Need help with this one

Sep 16th, 2014
KateS
Category:
Statistics
Price: $75 USD

Question description

Question 1

  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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. In the equation Ŷ = 130 + 5(X1) + 3(X2), what is the y intercept?

    130

    5

    3

    8

2.5 points  

Question 11

  1. 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

  1. The Pearson correlation coefficient is symbolized:

    r

    x

    c

    t

2.5 points  

Question 13

  1. 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

  1. 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

  1. Correlations help us look at the ________ between two variables.

    causal relationship

    time sequence

    co-relation

    difference

2.5 points  

Question 16

  1. (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

  1. 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

  1. The standardized regression coefficient is symbolized by:

    ρ.

    β.

    μ.

    ψ.

2.5 points  

Question 19

  1. 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

  1. 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

  1. Regression is to ________ as correlation is to ________.

    association; causation

    causation; association

    relation; prediction

    prediction; relation

2.5 points  

Question 22

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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

  1. 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


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