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Consider the following data set: 45, 54, 37, 34, 46, 57, 69, 65, 84, 45, 49, 53 What is the value of 60 |

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thanks for the question let me do it

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Need help with SPSS work

Need help with SPSS work

Part One
Note:
For the two-way ANOVA, you will be expected to create a line graph as covered
in the SPSS tutorial in the Course Content (and not a boxplot as in the
textbook). This applies to future cumulative questions as well.
Green
& Salkind: Lesson 26, Exercises 1, 4, 5, 6, 7, and 8
The
following helpful tips are numbered to correspond with the exercise number to
which they refer (a dash indicates that no tips are needed):
1.
Instead of identifying these values on your output, as the text
states, please write them into your Word file aswritten answersfor #
·
A: f value
·
B: mean GPA
·
C: effect size
·
D: p value
4. Produce a line graphinstead
of a boxplot for this problem. Follow directions in course SPSS tutorial for setting
up a line graph.
5.
Which follow-up procedures should you use? Why?
6.
All homework “Results sections” should
follow the example given in the Course Content document “Writing Results of
Statistical Tests in APA Format” (note: you do not have to refer to a figure).
(2 pts)
7. Produce a line graphinstead of a boxplot for this problem.
Follow directions in course SPSS tutorial for setting up a line graph.
Reinforce Schedule time 1 1 26
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2 1 32
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2 1 28
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3 1 37
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3 1 34
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3 1 33
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3 1 25
3 2 35
3 2 32
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3 2 33

Need help 1 with SPSS work

Need help 1 with SPSS work

Green & Salkind: Lesson 31, Exercises 1–4The following helpful tips are numbered to correspond with the exercise number to which they refer (a dash indicates that no tips are needed):1. ---------- (2 pts for output and 2 pts each for a–c)2. Answer this question in sentence form. Include the correlation (r) and degrees of freedom, the p value, and whether these values indicate a significant correlation between the variables or not. (2 pts)3. All homework “Results sections” must follow the example given in the Course Content document “Writing Results of Statistical Tests in Current APA Format” (Note: you do not have to refer to a figure). (2 pts)4. ---------- (2 pts)5. A: name is rating_1, B: rating_2, C: num_pubs D: CitesA B C D4.87 2.78 0 04.47 4.85 14 904.86 3.86 1 23.27 3.75 1 324.80 4.37 11 533.94 4.37 3 124.61 3.61 16 1084.32 4.77 1 44.46 4.34 13 824.64 4.34 1 193.20 3.03 0 04.30 4.44 7 514.98 4.58 49 2742.98 2.52 3 84.50 4.20 1 174.53 4.15 1 83.55 2.76 0 04.00 4.45 2 283.82 4.23 0 04.13 3.91 1 274.97 4.83 37 1894.12 3.82 0 04.82 4.77 19 1023.12 2.89 0 04.57 4.21 1 133.00 2.86 10 634.89 3.89 3 184.14 4.39 8 1374.23 4.68 14 544.08 4.32 5 314.33 3.89 0 03.06 3.30 17 984.12 3.62 1 54.30 4.17 25 1154.50 4.23 1 214.33 3.95 3 354.40 4.13 11 1184.33 4.10 5 494.26 3.78 0 03.76 4.21 8 274.34 4.22 12 644.83 3.83 10 223.02 2.00 0 04.88 3.88 3 1544.31 4.46 34 644.07 3.75 40 1372.96 2.82 1 234.88 3.88 1 163.36 3.76 15 374.14 4.60 11 69Part 2:1. A clinical psychologist would like to determine whether there is a relationship between observer ratings of children’s anxious behaviors and scores on an established diagnostic interview assessing anxiety disorders. He administers the diagnostic interview to 28 children and records these scores. He then trains an observer to independently rate anxiety-specific behaviors for each of the 28 children. These ratings are totaled