Math Problem Statement

For many​ years, organized crime ran a numbers game that is now run legally by many state governments. The player selects a​ three-digit number from 000 to 999. There are 1000 such numbers. A bet of $ 5

is placed on a​ number, say number 115. If the number is​ selected, the player wins ​$2300 . If any other number is​ selected, the player wins nothing. Find the expected value for this game and describe what this means. Question content area bottom Part 1 The expected value of the numbers game is ​$negative 2.70 . ​(Round to the nearest​ cent.) Part 2 Choose the statement below that best describes what this value​ means, and if​ necessary, fill in the answer box to complete your choice. ​(Round to the nearest​ cent.) A. In the long​ run, the player can expect to lose ​$enter your response here

for each game played. B. In the long​ run, the player can expect to win ​$enter your response here

for each game played. C. In the long​ run, the player can expect to break even.

Solution

Part 1: Finding the Expected Value

To find the expected value of the game, we need to consider both the probability of winning and the probability of losing.

Winning Scenario:

  • The probability of winning is 11000\frac{1}{1000} because there are 1000 possible numbers, and the player wins only if their chosen number is selected.
  • The payout for winning is $2300.

Losing Scenario:

  • The probability of losing is 9991000\frac{999}{1000} because there are 999 other possible numbers.
  • The player loses their $5 bet in this case.

Expected Value Formula:

Expected Value (EV)=(Probability of Winning×Payout for Winning)+(Probability of Losing×Loss for Losing)\text{Expected Value (EV)} = ( \text{Probability of Winning} \times \text{Payout for Winning} ) + ( \text{Probability of Losing} \times \text{Loss for Losing} )

EV=(11000×2300)+(9991000×(5))EV = \left( \frac{1}{1000} \times 2300 \right) + \left( \frac{999}{1000} \times (-5) \right)

Calculating each part:

  1. The expected winnings for winning: 11000×2300=2.30\frac{1}{1000} \times 2300 = 2.30

  2. The expected loss for losing: 9991000×(5)=4.995\frac{999}{1000} \times (-5) = -4.995

Now, summing these values:

EV=2.30+(4.995)=2.695EV = 2.30 + (-4.995) = -2.695

Rounding to the nearest cent:

EV=2.70EV = -2.70

Part 2: Interpretation of the Expected Value

The expected value of 2.70-2.70 means that, on average, the player loses $2.70 for each game played in the long run. Therefore, the correct interpretation is:

A. In the long​ run, the player can expect to lose $2.70 for each game played.


Summary

  1. The expected value for this game is $-2.70.
  2. The best interpretation is A. In the long​ run, the player can expect to lose $2.70 for each game played.

Would you like more details on how this formula is derived or how probabilities work in similar games?

Related Questions:

  1. How can you calculate the expected value for a different type of gambling game?
  2. What are the key factors that influence the expected value in a game of chance?
  3. How does increasing the payout affect the expected value?
  4. What is the significance of a negative expected value in gambling games?
  5. Can you calculate the expected value for a similar game with more players or different probabilities?

Tip: When dealing with expected value, remember that it is a long-term average, so it might not represent the outcome of one single game but rather many games over time.

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Math Problem Analysis

Mathematical Concepts

Probability
Expected Value
Basic Statistics

Formulas

Expected Value (EV) = (Probability of Winning × Payout for Winning) + (Probability of Losing × Loss for Losing)

Theorems

Law of Total Probability

Suitable Grade Level

Grades 9-12