Suppose a basketball player has made 233 out of 402 free throws. if the player makes the next 3 free throws, i will pay you $166. otherwise you pay me $40. step 1 of 2: find the expected value of the proposition. round your answer to two decimal places. losses must be expressed as negative values.

There expected value of the proposition for you is -11 cents, that is, you are expected to lose $0.11.

Step-by-step explanation:

The first step to solve this problem is finding the probability that he makes 3 of his next 3 free throws.

The problem states that he makes 233 out of 402 free throws. This means that the probability that he makes a free throw is .

The probability that he makes his next 3 free throws is

if the player makes the next 3 free throws, i will pay you $166. otherwise you pay me $40.

There is a 19.47% probability of him making the next three free throws. This means that there is a 19.47% probbability of you losing $166.

There is a 100-19.47 = 80.53% probability of him not making the next three free throws. This means that there is an 80.53% probability of you winning $40.

So, for you, the expected value of the proposition is:

There expected value of the proposition for you is -11 cents.

option 1 is correct.

step-by-step explanation:

y varies inversely with x and constant of variation is 4

the equation will be:

y = k/x

where k =4 so,

y = 4/x

if we put values of x of option 1 in the above equation and find values of y

y = 4/-2 => y =-2

y = 4/-1 => y = -4

y = 4/1 => y = 4

y = 4/2 => y =2

so, all the values of x and y are correct.

if we put values of x given in other options and find value of y we cannot find whole table satisfying the equation.

hence option 1 is correct.

a. the residual plot for model 1 has a random pattern and is a good fit for the data.