Deck 4: Sampling, Correlation, and Regression Analysis

Question 1

The type of sampling in which each member of the population selected for the sample is returned to the population before the next member is selected is called _________

A)sampling without replacement
B)sampling with replacement
C)simple random sampling
D)systematic sampling

Answer 1

sampling with replacement

Question 2

___________ is a set of elements taken from a larger population according to certain rules

A)sample
B)population
C)statistic
D)element

Answer 2

sample

Question 3

Questionnaires can address events and characteristics taking place ______

A)in the past (retrospective questions)
B)in the present (current time questions)
C)in the future (prospective questions)
D)all of the above

Answer 3

all of the above

Question 4

Which of the following terms best describes data that were originally collected at an earlier time by a different person for a different purpose

A)primary data
B)secondary data
C)experimental data
D)field notes

Question 5

Correlation refers to

A)the causal relationship between two variables
B)the association between two variables
C)the proportion of variance that two variables share
D)a statistical method that can only be used with a correlational research design

Question 6

If two variables are highly correlated, what do you know

A)that they always go together
B)that high values on one variable lead to high values on the other variable
C)that there are no other variables responsible for the relationship
D)that changes in one variable are accompanied by predictable changes in the other

Question 7

A researcher finds a correlation of 0.40 between personal income and the number of years of college completed. Based upon this finding he can conclude that

A)a person who attended four years of college will have an annual income of rs. 40,000
B)more years of education causes higher income
C)personal income is a positively skewed variable
D)more years of education are associated with higher income

Question 8

Which of the following would not allow you to calculate a correlation?

A)a negative relationship between x and y
B)a positive relationship between x and y
C)a curvilinear relationship between x and y
D)a linear relationship between x and y

Question 9

Correlation relates the relative position of a score in one distribution to

A)the relative position of a score in another distribution
B)the mean of the z-scores from another distribution
C)the total variance of all scores in both distributions
D)the standard deviation of the z-scores for both distributions

Question 10

If a positive correlation exists between height and weight, a person with above average height is expected to have above average weight

A) true
B) false
C) insufficient information to draw a conclusion
D) any of the above

Question 11

Regression analysis:

A)measures the demand for a good
B)measures growth
C)establishes cause and effect
D)establishes a relationship between two variables

Question 12

In the equation of a straight line, Y = mX + c the term, m is the:

A)independent variable
B)intercept
C)dependent variable
D)slope

Question 13

In the equation of a straight line, Y = mX + c , if c is equal to zero then:

A)the line of best fit passes through the origin
B)the line of best fit cuts the x axis to the right of the y axis
C)does not cross the x axis
D)the line of best fit cuts the x axis to the left of the y axis

Question 14

In the equation of a straight line, Y = mX + c , if m is equal to ?2 then:

A)there is a positive relationship between the two variables
B)there is no relationship between the two variables
C)there is a negative relationship between the two variables
D)the relationship between the two variables is perfect

Question 15

In the equation of a straight line, Y = mX + c , if m is equal to zero then when:

A)x increases y decreases
B)y increases x increases
C)x increases y increases
D)x increases y remains constant

Question 16

The mathematical notation R2 is for:

A)the co-efficient of determination
B)the co-efficient of variation
C)spearman's co-efficient of rank correlation
D)pearson's co-efficient of correlation

Question 17

If the slope of the regression line is calculated to be 2.5 and the intercept 16 then the value of Y when X is 4 is:

A)16
B)66.5
C)2.5
D)26

Question 18

If Spearman's co-efficient of rank correlation is equal to one, then:

A)all the 'total variation' is 'explained' by the regression line
B)the rankings of the two variables partially agree
C)the rankings of the two variables is totally different
D)the rankings of the two variables totally agree