The scatterplot below depicts an explanatory variable, X, plotted with a response
variable, Y:
{{ Scatterplot who's points are relatively close together and are trending right and up }}
What is the most reasonable estimate of the correlation coefficient between X and Y?
A) −0.9
B) −0.5
C) 0.5
D) 0.9
0.9
,A and B are events associated with an experiment with P( A) = .3 and P( B) = .5.
If A and B are independent, then what is the probability that A or B occurs?
A) .15
B) .5
C) .65
D) .8
.65
How will removal of the outlier affect the relationship between missed work days and
health rating in the scatterplot below?
{{ Scatterplot trending down and to the left with an outlier below the surrounding points
}}
A) It will weaken the positive relationship.
B) It will weaken the negative relationship.
C) It will strengthen the negative relationship.
D) It will strengthen the positive relationship.
It will strengthen the negative relationship.
,A study was conducted to see if blood type influenced height.
Which type of classification is this?
A) Categorical to categorical
B) Categorical to quantitative
C) Quantitative to quantitative
D) Quantitative to categorical
Categorical to quantitative
Salespeople at a large company are randomly assigned to two groups: one that
completes training on new products and one that receives no training. The group that
received training had a significantly higher average sales volume than the group that did
not.
What is the appropriate conclusion?
A) There is a causal relationship between training and sales volume.
B) There is no association between training and sales volume.
C) There is an association between training and sales volume, but a causal relationship
cannot be concluded.
D) There is a causal relationship between training and sales volume, but an association
cannot be concluded.
, There is a causal relationship between training and sales volume.
A researcher is trying to determine if promotions are based on gender. The researcher
studies two companies and records the gender of the employees that received pay
grade promotions during the last year.
The results are shown in the following table:
....................Female employees promoted..Male employees promoted
Endothon Company....511/825 = 62%..............89/108 = 82%
Quality Apple Farms.137/417 = 33%..............131/375 = 35%
Total...............648/1242 = 52%.............220/483 = 46%
Is Simpson's paradox evident in this data?
A) Yes, because while each of the companies promoted a higher percentage of male
employees, overall a higher percentage of women were promoted
B) Yes, because the overall promotion rates were different
C) No, because a higher percentage of female employees were promoted by each
company
D) No, because a higher percentage of male employees were promoted by each
company
Give this one a try later!
Yes, because while each of the companies promoted a higher percentage of
male employees, overall a higher percentage of women were promoted
Which type of correlation is shown in the scatterplot below?
{{ Scatterplot starting from point (10.9,13.5) to (14.6,15.2) }}
variable, Y:
{{ Scatterplot who's points are relatively close together and are trending right and up }}
What is the most reasonable estimate of the correlation coefficient between X and Y?
A) −0.9
B) −0.5
C) 0.5
D) 0.9
0.9
,A and B are events associated with an experiment with P( A) = .3 and P( B) = .5.
If A and B are independent, then what is the probability that A or B occurs?
A) .15
B) .5
C) .65
D) .8
.65
How will removal of the outlier affect the relationship between missed work days and
health rating in the scatterplot below?
{{ Scatterplot trending down and to the left with an outlier below the surrounding points
}}
A) It will weaken the positive relationship.
B) It will weaken the negative relationship.
C) It will strengthen the negative relationship.
D) It will strengthen the positive relationship.
It will strengthen the negative relationship.
,A study was conducted to see if blood type influenced height.
Which type of classification is this?
A) Categorical to categorical
B) Categorical to quantitative
C) Quantitative to quantitative
D) Quantitative to categorical
Categorical to quantitative
Salespeople at a large company are randomly assigned to two groups: one that
completes training on new products and one that receives no training. The group that
received training had a significantly higher average sales volume than the group that did
not.
What is the appropriate conclusion?
A) There is a causal relationship between training and sales volume.
B) There is no association between training and sales volume.
C) There is an association between training and sales volume, but a causal relationship
cannot be concluded.
D) There is a causal relationship between training and sales volume, but an association
cannot be concluded.
, There is a causal relationship between training and sales volume.
A researcher is trying to determine if promotions are based on gender. The researcher
studies two companies and records the gender of the employees that received pay
grade promotions during the last year.
The results are shown in the following table:
....................Female employees promoted..Male employees promoted
Endothon Company....511/825 = 62%..............89/108 = 82%
Quality Apple Farms.137/417 = 33%..............131/375 = 35%
Total...............648/1242 = 52%.............220/483 = 46%
Is Simpson's paradox evident in this data?
A) Yes, because while each of the companies promoted a higher percentage of male
employees, overall a higher percentage of women were promoted
B) Yes, because the overall promotion rates were different
C) No, because a higher percentage of female employees were promoted by each
company
D) No, because a higher percentage of male employees were promoted by each
company
Give this one a try later!
Yes, because while each of the companies promoted a higher percentage of
male employees, overall a higher percentage of women were promoted
Which type of correlation is shown in the scatterplot below?
{{ Scatterplot starting from point (10.9,13.5) to (14.6,15.2) }}
