QUESTION A recent survey was conducted with 405 respondents at a local grocery store to determine relationships among beverage choices and gender. Using the information provided in the table below (along with the identified Event names), select the correct answer for each of the following questions. Coffee (C) Tea (T) Neither (N) Total 30 220 Men (M) Women (W) 150 40 100 60 25 185 Total 250 100 55 405 - What is the probability that a randomly selected shopper is Male? A. Gender and Beverage preference are independent events - What is the probability that a randomly selected shopper prefers Tea as their beverage? B. P(T|W)=60/185 C. P(W|T) = 60/100 v What is the probability that a randomly selected woman doesn't prefer either coffee or tea? D. P(W and T) = 60/405 E. P(W|C) = 100/250 is not equal P(W) = 185/405 Fee drin ker is a
Unitary Method
The word “unitary” comes from the word “unit”, which means a single and complete entity. In this method, we find the value of a unit product from the given number of products, and then we solve for the other number of products.
Speed, Time, and Distance
Imagine you and 3 of your friends are planning to go to the playground at 6 in the evening. Your house is one mile away from the playground and one of your friends named Jim must start at 5 pm to reach the playground by walk. The other two friends are 3 miles away.
Profit and Loss
The amount earned or lost on the sale of one or more items is referred to as the profit or loss on that item.
Units and Measurements
Measurements and comparisons are the foundation of science and engineering. We, therefore, need rules that tell us how things are measured and compared. For these measurements and comparisons, we perform certain experiments, and we will need the experiments to set up the devices.
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Coffee (C)
Tea (1)
Neither (N)
Total
40
30
220
Men (M)
Women (W)
150
100
60
25
185
Total
250
100
55
405
v What is the probability that a randomly selected shopper is Male?
v What is the probability that a randomly selected shopper prefers
Tea as their beverage?
A. Gender and Beverage preference are independent events
B. P(T|W)=60/185
C. P(W|T) = 60/100
v What is the probability that a randomly selected woman doesn't
prefer either coffee or tea?
D. P(W and T) = 60/405
E. P(W|C) = 100/250 is not equal P(W) = 185/405
v What is the probability that a randomly selected coffee drinker is a
man?
F. P(T) = 100/405
v What is the probability that a randomly selected shopper is a female G. P(M) = 220/405
that prefers tea?
H. P(T or N) = 155/405
- The events "Woman" and "Coffee" are dependent events because
I. P(W|N) = 25/55
- What is the probability that a randomly selected customer selects
either coffee or tea?
J. P(C or T) = 350/405
K. P(M and C) = 150/405
v What is the probability that a randomly selected customer does not
like coffee?
L. P(N|W) = 25/185
M. P(W) = 185/405 is not equal to the P(C) = 250/405
N. P(N and W) = 25/405
O. P(C|M) = 150/220
P. P(W|C) = 100/250 is not equal to P(C|W) = 100/185
Q. P(M|C) = 150/250
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QUESTION 27
A recent survey was conducted with 405 respondents at a local grocery store to determine relationships among beverage choices and gender.
Using the information provided in the table below (along with the identified Event names), select the correct answer for each of the following questions.
Coffee (C)
Tea (T)
Neither (N) Total
30
220
Men (M)
Women (W)
150
40
100
60
25
185
Total
250
100
55
405
v What is the probability that a randomly selected shopper is Male?
v What is the probability that a randomly selected shopper prefers
Tea as their beverage?
A. Gender and Beverage preference are independent events
B. P(T|W)=60/185
C. P(W|T) = 60/100
v What is the probability that a randomly selected woman doesn't
prefer either coffee or tea?
D. P(W and T) = 60/405
E. P(W|C) = 100/250 is not equal P(W) = 185/405
v What is the probability that a randomly selected coffee drinker is a
man?
F. P(T) = 100/405
v What is the probability that a randomly selected shopper is a female G. P(M) = 220/405
that prefers tea?
H. P(T or N) = 155/40
v The events "Woman" and "Coffee" are dependent events because
1. P(W|N) = 25/55
v What is the probability that a randomly selected customer selects
either coffee or tea?
J. P(C or T) = 350/405
K. P(M and C) = 150/405
v What is the probability that a randomly selected customer does not
L. P(N|W) = 25/185
like coffee?
M. P(W) = 185/405 is not equal to the P(C) = 250/405
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