for an overall “anxious behavior” score. On both the interview and the behavioral ratings, a higher score indicates higher levels of anxiety. These scores are listed in the table on the following page. Conduct a Pearson correlation coefficient analysis to determine whether there is a relationship between the interview scores and the behavioral ratings for this group of children.The steps will be the same as the ones you have been practicing in Part 1 of the assignment—the only difference is that you are now responsible for creating the data file as well. Remember to name and define your variables under the “Variable View,” then return to the “Data View” to enter the data. (3 pts)Interview (Range 0–9)Anxious Behavior Rating (Range 0–25)372646921720718410893537251361781982372214273733513820716412613618515292. Create a simple scatterplot of the relationship between these variables (define interview scores as the x-axis and behavioral ratings as the y-axis). (3 pts)3. Write an APA-style Results section describing the outcome. All homework “Results sections” must follow the example given in the Course Content document “Writing Results of Statistical Tests in Current APA Format” (Note: you do not have to refer to a figure). Be sure to include the direction of the relationship between the variables (positive? negative? none?) in your section. (3 pts)4. A neuropsychologist is assessing the relationship between brain function and performance on a visuo-spatial task. He administers a test to 14 patients on which scores can range from 1–20: a high score indicates normal brain function, and a low score indicates some levels of brain dysfunction. He then asks each patient to complete a maze and records the number of mistakes the patient makes from start to finish. The scores are listed in the table below. Conduct a Pearson correlation coefficient analysis to determine what the relationship is, if any, between brain function and performance on the maze task.The steps will be the same as the ones you have been practicing in Part 1 of the assignment—the only difference is that you are now responsible for creating the data file as well. Remember to name and define your variables under the “Variable View,” then return to the “Data View” to enter the data. (3 pts)Dysfunction ScoreNumber of Mistakes on Maze Task3258189184261566191831741966165142021755235. Create a simple scatterplot of the relationship between these variables. (3 pts)6. Write an APA-style Results section describing the outcome. All homework “Results sections” must follow the example given in the Course Content document “Writing Results of Statistical Tests in Current APA Format” (Note: you do not have to refer to a figure). (3 pts)7. The null hypothesis for this scenario can be written as follows: “There is no relationship between level of brain function and the number of mistakes made on a maze task.” Based on your results, should this hypothesis be rejected or retained, and why? Write your answer in sentence form. (2 pts)Part 3: Cumulative Homework1. A developmental psychologist is studying whether students in a certain preschool program perform better than preschoolers in the state in general on a measure of math readiness. The mean score for preschoolers in the state on the measure is 87. The psychologist tests the preschoolers in the program and records the scores in the table below. Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Follow the directions under the table below.Math Readiness Scores908986917892887379898891938992a) Paste appropriate SPSS output. (2 pts)b) Paste appropriate SPSS graph. (2 pts)c) Write a Results section in current APA style describing the outcome. All homework “Results sections” must follow the example given in the Course Content document “Writing Results of Statistical Tests in Current APA Format” (Note: you do not have to refer to a figure). (2 pts)

