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A deck of playing cards contains 52 cards, four of which are aces. What is the probability that the deal of a five-card hand provides: a. A pair of aces? b. Exactly one ace? c. No aces? d. At least one ace?

Short Answer

Expert verified
Pair: 4.8%, One: 29.8%, None: 66.5%, At least one: 33.5%

Step by step solution

01

Understanding the Problem

Firstly, we need to understand that from a standard deck of 52 cards, we want to know the probability of specific combinations of aces in a five-card hand. There are 4 aces out of 52 cards in the deck.
02

Calculating Total Possible Hands

The total number of ways to choose a five-card hand from 52 cards is given by the combination formula \( \binom{52}{5} \). Calculate this to find the denominator for all probabilities related to these events.
03

Calculating Probability for a Pair of Aces

To find the probability of a pair of aces, we need to select 2 aces from 4 (\( \binom{4}{2} \)) and 3 non-aces from the remaining 48 cards (\( \binom{48}{3} \)). Multiply these results and divide by the total number of five-card hands, \( \binom{52}{5} \).
04

Calculating Probability for Exactly One Ace

For exactly one ace, choose 1 ace from 4 (\( \binom{4}{1} \)) and the other 4 cards from the 48 non-aces (\( \binom{48}{4} \)). Multiply and then divide by the total number of hands to find the probability.
05

Calculating Probability for No Aces

For no aces, all 5 cards must be chosen from the 48 non-aces (\( \binom{48}{5} \)). Calculate this and divide by the total number of hands to get the probability.
06

Calculating Probability for At Least One Ace

To find the probability of at least one ace, note that it is the complement of the event with no aces. So, subtract the probability of no aces from 1.
07

Probability Calculations

Finally, we calculate: - Total hands: \( \binom{52}{5} = 2,598,960 \).- Pair of aces: Probability \( = \frac{\binom{4}{2} \times \binom{48}{3}}{\binom{52}{5}} \).- Exactly one ace: Probability \( = \frac{\binom{4}{1} \times \binom{48}{4}}{\binom{52}{5}} \).- No aces: Probability \( = \frac{\binom{48}{5}}{\binom{52}{5}} \).- At least one ace: Probability \( = 1 - \frac{\binom{48}{5}}{\binom{52}{5}} \).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Combination Formula
To understand card probability problems, it's crucial to master the combination formula. This formula helps us determine how many ways we can choose items from a larger set without regard to the order of selection. Mathematically, it's expressed as:
  • \( \binom{n}{r} = \frac{n!}{r!(n-r)!} \)

Where:
  • \( n \) is the total number of items to choose from (in our case, 52 cards).
  • \( r \) is the number of items to select (like the 5 cards in our hand).
  • \( ! \) denotes a factorial, meaning the product of all positive integers up to that number.

This formula enables us to calculate the total number of five-card hands when drawn from a 52-card deck using \( \binom{52}{5} \). It provides a basis for computing the probability of certain card combinations by serving as the denominator in our probability calculations.
Card Combinations
Card combinations examine the specific arrangement of cards in your hand. We look at different scenarios like having pairs, single cards, or categories like aces. To compute probabilities:
  • Pair of aces: Select 2 aces from 4, expressed as \( \binom{4}{2} \).
  • Non-aces: Draw the rest of the hand with non-aces using \( \binom{48}{3} \) or \( \binom{48}{4} \) depending on the hand.

For example, to find the odds of having exactly one ace, you pick 1 ace from the 4 available and complete the hand with 4 more cards from the remaining 48 non-aces, calculated as \( \binom{4}{1} \times \binom{48}{4} \).
Understanding these combinations allows us to establish probabilities by relating them to the total possible hands.
Complement Rule For Probability
The complement rule is a powerful concept in probability that simplifies certain calculations. Instead of directly finding the probability of having at least one ace in your hand, it's often easier to use its complement, which is having no aces at all.
This approach is beneficial as follows:
  • Calculate the probability of drawing no aces using \( \binom{48}{5} \).
  • Subtract this probability from 1 to find the complement: the probability of having at least one ace.

Mathematically, it is expressed as:
  • \( P( ext{at least one ace}) = 1 - P( ext{no aces}) \)

This method can make your work smoother and is particularly handy when dealing with more complex scenarios. It prevents redundant calculations by focusing on a simpler alternative.

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Most popular questions from this chapter

The following table is a partial probability distribution for the MRA Company's projected profits \((x=\text { profit in } \$ 1000\) s ) for the first year of operation (the negative value denotes a loss). $$\begin{array}{rr} x & f(x) \\ -100 & .10 \\ 0 & .20 \\ 50 & .30 \\ 100 & .25 \\ 150 & .10 \\ 200 & \end{array}$$ a. What is the proper value for \(f(200) ?\) What is your interpretation of this value? b. What is the probability that MRA will be profitable? c. What is the probability that MRA will make at least \(\$ 100,000 ?\)

The budgeting process for a midwestern college resulted in expense forecasts for the coming year (in \(\$$ millions) of \)\$ 9, \$ 10, \$ 11, \$ 12,\( and \)\$ 13 .\( Because the actual expenses are unknown, the following respective probabilities are assigned: \).3, .2, .25, .05,\( and \).2 .\( a. Show the probability distribution for the expense forecast. b. What is the expected value of the expense forecast for the coming year? c. What is the variance of the expense forecast for the coming year? d. If income projections for the year are estimated at \)\$ 12$ million, comment on the financial position of the college.

To perform a certain type of blood analysis, lab technicians must perform two procedures. The first procedure requires either one or two separate steps, and the second procedure requires either one, two, or three steps. a. List the experimental outcomes associated with performing the blood analysis. b. If the random variable of interest is the total number of steps required to do the complete analysis (both procedures), show what value the random variable will assume for each of the experimental outcomes.

Customer arrivals at a bank are random and independent; the probability of an arrival in any one-minute period is the same as the probability of an arrival in any other one-minute period. Answer the following questions, assuming a mean arrival rate of three customers per minute. a. What is the probability of exactly three arrivals in a one-minute period? b. What is the probability of at least three arrivals in a one-minute period?

Many companies use a quality control technique called acceptance sampling to monitor incoming shipments of parts, raw materials, and so on. In the electronics industry, component parts are commonly shipped from suppliers in large lots. Inspection of a sample of \(n\) components can be viewed as the \(n\) trials of a binomial experiment. The outcome for each component tested (trial) will be that the component is classified as good or defective. Reynolds Electronics accepts a lot from a particular supplier if the defective components in the lot do not exceed \(1 \% .\) Suppose a random sample of five items from a recent shipment is tested. a. Assume that \(1 \%\) of the shipment is defective. Compute the probability that no items in the sample are defective. b. Assume that \(1 \%\) of the shipment is defective. Compute the probability that exactly one item in the sample is defective. c. What is the probability of observing one or more defective items in the sample if \(1 \%\) of the shipment is defective? d. Would you feel comfortable accepting the shipment if one item was found to be defective? Why or why not?

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