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You draw two cards from a standard deck of 52 cards, but before you draw the second card, you put the first one back and reshuffle the deck. (a) Are the outcomes on the two cards independent? Why? (b) Find \(P(3\) on 1 st card and 10 on 2 nd ). (c) Find \(P(10\) on 1 st card and 3 on 2 nd ). (d) Find the probability of drawing a 10 and a 3 in either order.

Short Answer

Expert verified
(a) Yes, they are independent. (b) \(\frac{1}{169}\). (c) \(\frac{1}{169}\). (d) \(\frac{2}{169}\).

Step by step solution

01

Understanding Independence

Two events are independent if the occurrence of one does not affect the probability of the occurrence of the other. In this exercise, since the first card is replaced and the deck is reshuffled before drawing the second card, the probability of drawing the second card is not influenced by what was drawn first. This makes the outcomes on the two cards independent.
02

Calculating P(3 on 1st card and 10 on 2nd)

Since each draw is independent, we multiply the probability of each event. The probability of drawing a 3 on the first card is \(\frac{4}{52}\) (since there are 4 threes in the deck). The probability of drawing a 10 on the second card is also \(\frac{4}{52}\) (since the deck is reshuffled). Thus, \[ P(3 \text{ on 1st and 10 on 2nd}) = \left(\frac{4}{52}\right) \times \left(\frac{4}{52}\right) = \frac{16}{2704} = \frac{1}{169} \]
03

Calculating P(10 on 1st card and 3 on 2nd)

Similar to step 2, the probability of drawing a 10 first is \(\frac{4}{52}\) and the probability of drawing a 3 second is also \(\frac{4}{52}\).\[ P(10 \text{ on 1st and 3 on 2nd}) = \left(\frac{4}{52}\right) \times \left(\frac{4}{52}\right) = \frac{16}{2704} = \frac{1}{169} \]
04

Finding the probability of drawing a 10 and a 3 in either order

To find the probability of drawing a 10 and a 3 in either order, we add the probabilities from steps 2 and 3 since these are mutually exclusive events. \[ P(\text{10 and 3 in either order}) = \frac{1}{169} + \frac{1}{169} = \frac{2}{169} \]

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Key Concepts

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

Independent Events
In the world of probability, independent events play an important role. The concept of independence indicates that the outcome of one event does not influence the outcome of another. For instance, when drawing two cards from a standard deck, if you place the first card back and reshuffle the deck before picking the second card, then both draw events are independent.
This is because reshuffling resets the deck to its original state, ensuring that the probability of drawing any specific card the second time doesn’t rely on the result of the first draw.
  • Two events, A and B, are independent if:
\[ P(A \cap B) = P(A) \times P(B) \]Understanding this concept can help you clearly determine probabilities in sequences and make different probability questions easier to tackle.
Mutually Exclusive Events
In probability, mutually exclusive events are events that cannot occur at the same time. Imagine, for instance, drawing a card from a deck and wanting it to show both a '5' and a 'Queen'; it's impossible since a card can only display one value at a time.
For the exercise provided, consider the sequences of drawing a '3' first and a '10' second compared to drawing a '10' first and a '3' second. These two events are mutually exclusive because drawing a sequence one way means you cannot simultaneously draw the other way.
  • If events A and B are mutually exclusive, the probability of both happening is zero:
\[ P(A \cap B) = 0 \] When calculating the probability of one event or the other, you simply add their individual probabilities together. Comprehending mutually exclusive events helps predict outcomes more accurately and determine the likelihood of various scenarios efficiently.
Standard Deck of Cards
A standard deck of cards is an essential tool in probability exercises. Composed of 52 cards, each deck contains four suits: hearts, diamonds, clubs, and spades. Each suit comprises 13 ranks ranging from Ace to King.
Playing cards are commonly used to explain basic probability concepts because of their familiar structure and straightforward composition. Understanding the deck’s organization is crucial because it helps you accurately calculate the probability of drawing specific cards.
  • Each suit includes exactly 4 cards of each rank.
  • Specific ranks like numbers '3' or '10' have 4 possible occurrences across the deck.
Being familiar with a standard deck allows students to effectively understand and solve problems relating to both independent and mutually exclusive events, showcasing real-world applications of probability rules.

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Most popular questions from this chapter

One professor grades homework by randomly choosing 5 out of 12 homework problems to grade. (a) How many different groups of 5 problems can be chosen from the 12 problems? (b) Probability extension: Jerry did only 5 problems of one assignment. What is the probability that the problems he did comprised the group that was selected to be graded? (c) Silvia did 7 problems. How many different groups of 5 did she complete? What is the probability that one of the groups of 5 she completed comprised the group selected to be graded?

Suppose the newspaper states that the probability of rain today is \(30 \%\). What is the complement of the event "rain today"? What is the probability of the complement?

Suppose two events \(A\) and \(B\) are independent, with \(P(A) \neq 0\) and \(P(B) \neq 0\). By working through the following steps, you'll see why two independent events are not mutually exclusive. (a) What formula is used to compute \(P(A\) and \(B)\) ? Is \(P(A\) and \(B) \neq 0\) ? Explain. (b) Using the information from part (a), can you conclude that events \(A\) and \(B\) are not mutually exclusive?

Consider the following events for a driver selected at random from the general population: \(A=\) driver is under 25 years old \(B=\) driver has received a speeding ticket Translate each of the following phrases into symbols. (a) The probability the driver has received a speeding ticket and is under 25 years old (b) The probability a driver who is under 25 years old has received a speeding ticket (c) The probability a driver who has received a speeding ticket is 25 years old or older (d) The probability the driver is under 25 years old or has received a speeding ticket (e) The probability the driver has not received a speeding ticket or is under 25 years old

(a) If you roll a single die and count the number of dots on top, what is the sample space of all possible outcomes? Are the outcomes equally likely? (b) Assign probabilities to the outcomes of the sample space of part (a). Do the probabilities add up to 1 ? Should they add up to \(1 ?\) Explain. (c) What is the probability of getting a number less than 5 on a single throw? (d) What is the probability of getting 5 or 6 on a single throw?

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