Need help 2 with SPSS work

Need help 2 with SPSS work

The following research questions can be answered using 1 of the 5 tests you have learned so far: single-sample t-test, paired-samples t-test, independent-samples t-test, one-way ANOVA, or two-way ANOVA. Use the information in the tables to construct your SPSS data file, just as you have been doing in Part 2 of each homework assignment. There is only 1 correct choice of analysis for each question. The assessment is open-book/open-notes.For each problem involving a test of significance, your answer must include: A) the output and an appropriate graph from SPSS; B) a statistical statement (i.e., t(19) = 1.79, p = .049); and C) a sentence summarizing the results (i.e., “There was a significant difference between the two groups on the variable…” or “There was no significant difference…”).For ANOVA problems: Report statistical findings and make statements for all main effects and interaction effects. Use the Fisher LSD test for any analyses requiring post hoc tests.Submit this assignment by 11:59 p.m. (ET) on Monday of Module/Week 5.1. An entrepreneur claims that he has developed a program that can increase the IQ of adolescent students. To test this claim, a psychologist administers the WISC (an IQ score for children) to a group of students before and after completing the training program. Analyze the data to test the entrepreneur’s claim. (16 pts)StudentIQ beforeIQ after123456789101112131415161718103859410674988393103961091158612211212611872998990108749980991079311111783122120131116742. The staff at a local psychiatric facility wants to determine whether implementing a No Smoking rule significantly decreases the length of stay of inpatients. In order to test this claim, they compared the length of stay of patients admitted before a No Smoking rule was implemented to another group of patients admitted after the No Smoking rule was implemented. Evaluate the claim that the average length of stay was significantly shorter for the group admitted after the facility implemented the rule. (16 pts)Smoking AllowedNo Smoking852586414715128413108510782324484524673. Depressed patients are randomly assigned to 1 of 3 therapists. At the end of 3 months, each patient completes a standardized test of depression (higher scores indicate higher level of depression). The patients’ scores are shown below. Analyze the data to determine how effective these 3 therapists are at treating depression (assume that before the treatment, all 3 groups of patients had the same average depression score). (16 pts)Therapist 1Therapist 2Therapist 33537353736333936373731393532293225283330324. In light of all the weight loss misinformation and fad diets, a medical researcher determines to evaluate several of them. She randomly assigns volunteers (identified as clinically obese) to 1 of 4 diets. She is a firm believer in the benefits of exercise, so she also assigns them to either the exercise or no exercise group. After 3 months, she compares the pounds lost for each condition. Was there a significant effect of the diets and exercise on weight loss? (16 pts)ExerciseLow CarbSouth BeachAdkinsWeightWatchers2628302520282218252124292828302526NoExercise152018181215151719282521342530285. Infants exposed to cocaine in their mother’s womb are thought to be at high risk for major birth defects. Thirteen infants born to mothers who are addicted to cocaine are administered the Brazelton Neonatal Assessment 1 day after birth. For these babies, their scores were as follows:Brazelton Scores6.254.508.505.503.007.907.505.306.807.505.257.456.80For the general population, babies normally score an 8.5. Is this group of babies significantly lower than normal?

