MTH 245 Notes Theoretical Probability Assignment
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Write My Essay For MeMTH 245 Lesson 10 Notes Theoretical Probability
The theoretical probability approach is used when ππ consists of a reasonably small number of countable outcomes, each of which is equally likely to occur.
There are three steps to calculating a theoretical probability:
1. Define the experiment, the sample space ππ, and the event space π΄π΄. 2. For both π΄π΄ and ππ, count the number of outcomes in each. 3. Calculate the probability:
ππ(π΄π΄) = number of outcomes in π΄π΄ number of outcomes in ππ
Warning! This approach assumes that each outcome in ππ is equally likely. If that isn’t the case, then the above formula does not produce the correct results. Example 1: To continue Example 1 in Lesson 9, suppose we roll a single six- sided die once. What is the probability of rolling greater than a 4?
We have already defined the sample space as ππ = {1, 2, 3, 4, 5, 6} and the event space as π΄π΄ = {5, 6}. It follows that
ππ(π΄π΄) = ππππππππππππ ππππ ππππππππππππππππ ππππ π΄π΄ ππππππππππππ ππππ ππππππππππππππππ ππππ ππ
= 2 6
= 1 3
= 0.333 .
Example 2: Consider an experiment where a fair coin is flipped three times in a row and the result of each set of flips is recorded as a single sequence. What is the probability that the next sequence of flips will contain two or more “tails?”
There are eight possible sequences of flips: ππ = {π»π»π»π»π»π», πππ»π»π»π», π»π»πππ»π», π»π»π»π»ππ, πππππ»π», πππ»π»ππ, π»π»ππππ, ππππππ}. Of these, four contain two or more “tails”: π΄π΄ = {πππππ»π», πππ»π»ππ, π»π»ππππ, ππππππ}. Therefore, ππ(π΄π΄) = 4
8 = 1
2 = 0.500.
The Addition Rule
A compound event is an event that combines two or more simple events.
The compound event π΄π΄ βͺ π΅π΅ (read “A union B” or “A or B”) is the outcome where, in a single trial, either π΄π΄ occurs or π΅π΅ occurs or they both occur. If A and B can both occur, then their intersection π΄π΄ β© π΅π΅ (read “A intersect B” or “A and B”) is not empty and contains outcomes that are in both A and B.
To calculate the probability of π΄π΄ βͺ π΅π΅ occurring, count the number of ways π΄π΄ can occur and the number of ways π΅π΅ can occur, and add those totals together in such a way that no individual outcome is counted twice. Then divide that sum by the total number of possible outcomes. Formally, this process is represented by the Addition Rule:
For any two events A and B,
ππ(π΄π΄ βͺ π΅π΅) = ππ(π΄π΄) + ππ(π΅π΅)β ππ(π΄π΄ β© π΅π΅)
Subtracting the term P(π΄π΄ β© π΅π΅) ensures we don’t double count the outcomes that appear in both A and B when calculating P(π΄π΄ βͺ π΅π΅). Example 4: Continuing Example 1 of this section, what is the probability rolling greater than a 4 or an even number?
We already know that ππ = {1, 2, 3, 4, 5, 6} and π΄π΄ = {5, 6}. In addition, define π΅π΅ = {ππππππππ ππππππππππππππ} = {2, 4, 6}. Then π΄π΄ β© π΅π΅ = {6} and
ππ(π΄π΄ βͺ π΅π΅) = ππ(π΄π΄) + ππ(π΅π΅) β ππ(π΄π΄ β© π΅π΅) = 2 6
+ 3 6 β 1
6 = 4
6 = 2
3 = 0.333 .
Example 4: A sample of 200 tennis rackets β 100 graphite and 100 wood β is taken from the warehouse. Suppose 6 of the wood rackets and 9 of the graphite rackets are defective. If one racket is randomly selected from the sample of 200, find the probability that the racket is either wood or defective.
Define π΄π΄ = {100 π€π€π€π€π€π€π€π€ ππππππππππππππ}, π΅π΅ = {15 π€π€ππππππππππππππππ ππππππππππππππ}, and π΄π΄ β© π΅π΅ = {6 ππππππππππππππ ππβππππ ππππππ πππ€π€ππβ π€π€π€π€π€π€π€π€ πππππ€π€ π€π€ππππππππππππππππ}. Then
ππ(π΄π΄ βͺ π΅π΅) = ππ(π΄π΄) + ππ(π΅π΅)β ππ(π΄π΄ β© π΅π΅) = 100 200
+ 15 200
β 6 200
= 109 200
= 0.545. Example 5: Refer to the table below. If 1 subject is selected at random from among 1,000 subjects given a drug test, what is the probability that the subject had a positive drug test, actually uses drugs, or both?
