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HSCI 345 Exam UPDATED QUESTIONS AND CORRECT ANSWERS

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HSCI 345 Exam UPDATED QUESTIONS AND CORRECT ANSWERS The covariance is A) An unstandardized version of the correlation coefficient B) A measure of the strength of a relationship between two variables C) Dependent on units of measurement of the variables D) All of the above - CORRECT ANSWER A scatterplot shows - CORRECT ANSWER scores on a second variable. D) All of the above Scores on one variable plotted against Which of the following statements about the Pearson's correlation coefficient is not true? A) It can be used as an effect size measure. B) It varies between -1 and +1. C) It cannot be used with binary variables (those taking on a value of 0 or 1). D) It can be used on ranked data. - CORRECT ANSWER binary variables (those taking on a value of 0 or 1). C) It cannot be used with The correlation between two variables A and B is 0.12 with significance of P .01. What can we conclude? - CORRECT ANSWER B) That there is a small relationship between A and B.* Correlation as an effect size ● +/- 0.1= small effect ● +/- 0.3= medium effect ● +/- 0.5= large effect - CORRECT ANSWER

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HSCI 345 Exam UPDATED QUESTIONS
AND CORRECT ANSWERS
The covariance is

A) An unstandardized version of the correlation coefficient

B) A measure of the strength of a relationship between two variables

C) Dependent on units of measurement of the variables

D) All of the above - CORRECT ANSWER D) All of the above



A scatterplot shows - CORRECT ANSWER Scores on one variable plotted against
scores on a second variable.


Which of the following statements about the Pearson's correlation coefficient is not true?

A) It can be used as an effect size measure.

B) It varies between -1 and +1.

C) It cannot be used with binary variables (those taking on a value of 0 or 1).

D) It can be used on ranked data. - CORRECT ANSWER C) It cannot be used with
binary variables (those taking on a value of 0 or 1).



The correlation between two variables A and B is 0.12 with significance of P< .01. What can
we conclude? - CORRECT ANSWER B) That there is a small relationship between A
and B.*



Correlation as an effect size
● +/- 0.1= small effect

● +/- 0.3= medium effect

● +/- 0.5= large effect - CORRECT ANSWER



How much variance has been explained by a correlation of 0.9? - CORRECT
ANSWER 81%

, When interpreting a correlation coefficient, it is important to look at: - CORRECT
ANSWER A) The significance of the correlation coefficient.

B) The magnitude of the correlation coefficient.

C) The sign of the correlation coefficient.


The relationship between two variables, controlling out the effect that a third variable has on
one of those variables can be expressed using a: - CORRECT ANSWER A) Semi-
partial correlation.


Twenty people took part in a study in which they completed two questionnaires: one that
measured - CORRECT ANSWER C) A correlational study



If there were a perfect positive correlation between two interval/ratio variables. Pearson's test
would give correlation coefficient of - CORRECT ANSWER +1



What is the name of the test that is used to access the relationship between two ordinal
variables? - CORRECT ANSWER Spearmans Rho Test



What is meant by a "spurious" relationship between two variables - CORRECT
ANSWER C) A relationship that appears to be true because each variable is related to a
third one



A researcher conducts some research in which they identify a significant positive correlation (
r=0.42) between the number of children a person has and their life satisfaction. Which of the
following is inappropriate to conduct in research? - CORRECT ANSWER B) That
someone who has children is likely to be happier than someone who doesn't.



One of the factors that affect the reliability of findings from studies using correlation is -
CORRECT ANSWER A) The number of variables being investigated.

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