Need help with this one

Need help with this one

Question 1
The numerical value for a correlation ranges between ________ and ________.
0; 1.00
–1.00; 1.00
negative infinity; positive infinity
–1.00; 0
2.5 points
Question 2
If all the points on a scatterplot fall on a single line:
there is no relation between the variables.
the relation between the variables is perfect.
the variables are causally related.
there is a positive correlation between the two variables.
2.5 points
Question 3
According
to guidelines published by Cohen (1988), a correlation value of
________ is considered small, ________ is medium, and _______ is strong.
0.10; 0.30; 0.50+
0.25; 0.50; 0.75
0.40; 0.60; 0.80
1.00; 2.00; 3.00
2.5 points
Question 4
When using the Pearson correlation coefficient in hypothesis testing, we determine whether the correlation is:
significantly straight.
significantly different from zero.
accurate for the sample.
accurate for the population.
2.5 points
Question 5
Which of the following statements accurately captures a positive correlation?
an
association such that participants with low scores on one variable tend
to have high scores on the other variables as well, and those with high
scores on one variable tend to have low scores on the other variable
one variable reliably predicts the scores on a second variable because they move perfectly together
an
association such that participants with high scores on one variable
tend to have high scores on the other variables as well, and those with
low scores on one variable tend to have low scores on the other
variable.
an association in which one variable is a multiplicative factor of the other variable.
2.5 points
Question 6
According to Cohen's published standards, a correlation coefficient of 0.34 is considered to represent:
a small effect.
a medium effect.
a large effect.
no relationship.
2.5 points
Question 7
What is the null hypothesis when testing for significance using the Pearson correlation coefficient?
μ1 = μ2
ρ= 0
ρ0
r= 1
2.5 points
Question 8
If a test actually measures what it is intended to measure, then that test:
is reliable.
is valid.
does not suffer from restriction of range problems.
is internally consistent.
2.5 points
Question 9
Assume
that the correlation coefficient between class attendance and number of
problems missed on an exam is (–0.77). Which statement regarding this
finding is correct?
If you start attending class more regularly, the number of problems you miss on the next exam is certain to be reduced.
There is definitely no causal relationship between the two variables.
If you attend class regularly, you are more likely to do well on the exam than someone who does not attend class regularly.
The correlation provides definitive information pertaining to causation.
2.5 points
Question 10
In the equation Ŷ = 130 + 5(X1) + 3(X2), what is the y intercept?
130
5
3
8
2.5 points
Question 11
Reading
left to right, a negative slope looks like a line going ________, while
a positive slope looks like a line going ________.
uphill; downhill
downhill; downhill
downhill; uphill
uphill; uphill
2.5 points
Question 12
The Pearson correlation coefficient is symbolized:
r
x
c
t
2.5 points
Question 13
A positive correlation between head size and foot size indicates that:
having a large head causes a person to have large feet.
having large feet causes a person to have a large head.
people with larger feet also tend to have larger heads.
people with larger feet tend to have smaller heads.
2.5 points
Question 14
Once we have an equation for a straight line through our data, we can:
look at each value on the x-axis and predict its corresponding value on the y-axis.
speculate about the causal relationship.
use an independent-samples t test to compare means.
compute post hoc tests.
2.5 points
Question 15
Correlations help us look at the ________ between two variables.
causal relationship
time sequence
co-relation
difference
2.5 points
Question 16
(Figure:
Age and Penalty Minutes) The following figure depicts the relation
between a hockey player's age and the number of minutes he spent in the
penalty box during the regular 2006–2007 season. The 18 players were
members of the New Jersey Devils hockey team who played in more than 40
games that season. Figure: Age and Penalty Minutes[img src="http://learn.liberty.edu/courses/1/PSYC355_B03_201440/ppg/respondus/pool_PSYC355_EXAM3_Ch1314_122013/image00252bc4fb7.gif" alt="" align="bottom" border="0"> Based
on the scatterplot, what is the relation between a hockey player's age
and the number of minutes he spent in the penalty box?
perfect positive
positive
negative
no relation
2.5 points
Question 17
Before
calculating the correlation coefficient, it is advisable to create a
________ as a way of displaying the association between the two
variables.
scatterplot
line graph
histogram
polygon
2.5 points
Question 18
The standardized regression coefficient is symbolized by:
ρ.
β.
μ.
ψ.
2.5 points
Question 19
Which of the following numbers would represent a perfect correlation?
–1.00
1.00
0
–1.00 or 1.00
2.5 points
Question 20
To predict a single dependent variable from more than one independent variable, which statistical technique would we use?
multiple regression
structural equation modeling
simple linear regression
correlation
2.5 points
Question 21
Regression is to ________ as correlation is to ________.
association; causation
