - In addition to the key words, you should also be...Ch. 10 - Explain the distinction between experimental and...Ch. 10 - Why are studies that examine the effects of aging...Ch. 10 - Explain why we can be more confident about causal...Ch. 10 - Give an example of a situation (aside from gender)...Ch. 10 - Mueller and Oppenheimer (2014) conducted a series...Ch. 10 - A researcher measures personality characteristics...Ch. 10 - A researcher wants to describe the effectiveness...Ch. 10 - Explain how the pretest helps minimize the threat...Ch. 10 - Describe the basic characteristics of a pre-post...Ch. 10 - To evaluate the effectiveness of a new television...Ch. 10 - What characteristic differentiates a pretest-post...Ch. 10 - Explain how a time-series design minimizes most...Ch. 10 - A researcher wants to describe how fine motor...Ch. 10 - Although the cohort effect can be a serious...Ch. 10 - Identify the appropriate statistical test for each...Ch. 10 - The college offers all students an optional...
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
The following data are from a repeated-measures experiment comparing three different treatment conditions.
Participant
Treatment A
Treatment B
Treatment C
A
0
1
2
B
2
5
5
C
1
2
6
D
5
4
9
E
2
8
8
TA= 10
TB= 20
TC= 30
G= 60
SSA= 14
SSB= 30
SSc= 30
SStotal=370
Conduct a repeated measures ANOVA with alpha =.05 to determine whether there are any difference between the means. Show work for all intermediary steps and include a source table for the ANOVA and calculate the partial η2 for the effect of treatment on scores. conduct any post hoc tests to determine mean differences (if the ANOVA is significant).
Set up a dataset on SPSS with data from the last problem. Calculate the ANOVA and partial η2 and report the F statistic in APA format:
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In general, when people diet they typically lose 10 lbs. (?σ = 2).
A random sample of 16 people on the keto diet lost 15 lbs.
Do people on the keto diet lose more or less weight than people on diets in general?
4. What is the research hypothesis?
a) Weight loss in the keto diet sample does not differ from weight loss in the population of dieters in general (H1: X-bar = Mu)
b)Weight loss in the keto diet sample does differ from weight loss in the population of dieters in general (H1: X-bar = Mu)
c) Weight loss in the keto diet sample does not differ from weight loss in the population of dieters in general (H1: X-bar does not equal Mu)
d) Weight loss in the keto diet sample does differ from weight loss in the population of dieters in general (H1: X-bar does not equal Mu)
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In a comparison of two methods for the determination of chromium in rye grass, the following results were obtained:
Method A, mean(mg/kg Cr)=1.48 Standard deviation(mg/kg Cr)=0.28 n= 6
Method B, mean (mg/kg Cr)=2.33
Standard deviation(mg/kg Cr)=0.31 n=10
Is the precision of these two methods significantly different?
Do these two methods give results with means which differ significantly? a=0.05
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Based on the EViews results above, answer the following questions.a. What is your comments on the diagnostic tests of the model? i. Autocorrelation test ii. Heteroscedasticity test iii. Normality
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Researchers interested in lead exposure due to car exhaust sampled the blood of 52 police officers subjected to constant inhalation of automobile exhaust fumes while working traffic enforcement in a primarily urban environment. The blood samples of these officers had an average lead concentration of 124.32 µg/l and a SD of 37.74 µg/l; a previous study of individuals from a nearby suburb, with no history of exposure, found an average blood level concentration of 35 µg/l.
Test the hypothesis that the downtown police officers have a higher lead exposure than the group in the previous study. Interpret your results in context.
Based on your preceding result, without performing a calculation, would a 99% confidence interval for the average blood concentration level of police officers contain 35 µg/l?
Based on your preceding result, without performing a calculation, would a 99% confidence interval for this difference contain 0? Explain why or why not.
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If the test of H0: = 19 against Ha: ≠ 19 based on an SRS of 15 observations from a Normal populationproduces the statistic of t = –1.75. The P-value is
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In each of the following problems (a) state, the null and the alternative hypothesis (b) compute the test statistic, (c) determine the critical value and sketch the rejection region and the non-rejection region using the normal curve.
1. The cashier of a fast-food restaurant claims that the average amount spent by customers for dinner is Php120.00. A sample of 50 customers over a month was randomly selected, and it was found out that the average amount spent for dinner was Php122.50. Construct the critical regions using a 0.05 level of significance to conclude that the average amount spent by customers is more than Php120.00. Assume that the population standard deviation is Php6.50.
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Dr. Stevenson reported the following in a journal: “F (4, 106) = 10.09, p = .04.”
Should Dr. Stevenson state that there are significant differences among the variable means at a .01 alpha level?
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Penicillin is produced by the Penicillin fungus, which is grown in a broth whose sugar content must be carefully controlled. Several samples of broth were taken on three successive days, and the amount of dissolved sugars, in milligrams per milliliter, was measured on each sample. The results were as follows.
Day
1
:
4.9
5.4
5.3
4.9
5.2
5.1
5.4
4.9
5.1
5.1
4.9
5.4
Day
2
:
5.5
5.2
5.1
5.0
5.3
5.4
5.3
5.2
5.4
5.3
5.4
5.1
Day
3
:
5.8
5.0
5.4
5.5
5.5
5.5
4.8
5.5
5.2
4.9
5.5
5.0
Construct an ANOVA table. Round your answers to four decimal places as needed.
One-way ANOVA: Sugar Concentration
Source
DF
SS
MS
F
P
Days
Error
Total
Is there enough evidence to conclude that the mean sugar concentration…
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(b) what are Ho and Ha?
(c) with alpha=.05, what is rcrit ?
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Use the empirical rule to answer the following questions

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