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Ne4ueva [31]
3 years ago
15

Let's compare two different raffles to see which ticket you should buy? A. Raffle 1: 800 raffle tickets are sold $2.00 each. The

re is one gran prize for $450 and two consolation prizes of $100 each that will be awarded. What is the expected value of one ticket? B. Raffle 2: 350 raffle tickets are sold for $2.00 each. There is one grand prize of $150 and three consolation prizes of $50 each. What is the expected value of one ticket?
Mathematics
1 answer:
ExtremeBDS [4]3 years ago
7 0

Answer:

(a) The expected value is: $0.40625

(b) The expected value is: $0.4286

Step-by-step explanation:

Solving (a): Raffle 1

Given

Tickets=800

Value = \$2 per ticket

Grand\ Prize = \$450 ---- for 1

Consolation = \$100 --- for 2

Required

The expected value of each ticket

First, calculate the total amount of the 800 tickets

Amount = Tickets * Value

A_1 = 800 * \$2

A_1 = \$1600

Next, calculate the total amount of the prizes

Amount = Tickets * Value

A_2 = \$450 * 1 +\$100 * 2

A_2 = \$450 +\$200

A_2 = \$650

The expected value E(x) of 1 ticket is calculated as:

E(x) = \frac{A_2}{A_1}

E(x) = \frac{\$650}{\$1600}

E(x) = \$0.40625

Solving (b): Raffle 2

Given

Tickets=350

Value = \$2 per ticket

Grand\ Prize = \$150 ---- for 1

Consolation = \$50 --- for 3

Required

The expected value of each ticket

First, calculate the total amount of the 800 tickets

Amount = Tickets * Value

A_1 = 350 * \$2

A_1 = \$700

Next, calculate the total amount of the prizes

Amount = Tickets * Value

A_2 = \$150 * 1 +\$50 * 3

A_2 = \$150 +\$150

A_2 = \$300

The expected value E(x) of 1 ticket is calculated as:

E(x) = \frac{A_2}{A_1}

E(x) = \frac{\$300}{\$700}

E(x) = \$0.4286

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notka56 [123]

Answer:

3.75, or \frac{15}{4} inches of rain during the 15 days of April.

Step-by-step explanation:

All you have to do is add \frac{1}{4} 15 times to get that number.

\frac{1}{4} +\frac{1}{4} +\frac{1}{4} +\frac{1}{4} +\frac{1}{4} +\frac{1}{4} +\frac{1}{4} +\frac{1}{4} +\frac{1}{4} +\frac{1}{4} +\frac{1}{4} +\frac{1}{4} +\frac{1}{4} +\frac{1}{4} = 3.75

You can also do 15 times \frac{1}{4}, which will result in the same thing.

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3 years ago
Kerry invited 23 friends to his pool party. They played a game where everyone had to separate into groups. Each group had the sa
Alex17521 [72]

Answer:

A, C, and E are the answers

Step-by-step explanation:

6 0
2 years ago
For the polyhedron, use Euler's Formula to find the missing number.
disa [49]

If the number of the edges of the polyhedron is 14 and the vertices are 9. Then the number of the faces of the polyhedron is 7.

<h3>What is a polyhedron?</h3>

A polyhedron is a solid made composed of polygons in three dimensions. It has vertices, flat faces, and straight edges.

We know the Euler's formula

F + V - E = 2,

where, F = number of faces, V = number of vertices, and E = number of edges

Edges: 14

Vertices: 9

F + 9 - 14 = 2

            F = 14 + 2 - 9

            F = 16 - 9

            F = 7

Then the number of the faces of the polyhedron is 7.

More about the polyhedron link is given below.

brainly.com/question/2321456

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3 0
2 years ago
Mark scored 17 points for the home team in a basketball game. His teammates as a group scored p points. As a team they scored 46
ki77a [65]

Answer:

Equation:

17 + p = 46

His teammates scored 29 points

Step-by-step explanation:

We know that Mark scored 17 points and that the entire team scored 46.

Mark's 17 points added to the team's p points will give us a total of 46 points

p = points of his teammates

17 + p = 46

if we want to know how many points his teammates scored we simply have to clear p and solve

17 + p = 46

p = 46 - 17

p = 29

his teammates scored 29 points

3 0
4 years ago
Read 2 more answers
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is less than 1
solmaris [256]

Answer:

0.8749

Step-by-step explanation:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 0, \sigma = 1

The probability that Z is less than 1.15 is:

This is the pvalue of Z = 1.15, which is 0.8749.

8 0
3 years ago
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