causation; association
relation; prediction
prediction; relation
2.5 points
Question 22
When
the Pearson correlation coefficient is computed on sample data, it is
symbolized by ________, and when it is computed on population data, it
is symbolized by ________.
r; R
ρ;r
r;ρ
R; r
2.5 points
Question 23
Based
on research with her patients, Dr. Sabine knows that the correlation
coefficient between scores on an anxiety scale and comfort at a social
gathering is –0.35. According to guidelines established by Cohen, how
could we characterize the strength of this relationship?
small
medium
large
very large
2.5 points
Question 24
Psychometricians are concerned with:
developing high quality tests and measures.
fixing psychological issues in people.
studying illness and the onset of psychological illness.
statistics and computers.
2.5 points
Question 25
The tendency of scores that are particularly high or low to drift toward the mean over time is called:
simple linear regression.
standard error of the mean.
regression to the mean.
standard error of the estimate.
2.5 points
Question 26
With
regression we are concerned about variability around the ________,
rather than variability around the ________ which would be the case in t
tests or ANOVAs.
mean; outliers
median; tails of the distribution
line of best fit; mean
outliers; line of best fit
2.5 points
Question 27
A
Pearson correlation coefficient is calculated for 48 individuals. What
value of df should be used to determine statistical significance in
hypothesis testing?
48
46
47
45
2.5 points
Question 28
Test-retest reliability is determined by:
administering
the same measure to the same sample at two different points in time and
calculating the correlation between an individual's performance on the
two administrations.
administering
the same measure to two different samples at two different points in
time and calculating the correlation between an individual's performance
at the two different times
correlating
the odd numbered items of a measure with an individual's performance on
the even numbered items of that same measure.
correlating
the odd numbered items of a measure with an individual's performance on
the even numbered items of a different measure.
2.5 points
Question 29
Which of the following numbers would indicate the strongest relationship between two variables?
–0.25
0.59
0.65
–0.72
2.5 points
Question 30
In the formula Ŷ = a + b (X), a is the:
slope.
intercept.
predicted value for the dependent variable.
observed value on the independent variable.
2.5 points
Question 31
What kind of correlation would you expect to find between the age of a car (nonclassic. and its value?
positive
zero
negative
perfect positive
2.5 points
Question 32
What is the research hypothesis when testing for significance using the Pearson correlation coefficient?
μ 1 = μ 2
ρ= 0
ρ0
r= 1
2.5 points
Question 33
Simple linear regression allows us to:
determine the relation among four or more variables.
predict an individual's score on a dependent variable from her score on multiple independent variables.
predict an individual's score on the dependent variable from her score on the independent variable.
infer the direction of causal relations.
2.5 points
Question 34
In the formula Ŷ = a + b (X), b is the:
slope.
intercept.
predicted value for the dependent variable.
observed value on the independent variable.
2.5 points
Question 35
The three main characteristics of the correlation coefficient include all of the following except:
it can be either positive or negative.
positive correlations are more common than negative correlations.
it is the strength of the coefficient, not its sign, that indicates how large it is.
it always falls between –1.0 and 1.0.
2.5 points
Question 36
Levene’s test evaluates the assumption that
the means of the groups are homogeneous, or equal.
the difference between the scores of the groups are significant.
the scores are normally distributed.
the variances of the groups are homogeneous, or equal.
2.5 points
Question 37
Below are the possible results of a one-way ANOVA with an alpha level set at .05. Which results are significant?
F(2, 31) = 7.98, p = .06
F(2, 31) = 9.87, p = .50
F(2, 31) = 12.3, p = .04
F(2, 31) = 10.7, p = .12
2.5 points
Question 38
The most common way for an independent samples t test to be reported in a research article is
t(45) = 3.5, p < .05.
t(i:29) < .05.
t(independent) = 2.9, significant.
independent t(15): 30, p: significant.
2.5 points
Question 3910
At the end of a hypothesis test (like any one of the t-tests for example), the researcher must use the results to
try to prove that the research hypothesis is absolutely true.
make a decision about whether or not to reject the null hypothesis.
make a definitive statement that the null hypothesis is either true or false.
support his or her theoretical preconceptions, regardless of the outcome.
2.5 points
Question 40
A
psychologist wants to determine whether different psychiatric diagnoses
affect the length of stay for patients in a residential treatment
facility. She collects data on length of stay for patients with three
different diagnoses: affective disorders, drug-related disorders, and
cognitive disorders. She compares the scores of these three groups.
Which type of test should she use to analyze the results?
independent-samples t-test
bivariate regression analysis
one-way ANOVA
two-way ANOVA

