Question
When data analysis involves at least two different characteristics or quantities ( i.e., two or more variables), then the data set is known as _______________.A
When data analysis involves at least two different characteristics or quantities (i.e.,two or more variables), then the data set is known as _______________.A special case is when exactly two variables are involved; such a data set is known asbivariate.
Answer:
The human resources manager at the flagship store of Paisley's Department Store recently reviewed some demographics, specifically gender and employment status, about the sales floor workforce.The information appears in the following contingency table:
Full-Time Part-Time Subtotals
Female 24 66
Male 12 48
Subtotals
Complete the marginal distribution.
A member of the sales force is randomly selected.[COMMENTS&HINTS:Enter your answer as a simplified fraction, expressed horizontally.]
(c)Giventhat the salesperson was a part-time worker, what is the likelihood that the person was a female?
Answer:
The human resources manager at the flagship store of Paisley's Department Store recently reviewed some demographics, specifically gender and employment status, about the sales floor workforce.The information appears in the following contingency table:
Full-Time Part-Time Subtotals
Female 24 66
Male 12 48
Subtotals
Complete the marginal distribution.
A member of the sales force is randomly selected.[COMMENTS&HINTS:Enter your answer as a simplified fraction, expressed horizontally.]
(d)Giventhat the salesperson was a part-time worker, what is the likelihood that the person was a male?
Answer:
The human resources manager at the flagship store of Paisley's Department Store recently reviewed some demographics, specifically gender and employment status, about the sales floor workforce.The information appears in the following contingency table:
Full-Time Part-Time Subtotals
Female 24 66
Male 12 48
Subtotals
Complete the marginal distribution.
A member of the sales force is randomly selected.[COMMENTS&HINTS:Enter your answer as a simplified fraction, expressed horizontally.]
(e)Giventhat the salesperson was a female, what is the likelihood that the person was a full-time worker?
Answer:
The human resources manager at the flagship store of Paisley's Department Store recently reviewed some demographics, specifically gender and employment status, about the sales floor workforce.The information appears in the following contingency table:
Full-Time Part-Time Subtotals
Female 24 66
Male 12 48
Subtotals
Complete the marginal distribution.
A member of the sales force is randomly selected.[COMMENTS&HINTS:Enter your answer as a simplified fraction, expressed horizontally.]
(f)Giventhat the salesperson was a female, what is the likelihood that the person was a part-time worker?
Answer:
The human resources manager at the flagship store of Paisley's Department Store recently reviewed some demographics, specifically gender and employment status, about the sales floor workforce.The information appears in the following contingency table:
Full-Time Part-Time Subtotals
Female 24 66
Male 12 48
Subtotals
Complete the marginal distribution.
A member of the sales force is randomly selected.[COMMENTS&HINTS:Enter your answer as a simplified fraction, expressed horizontally.]
(g)Giventhat the salesperson was a male, what is the likelihood that the person was a full-time worker?
Answer:
The human resources manager at the flagship store of Paisley's Department Store recently reviewed some demographics, specifically gender and employment status, about the sales floor workforce.The information appears in the following contingency table:
Full-Time Part-Time Subtotals
Female 24 66
Male 12 48
Subtotals
Complete the marginal distribution.
A member of the sales force is randomly selected.[COMMENTS&HINTS:Enter your answer as a simplified fraction, expressed horizontally.]
(g)Giventhat the salesperson was a male, what is the likelihood that the person was a part-time worker?
Answer:
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Discrete Mathematics With Applications
Authors: Susanna S Epp
5th Edition
0357035283, 9780357035283
