Core Connections Integrated II, 2015
CC
Core Connections Integrated II, 2015 View details
Chapter Closure

Exercise 155 Page 539

a If m∠ ACB=90^(∘), the shaded region occupies 14 of the circle.

This means per spin, the probability of winning is 14. This means that we have a 14 chance of winning $1000 and 34 chance of winning nothing ($0). The expected value for one spin is the sum of the winnings multiplied by their probabilities. E = $1000 1/4 + $0 3/4 = $250 The expected value for one spin is $250.

b If the shaded region is 1^(∘), it makes up 1360 of the spinner. This means that we have a 1360 chance of winning $1000 and 359360 chance of winning nothing ($0). The expected value for one spin is the sum of the winnings multiplied by their probabilities.

E = $1000 1/360 + $0 359/360 ≈ $2.77 The expected value for one spin is approximately $2.77.

c We want to find the probability of winning and the measure of the shaded angle based on the given expectation value of winnings.
Since unless we win $1000 we get nothing, the expectation value E of winnings is $1000 multiplied by the probability of winning it. E = $1000 * P( winning $1000)Let's substitute the known value of the expectation value for E and solve the equation above for P( winning $1000).
E = $1000 * P( winning $1000)
$200 = $1000 * P( winning $1000)
Solve for P( winning $1000)
0.2 = P( winning $1000)
1/5 = P( winning $1000)
P( winning $1000) = 1/5
The probability of winning is 15. Therefore, the ratio of the central angle and 360^(∘) must also equal 15. m∠ ACB/360^(∘)=1/5 Let's solve for m∠ ACB.
m∠ ACB/360^(∘)=1/5
m∠ ACB=1/5* 360^(∘)
m∠ ACB=360^(∘)/5
m∠ ACB=72^(∘)