Hi Lakotah,
This problem is similar to the one you posted last night--it involves conditional probability, Bayes' Theorem, and the Addition and Multiplication Rules.
a. Use the Addition Rule:
P(A or B)= P(A) + P(B) - P(A and B)
A= Cash
B= Spent $50
P(A)= 47/75
P(B)= 23/75
P(A and B)= 9/75 (Look at row 1 , column 3)
Substitute these values into Addition Rule above, and you will have probability of cash or >$50 purchase.
b. This can be taken directly from row 1, column 3. Corresponding probability is:
9/75= 0.1200
c. Use Bayes' Theorem:
P(A given B)= P(A and B) / P(B)
A=Cash
B=Spent > $50
P(A and B) = 9/75 (Row 1, column 3)
P(B)= 23/75
P(A given B) = (9/75) / (23/75)
Do those calculations and you will have the probability that a patron paid cash given they spent over $50.
d. To find the probability a customer spent less than $50, you need to add the under $10 and $10 to $49 columns together. This is: (24 + 28) = 52
Now, divide that by the total shoppers:
P= 52/75
Do this computation and you will have probability that customer spent less than $50.
e. From table, total number of cash purchases was 47. Of those 47, 9 spent $50 or more. So the probability is:
P= 9/47 = 0.1915
But the question asked for a percent, so we multiply by 100:
P= 19.15%
I hope this helps. I also noticed you have a few problems like this on here. If you like, we can set up an online tutoring session to discuss some additional examples.