Putting Statistics to Work

Slides:



Advertisements
Similar presentations
Copyright © 2011 Pearson Education, Inc. Putting Statistics to Work.
Advertisements

Copyright © 2014 Pearson Education, Inc. All rights reserved Chapter 2 Picturing Variation with Graphs.
Learning Goal: To be able to describe the general shape of a distribution in terms of its number of modes, skewness, and variation. 4.2 Shapes of Distributions.
Introductory Statistics: Exploring the World through Data, 1e
Summarizing and Displaying Measurement Data
Unit 3 Sections 3-2 – Day : Properties and Uses of Central Tendency The Mean  One computes the mean by using all the values of the data.  The.
Objective To understand measures of central tendency and use them to analyze data.
 Multiple choice questions…grab handout!. Data Analysis: Displaying Quantitative Data.
Copyright © 2015, 2011, 2008 Pearson Education, Inc. Chapter 6, Unit A, Slide 1 Putting Statistics to Work 6.
Section 4.1 ~ What is Average? Introduction to Probability and Statistics Ms. Young.
Statistics Workshop Tutorial 3
Copyright © 2014 Pearson Education. All rights reserved What Is Average? LEARNING GOAL Understand the difference between a mean, median, and.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Created by Tom Wegleitner, Centreville, Virginia Section 3-1 Review and.
IT Colleges Introduction to Statistical Computer Packages Lecture 3 Eng. Heba Hamad week
Statistical Reasoning for everyday life Intro to Probability and Statistics Mr. Spering – Room 113.
Categorical vs. Quantitative…
Measures of Central Tendency: The Mean, Median, and Mode
© 2008 Pearson Addison-Wesley. All rights reserved Chapter 6 Putting Statistics to Work.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
Characterizing a Data Distribution
Describing & Comparing Data Unit 7 - Statistics. Describing Data  Shape Symmetric or Skewed or Bimodal  Center Mean (average) or Median  Spread Range.
Describing Data Week 1 The W’s (Where do the Numbers come from?) Who: Who was measured? By Whom: Who did the measuring What: What was measured? Where:
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Measures of Center.
Copyright © 2009 Pearson Education, Inc. 4.1 What Is Average? LEARNING GOAL Understand the difference between a mean, median, and mode and how each is.
Slide 1 Copyright © 2004 Pearson Education, Inc.  Descriptive Statistics summarize or describe the important characteristics of a known set of population.
Section 2.1 Visualizing Distributions: Shape, Center, and Spread.
Descriptive Statistics Ernesto Diaz Faculty – Mathematics
Lecture #3 Tuesday, August 30, 2016 Textbook: Sections 2.4 through 2.6
Types of variables Discrete VS Continuous Discrete Continuous
Figure 2-7 (p. 47) A bar graph showing the distribution of personality types in a sample of college students. Because personality type is a discrete variable.
4.2 Shapes of Distributions
Measures of Dispersion
Bellwork 1. Order the test scores from least to greatest: 89, 93, 79, 87, 91, 88, Find the median of the test scores. 79, 87, 88, 89, 91, 92, 93.
Chapter 1: Exploring Data
Introductory Statistics: Exploring the World through Data, 1e
Displaying Data with Graphs
Warm Up.
Chapter 12 Statistics 2012 Pearson Education, Inc.
Bell Ringer Create a stem-and-leaf display using the Super Bowl data from yesterday’s example
6th Grade Math Lab MS Jorgensen 1A, 3A, 3B.
Laugh, and the world laughs with you. Weep and you weep alone
Smart Phone Batteries Shape: There is a peak at 300 and the distribution is skewed to the right. Center: The middle value is 330 minutes. Spread: The.
4.2 Shapes of Distributions
9.2 - Measures of Central Tendency
12.2 – Measures of Central Tendency
The facts or numbers that describe the results of an experiment.
Warm-up 8/25/14 Compare Data A to Data B using the five number summary, measure of center and measure of spread. A) 18, 33, 18, 87, 12, 23, 93, 34, 71,
Lesson 1: Summarizing and Interpreting Data
Determine whether each situation calls for a survey, an experiment, or an observational study. Explain your reasoning. You want to find opinions on the.
Unit 6A Characterizing Data Ms. Young.
4.1 What Is Average? LEARNING GOAL
Putting Statistics to Work
Unit 6A Characterizing Data.
10.3 distributions.
Warmup - Just put on notes page
The Range Chapter Data Analysis Learning Goal: To be able to describe the general shape of a distribution in terms of its.
Answers: p.623 #6–15, 23–25.
Describing Distributions
4.2 Shapes of Distributions
Chapter 4 Describing Data.
The facts or numbers that describe the results of an experiment.
CHAPTER 1 Exploring Data
Chapter 1: Exploring Data
Putting Statistics to Work
Chapter 1: Exploring Data
4.2 Shapes of Distributions
Introductory Statistics: Exploring the World through Data, 1e
Central Tendency & Variability
Chapter 1: Exploring Data
STAT 515 Statistical Methods I Sections
Presentation transcript:

Putting Statistics to Work Copyright © 2011 Pearson Education, Inc.

