here P(A u B u C)=1
P(A)=1.6*P(B)
P(A n B)=0
P(A n C)=P(A)*P(C) ;
P(B n C)=P(B)*P(C)
P(C)=0.55
P(C)-P(C n A)-P(C nB)+P(A n B nC) =0.13
0.55-0.55*P(A)-0.55*P(B)+0=0.13
0.55*2.6*P(B)=0.55-0.13
P(B)=0.2937
P(A)=1.6*0.2937=0.4699
therefore P(exactly one product)=P(A)+P(B)+P(C)-2*P(A n B)-2*P(B n C)-2*P(A n C)+3*P(A n B nC)
=0.4699+0.2937+0.55-2*0-2*0.4699*0.55-2*0.2937*0.55+3*0=0.4736
A small online retailer sells three products: Product A, Product B, and Product C. A study...
An online retailer is studying product reviews and wants to see
if customer satisfaction and timeliness of delivery are related.
They randomly survey 100 customers. They found that 70% of those
whose product arrived ahead of the estimated delivery date said
they were satisfied with the product. Only 60% whose product did
not arrive ahead of the estimated date said they were satisfied.
Overall, 40% of packages arrived ahead of the estimated delivery
date.
1. Based on this survey, fill...
An online retailer is studying product reviews and wants to see if customer satisfaction and timeliness of delivery are related. They randomly survey 100 customers. They found that 70% of those whose product arrived ahead of the estimated delivery date said they were satisfied with the product. Only 10% whose product did not arrive ahead of the estimated date said they were satisfied. Overall, 80% of packages arrived ahead of the estimated delivery date. For each blank below you have...
A retailer sells four items i = 1, 2, 3, 4. Their weekly demand characteristics are the same, with a mean demand of µi = 100 units, and a standard deviation of σi = 10 units. The four items are also independent of one another (wherever you need to, you can assume the covariance is 0). The retailer does not know exactly how the item demands are distributed, but they assume they follow a normal distribution. Answer the following questions....
This is in C.
4.19 (Calculating Sales) An online retailer sells five different products whose retail prices are shown in the following table: Product number Retail price $ 2.98 $ 4.50 $9.98 $ 4.49 $6.87 Write a program that reads a series of pairs of numbers as follows: a) Product number b) Quantity sold for one day Your program should use a switch statement to help determine the retail price for each product. Your program should calculate and display the...
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47. When the price of a product is very small relative to purchasing pow oduct is very small relative to purchasing power or income, demand a. Elastic b. Inelastic c. Absolute d Unitary e. Stable 48. All of the following are examples of secondary data EXCEPT: & a first-time physical count of the number of cars passing through an intersection to determine the need for a traffic signal b. a census report on the number of people who are native...