Need help with this 2 tes

Need help with this 2 tes

Question 1
A(n) ________ occurs when ________ independent variable(s) have an effect in combination with one another.
interaction; two or more
interaction; two or less
main effect; two or more
main effect; two or less
2.5 points
Question 2
Interested
in the effects of different kinds of instruction on videogame
performance, Martin asks 30 college freshmen to each play an hour of
Ratchet and Klank. Participants are randomly assigned to one of three
instruction groups: (1) complete the tasks as quickly as possible, (2)
conserve as much health as possible (i.e., play more carefully), or (3)
find gold bolts (worth lots of money in equipment and ammunition). If
Martin averages the scores for each instruction group and then compares
them, any differences in the means of the instruction groups reflect:
individual differences in hand-eye coordination.
inherent differences in the ability of the college freshmen to play video games.
within-groups variance.
between-groups variance.
2.5 points
Question 3
Why can't a researcher just run multiple t tests when the independent variable has more than two levels?
As you run more statistical tests, it becomes harder and harder to reject the null hypothesis.
As you run more statistical tests, the probability that you will make a Type I error in one of the tests increases.
As you run more statistical tests, you lose degrees of freedom.
As you run more statistical tests, the probability that you will make a Type III error in one of those tests increases.
2.5 points
Question 4
________ is a term used to describe an independent variable in a study with more than one independent variable.
Interaction
Main effect
Effect
Factor
2.5 points
Question 5
(Table:
Coping with Pain) The cells of this study reflect an interaction
between coping style and cognitive strategy. Which statement best
describes the interaction?
People
using both distraction and sensation-monitoring cognitive strategies
were able to keep their hand in the ice water for longer than 60
seconds, on average.
People using a sensation-monitoring strategy were able to keep their hand in the ice water for longer.
People using a distraction strategy were able to keep their hand in the ice water for longer.
The
effect of cognitive strategy depended on the coping style of the
participant. Those with an avoiding coping style kept their hand in the
ice water longer when using a distraction strategy, but those with a
monitoring coping style kept their hand in the ice water longer when
using a sensation-monitoring strategy.
2.5 points
Question 6
A five-way ANOVA has:
five dependent variables and two independent variables.
one dependent variable and five independent variables.
one dependent variable and four independent variables.
five dependent variables and five independent variables.
2.5 points
Question 7
The F ratio is calculated by:
dividing a measure of within-groups variability by a measure of between-groups variability.
averaging the results from the t tests for all possible two-group comparisons.
dividing a measure of between-groups variability by a measure of within-groups variability.
initially squaring all the scores.
2.5 points
Question 8
According to Cohen's conventions, an R2 of 0.19 is considered to be a(n) ________ effect size.
small
medium
large
erroneous
2.5 points
Question 9
Given
a scale dependent variable and a nominal independent variable with
three or more levels, we could use a(n) ________ to analyze the data.
PRE test
z test
t test
ANOVA
2.5 points
Question 10
A researcher wants to statistically test whether gender affects math test scores. Which test should the researcher use?
one-way ANOVA
two-way ANOVA
three-way ANOVA
within-groups ANOVA
2.5 points
Question 11
In a two-way ANOVA, the researcher makes decisions regarding ________ null hypotheses.
three separate
two separate
three interdependent
two interdependent
2.5 points
Question 12
A
researcher wants to examine people's preference for pets by having 10
people act as “foster owners” for four different types of family pets:
dogs, cats, birds, and fish. The participants will foster each type of
pet for one week, and a scale measure will be used to assess preference.
What research design should be used?
one-way between-groups ANOVA
correlation
one-way within-groups ANOVA
paired-samples t tests
2.5 points
Question 13
The F ratio is a ratio of:
two (or more) sample means.
two variances.
sample means divided by sample variances.
two sum-of-squares estimates.
2.5 points
Question 14
A post-hoc test is warranted when:
the F is significant and there are more than two groups.
we fail to reject the null hypothesis in an ANOVA.
we reject the null hypothesis when performing an independent-groups t test.
we have an a priori prediction about which group means will differ.
2.5 points
Question 15
A hypothesis test with two nominal independent variables and a scale dependent variable is a:
one-way ANOVA.
two-way ANOVA.
two-groups t test.
two-groups z test.
2.5 points
Question 16
A within-groups ANOVA is used when we have ________ independent variable(s) with ________ levels.
1; more than 2
2; more than 2
1; less than 2
2; less than 2
2.5 points
Question 17
Which degrees of freedom value is unique to the one-way within-groups ANOVA?
between-groups
subjects
within-groups
total
2.5 points
Question 18
The Bonferroni, Scheffé, and Tukey are all examples of:
hypothesis tests.
post-hoc tests.
effect size statistics.
confidence intervals.
2.5 points
Question 19
In Zinman and Zitzewitz's (2009) research on snowfall reports, they found the following interaction:
the amount of snowfall reported by resorts was always exaggerated, but that phenomenon was even greater on the weekends.
weekday snow reports were less interesting to skiers than weekend reports.
snowfall reports were more common during weekends than weekdays, but this was even more true when there was fresh snow.
snowfall
reports were exaggerated, and this was more pronounced for the weather
reports provided by radio stations compared to resorts.
2.5 points
Question 20
A
researcher is interested in whether circadian rhythms influence
participants' performance on different kinds of memory tests. The
researcher first classifies participants according to whether each is a
morning person or evening person. The researcher then randomly assigns
participants to receive either an implicit memory test or an explicit
memory test. The researcher next tests everyone at 8 A.M. How many cells
does this study have?
2
4
6
8
2.5 points
