April 30, 2010Math 132: Foundations of Mathematics Amy Lewis Math Specialist IU1 Center for STEM Education.

Slides:



Advertisements
Similar presentations
Chapter 3 Probability.
Advertisements

Basic Concepts of Probability
Larson/Farber 4th ed 1 Basic Concepts of Probability.
Disjointed and Overlapping Event Disjointed events (mutually exclusive) - are events that have no outcome in common Overlapping events- events that have.
Section 1.3 Experimental Design © 2012 Pearson Education, Inc. All rights reserved. 1 of 61.
MBF3C Lesson #1: Sampling Types and Techniques
Section 1.3 Experimental Design.
Check roster below the chat area for your name to be sure you get credit! Audio will start at class time. If you are not familiar with a standard deck.
A poker hand consists of five cards.
Aim #10-7: How do we compute probability? Empirical probability applies to situations in which we observe how frequently an event occurs.
11.1 – Probability – Basic Concepts Probability The study of the occurrence of random events or phenomena. It does not deal with guarantees, but with the.
Today’s Agenda Review Homework #1 [not posted]
Welcome to Survey of Mathematics Unit 7
Information from Samples Alliance Class January 17, 2012 Math Alliance Project.
AP Stats BW 10/1 Identify the sampling technique used and discuss potential sources of bias (if any).
Business Communications & Presentations.  Numbers are so much a part of your life that you probably pay little attention to them:  “The unemployment.
Thinking Mathematically
Intro Stats Lesson 1.3 B Objectives: SSBAT classify different ways to collect data. SSBAT distinguish between different sampling techniques. Standards:
April 9, 2010Math 132: Foundations of Mathematics 8.2 & 8.3 Homework Solutions 459: 35.a. I = (4000)(0.0825)(0.75) = $ b. $4, : 1.A = $10,000(1.
Statistics 70% of high school teens who use the internet visit social networking sites, 30% have blogs, and 20% create their own art with online content.
Chapter 12 Probability © 2008 Pearson Addison-Wesley. All rights reserved.
April 22, 2010Math 132: Foundations of Mathematics 11.2 Homework Solutions 8. 10! = 3,628, P 7 = 8,648, P 3 = 6, !/(2!2!) =
Experimental Design 1 Section 1.3. Section 1.3 Objectives 2 Discuss how to design a statistical study Discuss data collection techniques Discuss how to.
Chapter 8 Probability Section R Review. 2 Barnett/Ziegler/Byleen Finite Mathematics 12e Review for Chapter 8 Important Terms, Symbols, Concepts  8.1.
March 31, 2010Math 132: Foundations of Mathematics 5.7 Homework Solutions 105. Geometric: 3/16, 3/ Geometric: 3/8, 3/ Arithmetic: 5/2, 3.
Section 14.1 Organizing and Visualizing Data. Objectives 1. Describe the population whose properties are to be analyzed. 2. Organize and present data.
April 26, 2010Math 132: Foundations of Mathematics 11.4 Homework Solutions 55. P(male) = P(female) = P(25-34) = P(35-44) =.143.
1. Identify the variable(s) of interest (the focus) and the population of the study. 2. Develop a detailed plan for collecting data. Make sure sample.
The Normal Curve Theoretical Symmetrical Known Areas For Each Standard Deviation or Z-score FOR EACH SIDE:  34.13% of scores in distribution are b/t the.
Lesson 2.6- Simple Probability and Odds, pg. 96 Objectives: To find the probability of a simple event. To find the odds of a simple event.
Probability and Odds Foundations of Algebra. Odds Another way to describe the chance of an event occurring is with odds. The odds in favor of an event.
Chapter Probability 1 of 88 3 © 2012 Pearson Education, Inc. All rights reserved.
MM207 Statistics Welcome to the Unit 7 Seminar With Ms. Hannahs.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
© 2010 Pearson Prentice Hall. All rights reserved. CHAPTER 12 Statistics.
April 16, 2010Math 132: Foundations of Mathematics 8.6 Homework Solutions Annual % Rate: 7.0% Amount of Mortgage: $200,000 # of Monthly Payments: 240 Monthly.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Probability 3.
Section 1.3 Experimental Design.
Welcome to our seventh seminar! We’ll begin shortly.
Sampling Techniques During today’s lesson you will:  Identify common sampling methods  Determine the best sample population to obtain valid, reliable.
Warm-Up Find the Mean Median and Mode of the following data sets: 1. 12, 10, 9, 11, 12, 5, 7, 9, 8, 10, 15, 9, , 10, 9, 11, 12, 5, 7, 9, 8, 10,
5 Minute Check Describe the graph on the back of your homework
Chapter 12 and 8-5 Notes Frequency Tables, Line Plots, and Histograms Frequency Table: lists each data item with the number of times it occurs.
Sect. 1-3 Experimental Design Objective: SWBAT learn how to design a statistical Study, How to collect data by taking a census using a sampling, using.
MATH Section 6.1. Sampling: Terms: Population – each element (or person) from the set of observations that can be made Sample – a subset of the.
Thinking Mathematically Events Involving Not and Or; Odds.
Fundamentals of Probability
Chapter 11 Probability.
CHAPTER 12 Statistics.
11.1 – Probability – Basic Concepts
Chapter 3 Probability Larson/Farber 4th ed.
Chapter 3 Probability.
Basic Concepts of Probability
Understandable Statistics
12.1 Sampling, Frequency Distributions, and Graphs
Lesson 13.1 Find Probabilities and Odds
Chapter 3 Probability.
Chapter 3 Probability Larson/Farber 4th ed.
Chapter 3 Probability.
Probability The risk of getting struck by lightning in any year is 1 in 750,000. The chances of surviving a lightning strike are 3 in 4. These risks.
CHAPTER 12 Statistics.
Chapter 11 Probability.
MATH 2311 Section 6.1.
Freebird Midnight Train to GA
CHAPTER 12 Statistics.
Modular 2.
Homework Due Friday- Study Island-Maintenance Sheet 25
CHAPTER 12 Statistics.
The Standard Score Standard Score (z-score)
Presentation transcript:

