Chapter 2 Probability - MAT 226 Fa 24 PDF

Summary

This document is a chapter on the introduction to probability from a mathematics course. It presents key terms, concepts, and examples related to probability theory, sample spaces, and data types. This chapter will be suitable for mathematics and statistics undergraduate students.

Full Transcript

Dr. Re-Mi Hage MAT 226 Fa 24 Chapter 2 Introduction to probability Recall: A standard deck of 52 playing cards can be described as follows: Hearts (red) Ace 2 3 4 5 6 7 8 9 10 Jack Queen King Clubs (black) Ace 2 3 4 5 6...

Dr. Re-Mi Hage MAT 226 Fa 24 Chapter 2 Introduction to probability Recall: A standard deck of 52 playing cards can be described as follows: Hearts (red) Ace 2 3 4 5 6 7 8 9 10 Jack Queen King Clubs (black) Ace 2 3 4 5 6 7 8 9 10 Jack Queen King Diamonds (red) Ace 2 3 4 5 6 7 8 9 10 Jack Queen King Spades (black) Ace 2 3 4 5 6 7 8 9 10 Jack Queen King Cards labeled Ace, Jack, Queen, or King are called face cards. 2.1 Introduction to probability The key terms related to probability are: Sample Space (S): The set of all possible outcomes of a statistical experiment. Observations: Recorded data from an experiment, which can be numerical or categorical. Statistical Experiment: A process that generates data, where outcomes are subject to chance. Outcomes: The results of an experiment, which can vary due to uncertainty. Data Types: o Numerical Data: Quantitative measurements or counts. o Categorical Data: Classification based on criteria (e.g., defective/non-defective). Types of Studies: o Designed Experiments: Controlled tests to observe specific outcomes. o Observational Studies: Data collected without manipulation of variables. o Retrospective Studies: Analysis of existing historical data. Tree Diagram: A systematic way to list the elements of a sample space for clarity. Venn diagram can be used to present the sample space and events. Elements of Sample Space: Individual outcomes within the sample space, known as sample points. Event: collection of sample point or it’s a subset of a sample space. 1|Page Dr. Re-Mi Hage MAT 226 Fa 24 Example: Experiment Outcome Sample space Event Tossing a coin H or T S={H,T} Observing a head thus T: tail, H: head the event is A={H} Tossing a die 1 or 2 or 3 or 4 or 5 or If we are interested in Observing a number 6 the number that shows greater than 3 thus on the top face, the A={4,5,6} sample space is S={1,2,3,4,5,6} If we are interested only in whether the number is even or odd, the sample space is simply S2 = {even, odd} Example: Create a tree diagram that lists all the sequences of heads and tails obtained by tossing a coin three times. Example: S={1,2,3,4,5,6,7,8,9,10} A={1,2,3,4,5,6} B={5,6,7,8} C={8,9} 2|Page Dr. Re-Mi Hage MAT 226 Fa 24 2.2 Set Theory Let S be the universal set and A, B be two subsets of S. 1. Complements The complement of an event A with respect to S is the subset of all elements of S that are not in A. We denote the complement of A by 𝐴̅ = 𝐴𝑐 = 𝐴′ The absolute complement of A is the set: 𝐴̅ = 𝐴𝑐 = {𝑥 ∈ 𝑆|𝑥 ∉ 𝐴} Example : Let R be the event that a red card is selected from an ordinary deck of 52 playing cards, and let S be the entire deck. Then R’ is the event that the card selected from the deck is not a red card but a black card Consider the sample space S = {book, cell phone, mp3, paper, stationery, laptop}. Let A = {book, stationery, laptop, paper}. Then the complement of A is A’= {cell phone, mp3} The relative complement of A with respect to B is the set: 𝐵 − 𝐴 = {𝑥 ∈ 𝑆|𝑥 ∈ 𝐵 𝑎𝑛𝑑 𝑥 ∉ 𝐴} 3|Page Dr. Re-Mi Hage MAT 226 Fa 24 2. Union: The union of the two events A and B, denoted by the symbol A∪B, is the event containing all the elements that belong to A or B or both The union of A and B is the set 𝐴 ∪ 𝐵 = {𝑥|𝑥 ∈ 𝐴 𝑜𝑟 𝑥 ∈ 𝐵} Example: Let A = {a, b, c} and B = {b, c, d, e}; then A ∪ B = {a, b, c, d, e} If M = {x | 3

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