Question 21
The z, t, and F calculations have something in common: the numerator of the test statistic:
contains a measure of difference among groups.
contains a measure of sample variability.
is a squared number.
represents what would be expected to happen by chance.
2.5 points
Question 22
The assumptions for all ANOVAs are the same and include all of the following EXCEPT:
random selection of participants
population is normally distributed
population variances are equal
participants are all different across conditions
2.5 points
Question 23
________ is the proportion of variance in the dependent variable that is accounted for by the independent variable.
t
Cohen's d
R2
z
2.5 points
Question 24
According to Cohen's conventions, an effect size of 0.019 for a one-way within-groups ANOVA is considered to be:
small.
medium.
medium-to-large.
large.
2.5 points
Question 25
Forys
and Dahlquist (2007) investigated the effects of coping style and
cognitive strategy on dealing with pain. Participants were first
classified as having a monitoring or avoiding coping style. Participants
were then randomly assigned to one of two cognitive strategy
conditions, distraction or sensation monitoring. Participants were next
instructed to use the cognitive strategy while submerging their hand in
ice water. The researchers measured pain tolerance as the number of
seconds participants were able to keep their hand in the ice water. How
would you label the ANOVA used to analyze this data?
4 × 2 between-groups ANOVA
4 × 2 within-groups ANOVA
2 × 2 between-groups ANOVA
2 × 2 within-groups ANOVA
2.5 points
Question 26
Identify the correct formula for degrees of freedom between-groups:
Ngroups – 1
n – 1
Ntotal – 1
n – 2
2.5 points
Question 27
A
researcher is interested in whether circadian rhythms influence
participants' performance on different kinds of memory tests. The
researcher first classifies participants according to whether each is a
morning person or an evening person. The researcher then randomly
assigns participants to receive either an implicit memory test or an
explicit memory test. The researcher then tests everyone at 8 A.M. How
would you label the ANOVA used to analyze these data?
4 × 2 between-groups ANOVA
4 × 2 within-groups ANOVA
2 × 2 between-groups ANOVA
2 × 2 within-groups ANOVA
2.5 points
Question 28
A measure of the differences among group means is:
the z score.
between-groups variance.
within-groups variance.
the proportionate reduction in error.
2.5 points
Question 29
An interaction occurs when:
the dependent variable does not depend on any of the independent variables.
two independent variables both influence the dependent variable.
the effects of one independent variable depend on the level of the other independent variable.
a single independent variable changes the dependent variable, disregarding all other variables in the study.
2.5 points
Question 30
F is obtained by dividing ________ by ________.
SSbetween; dfbetween
MSbetween; MSwithin
dfbetween; SSbetween
SSbetween; SSwithin
2.5 points
Question 31
In
addition to assessing whether each independent variable has an effect
on the dependent variable, a factorial ANOVA also allows you to:
use multiple dependent measures in a single analysis.
control
for a third variable that might be related to the dependent measure,
prior to investigating the independent variable of interest.
determine whether the effects of one factor depend on the other factor.
partition out the variability due to individual differences and the variability due to measurement error.
2.5 points
Question 32
Heteroscedastic populations are those that:
have the same variance.
have homogeneity of means.
share common means.
have different variances.
2.5 points
Question 33
According to Cohen's conventions, an effect size of 0.29 for a one-way within-groups ANOVA is considered to be:
small.
medium.
medium-to-large.
large.
2.5 points
Question 34
An effect size of 0.015 for a two-way ANOVA is considered to be:
small.
medium.
large.
an error.
2.5 points
Question 35
If you calculate an F statistic and find that it is negative, then you know that:
the within-groups variance exceeds the between-groups variance.
the difference among the group means is greater than what would have occurred by chance.
you have made a calculation error.
the difference among the group means is less than what would have occurred by chance.
2.5 points
Question 36
A
boarding school (where students live and go to school) wants to find
out if students’ scores on a Happiness Rating Scale change over the
course of their first year. To this end, they administer the rating
scale to students during the first week, and again at the end of the
school year. Which type of t-test should the school staff use to test
whether there is a significant change in happiness ratings?
t-test for independent means
one-sample (single sample) t-test
t-test for dependent means
a combination of all 3.
2.5 points
Question 37
If
the results of a two-tailed t-test were to be presented in a research
article, and there were 25 participants, what is the appropriate number
in parentheses after the t?
t(25)
t(1)
t(2)
t(24)
2.5 points
Question 38
A
community psychologist observes that children in a certain school tend
to score lower on standardized math tests than students at other schools
in the district. He knows that the mean scores of children in the
district as a whole is 110. Which type of t-test should he use to
determine whether the scores of the children in the school differ
significantly from the scores in the school district overall?
t-test for independent means
one-sample (single sample) t-test
t-test for dependent means
none of the above
2.5 points
Question 39
A
psychologist publishes a paper based on a study and states that the
results are significant at the .05 level. Based on this information,
which of the following could be the p value of the results of the study?
.045
.4
.104
.06
2.5 points
Question 40
A
social psychologist wants to test whether introverts and extroverts
have different numbers of friends on a social networking site. She
administers a personality test and, based on the results, divides the
participants into 2 groups, Introverts and Extroverts. She then surveys
the groups to find out how many friends they have recorded on the social
networking site. Which type of t-test should she use to analyze the
results?
t-test for independent means
one-sample (single sample) t-test
t-test for dependent means
It doesn’t matter, any of them should work.

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