April 30, 2010Math 132: Foundations of Mathematics Amy Lewis Math Specialist IU1 Center for STEM Education

April 30, 2010Math 132: Foundations of Mathematics Odds The odds in favor of E are Odds in favor of E = P(E) P(not E) The odds against E are Odds against E = P(E) P(not E)

April 30, 2010Math 132: Foundations of Mathematics Odds You are dealt one card from a 52-card deck. –Find the odds in favor of getting a red queen. –Find the odds against getting a red queen. The winner of a raffle will receive a two- year scholarship to the college of his or her choice. If 1000 raffle tickets were sold and you purchased 5 tickets, what are the odds of your winning the scholarship?

April 30, 2010Math 132: Foundations of Mathematics 12.1 Sampling, Frequency Distributions, and Graphs Describe the population whose properties are to be analyzed. Select an appropriate sampling technique. Organize and present data. Identify deceptions in visual displays of data.

April 30, 2010Math 132: Foundations of Mathematics Sampling & Populations A population is the set containing all the people or objects whose properties are to be described and analyzed by the data collector. A sample is a subset or subgroup of the population.

April 30, 2010Math 132: Foundations of Mathematics Sampling & Populations A city government wants to conduct a survey among the city’s homeless to discover their opinions about required residence in city shelters from midnight until 6:00 am. –Describe the population. –A city commissioner suggest obtaining a sample by surveying all of the homeless people at the city’s largest shelter on a Sunday night. Does this seem like a good idea? Explain your answer.

April 30, 2010Math 132: Foundations of Mathematics Random Sampling A random sample is a sample obtained in such a way that every element in the population has an equal chance of being selected for the sample. How can you conduct a random sample? –Is American Idol a good example of a random sample? –How do political polls conduct random samples?

April 30, 2010Math 132: Foundations of Mathematics Random Sampling Suppose we want to know how a large city’s citizens feel about casino gambling. Which of the following would be the most appropriate way to select a random sample? –Randomly survey people who live in the oceanfront condominiums in the city. –Survey the first 200 people whose names appear in the city’s telephone directory. –Randomly select neighborhoods of the city and then randomly survey people within the selected neighborhoods.

April 30, 2010Math 132: Foundations of Mathematics Random Sampling Suppose we want to know how students at WACTC feel about changing the school colors. How could you randomly select 30 students to survey?

April 30, 2010Math 132: Foundations of Mathematics Frequency Distributions A frequency distribution is one way to present collected data. –The first column contains data values –The second column contains the number of times each value occurs. Create a frequency distribution for the data showing final course grades for students in a precalculus course: F, A, B, B, C, C, B, C, A, A, C, C, D, C, B, D, C, C, B, C

April 30, 2010Math 132: Foundations of Mathematics Frequency Distributions What about when we have a class of 40 students with nearly 40 different grades? –Check out the data on page 683. –How can we organize this data onto a reasonably-sized frequency distribution?

April 30, 2010Math 132: Foundations of Mathematics Homework Where do you see frequency distributions used in the real-world? Why are they important? Next Session: Monday, May 3