Based on historical data, an insurance company estimates that a particular customer has a 2.4% likelihood of having an accident in the next year, with the average insurance payout being $2700.

if the company charges this customer an annual premium of $250, what is the company's expected value of this insurance policy?

The expected value of this insurance policy is kept at $185.2 based on the historical data provided

Step-by-step explanation:

probability/likelihood of having an accident by the customer is = 2.4% which is 2.4÷100 = 0.024 probability :

The cost to the company at 0.024 probability of having an accident

=  - $2700 (average insurance payout)

probability of not having an accident by the customer is =  100% - 2.4%  = 97.6% which is 97.6 ÷ 100 = 0.976 probability

The cost to the company at 0.976 probability of no accident = $0

The premium paid by the customer annually is = $250

Therefore to get the expected value of the insurance policy (E) will be

(probability of accident) (average insurance payout) + (probability of no accident) (cost of no accident to the company) + premium paid by customer  

0.024(-$2700) + 0.976($0) + $250 = $185.2

- $64.8 + $0 + $250 = $185.2

3.4 pizzas

step-by-step explanation:

given is a scatter plot showing number of pizzas sold during weeks for different issues of coupon

y represents number of pizzas sold and x number of coupons issued

y is marked verticaly and x horizontally

the trend line is given as

y =3.4x+43

this says that even when no coupon is issued pizzas sold will be 43

and rate of change of pizza sold for 1 unit of coupon = slope = 3.4

i.e. when x increases by 1 unit y increases by 3.4 units

hence for each additional coupon issued 3.4 pizzas more will be sold