PPT-Probability Algebra 2 Chapter 8

This Slideshow was developed to accompany the textbook Big Ideas Algebra 2 By Larson R Boswell 2022 K12 National GeographicCengage Some examples and diagrams are taken from the textbook Slides created by . BY: Audrey. Alexis . Lexi. . &. Mathew. Scenario #1. The marketing director of a Hollister interviewed 50 customers who had bought clothes the previous week. They found that 20% of the customers bought jeans and 40% of the customers bought tops. Also, 48% of the customers bought an item other than jeans or a top.. Probability Terminology. Classical Interpretation. : Notion of probability based on equal likelihood of individual possibilities (coin toss has 1/2 chance of Heads, card draw has 4/52 chance of an Ace). Origins in games of chance.. 3.1 . The Concept of Probability. 3.2 . Sample Spaces and Events. 3.3 . Some Elementary Probability Rules. 3.4 . Conditional Probability and Independence. 3.5 . Bayes’ Theorem. 3-. 2. Probability Concepts. Raphy. . Coifman. Depts. of Mathematics & of Computer Science, Yale University. Eric . Kolaczyk. Dept. . of Mathematics & Statistics, Boston University . View @ 10K . ft. Common to group key players of data science into. Operations on Functions and Analyzing Graphs. College Algebra Chapter 3.1 The algebra and composition of functions. Sums and Differences of Functions. For functions f and g with domains of P and Q respectively, the sum and difference of f and g are defined by:. Section 5.1. Randomness, Probability, and Simulation. HAPPY HALLOWEEN!!!!!!. Example 1: . When you toss a coin, there are only two possible outcomes, heads or tails. The figure below on the left shows the results of tossing a coin 20 times. For each number of tosses from 1 to 20, we have plotted the proportion of those tosses that gave a head. You can see that the proportion of heads starts at 1 on the first toss, falls to 0.5 when the second toss gives a tail, then rises to 0.67, and then falls to 0.5, and 0.4 as we get two more tails. After that, the proportion of heads continues to fluctuate but never exceeds 0.5 again.. Sixth Edition. Douglas C. Montgomery George C. . Runger. Chapter 2 Title and Outline. 2. 2. Probability. 2-1 Sample Spaces and Events . 2-1.1 Random Experiments. 2-1.2 Sample Spaces . Sixth Edition. Douglas C. Montgomery George C. . Runger. Chapter 2 Title and Outline. 2. 2. Probability. 2-1 Sample Spaces and Events . 2-1.1 Random Experiments. 2-1.2 Sample Spaces . Section 5-3 – Normal Distributions: Finding Values. A. We have learned how to calculate the probability given an . x. -value or a . z. -score. . In this lesson, we will explore how to find an . More Practical Problems. Jiaping. Wang. Department of Mathematics. 04/24/2013, Wednesday. Problem 1. Suppose we know in a crab farm, 20% of crabs are male. If one day the owner catches . 400 crabs. , what is the chance that more than 25% of the 400 crabs are male?. Continuous Probability Distribution . (pdf) . Definition:. . b. P(a . . X.  . b) = .  . f(x). dx. . . a. For continuous RV X & a. .  b.. A value between zero and one that describe the relative possibility(change or likelihood) an event occurs.. The MEF announces that in 2012 the change Cambodia economic growth rate is equal to 7% is 80%.. . 3.1 - Random Variables. 3.2 - Probability Distributions for Discrete. Random Variables . 3.3 - Expected Values. 3.4 - . The Binomial Probability Distribution. 3.5 - Hypergeometric and Negative. Chuan. -Hsiang Han. Oct. 28, 2009. A three period coin-toss example. Let . (. a coin toss outcome).. The outcome of a coin tossed three times . is denoted . by . Let . . is a. . -. algebra. . is .