Learning Outcomes
- Determine if sampling was done with or without replacement
Independent and mutually exclusive do not mean the same thing.
Independent Events
Two events are independent if the following are true:
- [latex]P[/latex]([latex]A[/latex]|[latex]B[/latex]) = [latex]P[/latex]([latex]A[/latex])
- [latex]P[/latex]([latex]B[/latex]|[latex]A[/latex]) = [latex]P[/latex]([latex]B[/latex])
- [latex]P[/latex]([latex]A[/latex] AND [latex]B[/latex]) = [latex]P[/latex]([latex]A[/latex])[latex]P[/latex]([latex]B[/latex])
Two events [latex]A[/latex] and [latex]B[/latex] are independent if the knowledge that one occurred does not affect the chance the other occurs. For example, the outcomes of two roles of a fair die are independent events. The outcome of the first roll does not change the probability for the outcome of the second roll. To show two events are independent, you must show only one of the above conditions. If two events are NOT independent, then we say that they are dependent.
Sampling may be done with replacement or without replacement.
- With replacement: If each member of a population is replaced after it is picked, then that member has the possibility of being chosen more than once. When sampling is done with replacement, then events are considered to be independent, meaning the result of the first pick will not change the probabilities for the second pick.
- Without replacement: When sampling is done without replacement, each member of a population may be chosen only once. In this case, the probabilities for the second pick are affected by the result of the first pick. The events are considered to be dependent or not independent.
If it is not known whether [latex]A[/latex] and [latex]B[/latex] are independent or dependent, assume they are dependent until you can show otherwise.
Example
You have a fair, well-shuffled deck of [latex]52[/latex] cards. It consists of four suits. The suits are clubs, diamonds, hearts, and spades. There are [latex]13[/latex] cards in each suit consisting of [latex]1, 2, 3, 4, 5, 6, 7, 8, 9, 10[/latex], [latex]J[/latex] (jack), [latex]Q[/latex] (queen), [latex]K[/latex] (king) of that suit.
- Sampling with replacement: Suppose you pick three cards with replacement. The first card you pick out of the [latex]52[/latex] cards is the [latex]Q[/latex] of spades. You put this card back, reshuffle the cards and pick a second card from the [latex]52[/latex]-card deck. It is the ten of clubs. You put this card back, reshuffle the cards and pick a third card from the [latex]52[/latex]-card deck. This time, the card is the [latex]Q[/latex] of spades again. Your picks are {[latex]Q[/latex] of spades, ten of clubs, [latex]Q[/latex] of spades}. You have picked the [latex]Q[/latex] of spades twice. You pick each card from the [latex]52[/latex]-card deck.
- Sampling without replacement: Suppose you pick three cards without replacement. The first card you pick out of the [latex]52[/latex] cards is the [latex]K[/latex] of hearts. You put this card aside and pick the second card from the [latex]51[/latex] cards remaining in the deck. It is the three of diamonds. You put this card aside and pick the third card from the remaining [latex]50[/latex] cards in the deck. The third card is the [latex]J[/latex] of spades. Your picks are {[latex]K[/latex] of hearts, three of diamonds, [latex]J[/latex] of spades}. Because you have picked the cards without replacement, you cannot pick the same card twice.
Try it
You have a fair, well-shuffled deck of [latex]52[/latex] cards. It consists of four suits. The suits are clubs, diamonds, hearts and spades. There are [latex]13[/latex] cards in each suit consisting of [latex]1, 2, 3, 4, 5, 6, 7, 8, 9, 10[/latex], [latex]J[/latex] (jack), [latex]Q[/latex] (queen), [latex]K[/latex] (king) of that suit. Three cards are picked at random.
- Suppose you know that the picked cards are [latex]Q[/latex] of spades, [latex]K[/latex] of hearts and [latex]Q[/latex] of spades. Can you decide if the sampling was with or without replacement?
- Suppose you know that the picked cards are [latex]Q[/latex] of spades, [latex]K[/latex] of hearts, and [latex]J[/latex] of spades. Can you decide if the sampling was with or without replacement?
Example
You have a fair, well-shuffled deck of 52 cards. It consists of four suits. The suits are clubs, diamonds, hearts, and spades. There are 13 cards in each suit consisting of [latex]1, 2, 3, 4, 5, 6, 7, 8, 9, 10[/latex], [latex]J[/latex] (jack), [latex]Q[/latex] (queen), [latex]K[/latex] (king) of that suit. [latex]S[/latex] = spades, [latex]H[/latex] = hearts, [latex]D[/latex] = diamonds, [latex]C[/latex] = clubs.
- Suppose you pick four cards, but do not put any cards back into the deck. Your cards are [latex]QS[/latex], [latex]1D[/latex], [latex]1C[/latex], [latex]QD[/latex].
- Suppose you pick four cards and put each card back before you pick the next card. Your cards are [latex]KH[/latex], [latex]7D[/latex], [latex]6D[/latex], [latex]KH[/latex].
Which of [latex]1[/latex] or [latex]2[/latex] did you sample with replacement and which did you sample without replacement?
This video provides a brief lesson on finding the probability of independent events.
try it
You have a fair, well-shuffled deck of 52 cards. It consists of four suits. The suits are clubs, diamonds, hearts, and spades. There are 13 cards in each suit consisting of [latex]1, 2, 3, 4, 5, 6, 7, 8, 9, 10[/latex], [latex]J[/latex] (jack), [latex]Q[/latex] (queen), [latex]K[/latex] (king) of that suit. [latex]S[/latex] = spades, [latex]H[/latex] = hearts, [latex]D[/latex] = diamonds, [latex]C[/latex] = clubs. Suppose that you sample four cards without replacement. Which of the following outcomes are possible? Answer the same question for sampling with replacement.
- [latex]QS[/latex], [latex]1D[/latex], [latex]1C[/latex], [latex]QD[/latex]
- [latex]KH[/latex], [latex]7D[/latex], [latex]6D[/latex], [latex]KH[/latex]
- [latex]QS[/latex], [latex]7D[/latex], [latex]6D[/latex], [latex]KS[/latex]
Candela Citations
- OpenStax, Statistics, Independent and Mutually Exclusive Events. Located at: https://openstax.org/books/statistics/pages/3-2-independent-and-mutually-exclusive-events. License: CC BY: Attribution. License Terms: Access for free at https://openstax.org/books/statistics/pages/1-introduction
- Introductory Statistics. Authored by: Barbara Illowsky, Susan Dean. Provided by: Open Stax. Located at: https://openstax.org/books/introductory-statistics/pages/1-introduction. License: CC BY: Attribution. License Terms: Access for free at https://openstax.org/books/introductory-statistics/pages/1-introduction
- Unit 2: Fractions and Mixed Numbers, from Developmental Math: An Open Program. Provided by: Monterey Institute of Technology. Located at: http://nrocnetwork.org/dm-opentext. License: CC BY: Attribution
- Prealgebra. Provided by: Open Stax. Located at: https://openstax.org/books/prealgebra/pages/1-introduction. License: CC BY: Attribution. License Terms: Access for free at https://openstax.org/books/prealgebra/pages/1-introduction
- Probability of Independent Events. Authored by: Mathispower4u. Located at: https://youtu.be/QsnfXUqsFPU. License: All Rights Reserved. License Terms: Standard YouTube LIcense