Julie designs gardens for a living. for a year she kept track of the amount of time she spent designing the garden and whether or not the customer returned. she recorded the time and probability that a customer returned. to have the greatest probability of a returning customer, what amount of time should julie spend per customer? time designing probability of return 1-2 hours 5/8 2-3 hours 5/9 3-4 hours 7/8 4-5 hours 3/4 5-6 hours 1/2 6-7 hours 3/7 7-8 hours 2/9 a. 1-2 hours b. 2-3 hours c. 3-4 hours d. 4-5 hours

To have the greatest probability of a returning customer, Julie should 3-4 Hours per customer

Step-by-step explanation:

==> To compare the Time Designing Probability of Return, we need to convert the Probabilities into Percentage form by multiplying them with 100.

1-2 Hour = (5÷8) × 100 = 62.5%

2-3 Hours = (5÷9) × 100 = 55.55%

3-4 Hours = (7÷8) × 100 = 87.5%

4-5 Hours = (3÷4) × 100 = 75%

5-6 Hours = (1÷2) × 100 = 50%

6-7 Hours = (3÷7) × 100 = 42.85%

7-8 Hours = (2÷9) × 100 = 22.22%

To have the greatest probability of a returning customer, Julie should 3-4 Hours per customer