The client company data from the New Vision consulting firm reveal that 155 employees worked one of four types of positions. The raw values matrix (contingency table) with the frequency counts for each job category by gender is presented in the table below. If an employee of the company is selected randomly, what is the probability that the employee is female or an operations manager? Types of Position Gender Male Female Operations Manager Customer relations Manager IT Manager Treasury Manager Total 8 3 31 13 52 17 9. 100 22 55
The client company data from the New Vision consulting firm reveal that 155 employees worked one of four types of positions. The raw values matrix (contingency table) with the frequency counts for each job category by gender is presented in the table below. If an employee of the company is selected randomly, what is the probability that the employee is female or an operations manager? Types of Position Gender Male Female Operations Manager Customer relations Manager IT Manager Treasury Manager Total 8 3 31 13 52 17 9. 100 22 55
Chapter8: Sequences, Series,and Probability
Section8.7: Probability
Problem 4ECP: Show that the probability of drawing a club at random from a standard deck of 52 playing cards is...
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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Transcribed Image Text:The client company data from the New Vision consulting firm reveal that 155 employees
worked one of four types of positions. The raw values matrix (contingency table) with the
frequency counts for each job category by gender is presented in the table below. If an employee
of the company is selected randomly, what is the probability that the employee is female or an
operations manager?
Types of Position
Gender
Male
Female
Operations Manager
Customer relations Manager
IT Manager
Treasury Manager
8
3
31
13
52
17
9.
22
Total
100
55
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