Positive
Test Result Negative
Test Result Total
Subject uses drugs 44 6 50 Subject doesn’t use drugs
90 860 950
Total 134 866 1,000
Define π΄π΄ = {134 π€π€βπ€π€ πππππππππππ€π€ πππ€π€ππππππππππππ}, π΅π΅ = {50 π€π€βπ€π€ ππππππ π€π€ππππππππ}, and π΄π΄ β© π΅π΅ = {44 π€π€βπ€π€ πππππππππππ€π€ πππ€π€ππππππππππππ πππππ€π€ ππππππ π€π€ππππππππ}. Then
ππ(π΄π΄ βͺ π΅π΅) = ππ(π΄π΄) + ππ(π΅π΅)β ππ(π΄π΄ β© π΅π΅) = 134 1,000
+ 50 1,000
β 44 1,000
= 140 1,000
= 0.140
Disjoint Events
The events π΄π΄ and π΅π΅ are said to be disjoint (or mutually exclusive) if they have no outcomes in common and therefore cannot occur simultaneously. In other words, π΄π΄ β© π΅π΅ = β . If A and B are disjoint, then ππ(π΄π΄ β© π΅π΅) = 0, and
ππ(π΄π΄ βͺ π΅π΅) = ππ(π΄π΄) + ππ(π΅π΅) Example 6: Suppose we draw a single card from a standard 52-card poker deck. What is the probability that the card is either a face card or a “5”? (Refer to the “Resources” page in the “Start Here” module for a link with more information on card decks.)
Define π΄π΄ = {12 ππππππππ πππππππ€π€ππ}, π΅π΅ = {4 “ππππππππ” πππππππ€π€ππ }. A card can’t be both A face card and a “five,” so π΄π΄ β© π΅π΅ = β . Then
ππ(π΄π΄ βͺ π΅π΅) = ππ(π΄π΄) + ππ(π΅π΅) = 12 52
+ 4 52
= 16 52
= 4 13
= 0.308
Example 7: In a certain lottery, winning numbers are determined by selecting from a set of 10 plastic balls numbered 0 through 9. If a single ball is selected at random, what is the probability of selecting either an even- numbered ball or the ball marked “3”? (Note: assume 0 is even.)
Define π΄π΄ = {0, 2, 4, 6, 8}, π΅π΅ = {3}. A ball can’t display a number that is both even and a 3, so π΄π΄ β© π΅π΅ = β . Then
ππ(π΄π΄ βͺ π΅π΅) = ππ(π΄π΄) + ππ(π΅π΅) = 5 10
+ 1 10
= 6 10
= 3 5
= 0.600
Complementary Events
The complement of event A is the subset of all outcomes in ππ that are not in π΄π΄. There is no standard notation for the complement of a subset; we will use π΄π΄πΆπΆ to stay consistent with the (optional) textbook.
For any properly constructed experiment, an individual outcome cannot be in both π΄π΄ and π΄π΄πΆπΆ. In other words, π΄π΄ and π΄π΄πΆπΆ are disjoint, and since they contain all the outcomes in ππ between them, it follows that π΄π΄ βͺ π΄π΄πΆπΆ = ππ, and further that
ππ(π΄π΄) + ππ(π΄π΄πΆπΆ) = 1
This equation can also be written in one of the following two equivalent forms:
ππ(π΄π΄) = 1 β ππ(π΄π΄πΆπΆ)
ππ(π΄π΄πΆπΆ) = 1 β ππ(π΄π΄) Example 8: Suppose we draw a single card from a standard 52-card poker deck (assume a “2” is the lowest card and an ace is the highest). What is the probability of drawing a “5” or higher?
If we define π΄π΄ = {“ππππππππ” π€π€ππ βππππβππππ}, then π΄π΄πΆπΆ = {2, 3, 4 π€π€ππ ππππππβ ππππππππ} (note that π΄π΄πΆπΆ has 12 total elementsβthree cards Γ four suits). Then
ππ(π΄π΄) = 1 β ππ(π΄π΄πΆπΆ) = 1 β 12 52
= 40 52
= 10 13
= 0.769.
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