Characterizing Data Unit 6A Activity: Bankrupting the Auto Companies 4 groups Discuss and be ready to share info from your group. Copyright © 2011 Pearson Education, Inc.

Definition The distribution of a variable (or data set) describes the values taken on by the variable and the frequency (or relative frequency) of these values. Copyright © 2011 Pearson Education, Inc.

Measures of Center in a Distribution The mean is what we most commonly call the average value. It is defined as follows: The median is the middle value in the sorted data set (or halfway between the two middle values if the number of values is even). The mode is the most common value (or group of values) in a distribution. Copyright © 2011 Pearson Education, Inc.

Price Data CN (1a-c) Eight grocery stores sell the PR energy bar for the following prices: $1.09 $1.29 $1.29 $1.35 $1.39 $1.49 $1.59 $1.79 1.Find the a)mean, b)median and c)mode for these prices Copyright © 2011 Pearson Education, Inc.

Mean vs. Average Copyright © 2011 Pearson Education, Inc.

Finding the Median for an Odd Number of Values Example: Find the median of the data set below. 6.72 3.46 3.60 6.44 26.70 (data set) 3.46 3.60 6.44 6.72 26.70 (sorted list) (odd number of values) median is 6.44 exact middle Copyright © 2011 Pearson Education, Inc.

Finding the Median for an Even Number of Values Example: Find the median of the data set below. 6.72 3.46 3.60 6.44 (data set) 3.46 3.60 6.44 6.72 (sorted list) (even number of values) 3.60 + 6.44 2 median is 5.02 Copyright © 2011 Pearson Education, Inc.

Finding the Mode Example: Find the mode of each data set below. Mode is 5 Bimodal (2 and 6) No Mode a. 5 5 5 3 1 5 1 4 3 5 b. 1 2 2 2 3 4 5 6 6 6 7 9 c. 1 2 3 6 7 8 9 10 Copyright © 2011 Pearson Education, Inc.

Effects of Outliers An outlier is a data value that is much higher or much lower than almost all other values. Consider the following data set of contract offers: $0 $0 $0 $0 $2,500,000 The mean contract offer is As displayed, outliers can pull the mean upward (or downward). The median and mode of the data are not affected. Copyright © 2011 Pearson Education, Inc.

Mistake CN (2) A track coach wants to determine an appropriate heart rate for her athletes during their workouts. She chooses five of her best runners and asks them to wear heart rate monitors during a workout. In the middle of the workout, she reads the following heart rates for five athletes: 130, 135, 140, 145, 325. 2. Which is a better measure of the average in this case: the mean or the median? Why? Copyright © 2011 Pearson Education, Inc.

Wage Dispute CN (3) A newspaper surveys wages for assembly workers in regional high-tech companies and reports and average of $22 per hour. The workers at one large firm immediately request a pay raise, claiming that they work as hard as employees at other companies but their average wage is only $29. The management rejects their request, telling them that they are overpaid because their average wage, in fact, is $23. 3. Can both sides be right? Explain. Copyright © 2011 Pearson Education, Inc.

Which Mean? CN (4) All 100 first year students at a small college take three courses in the Core Studies Program. The first two courses are taught in large lectures, with all 100 students in a single class. The third course is taught in ten classes of 10 students each. Students and administrators get into an argument about whether classes are too large. The students claim that the mean size of their Core Studies classes is 70. The administrators claim that the mean class size is only 25 students. 4. Can both sides be right? Explain Copyright © 2011 Pearson Education, Inc.

Shapes of Distributions Two single-peaked (unimodal) distributions A double-peaked (bimodal) distribution Copyright © 2011 Pearson Education, Inc.

Number of Peaks CN (5a-c) 5. How many peaks would you expect for each of the following distributions and why? a) Heights of all women at a college b) heights of all students at a college c) The numbers of people with particular last digits (0 through 9) in their Social Security numbers. Copyright © 2011 Pearson Education, Inc.

Symmetry A distribution is symmetric if its left half is a mirror image of its right half. Help students make connections between the overall distribution and the mean, median, mode and outliers of a population or data set. You may want to use concrete examples such as physical heights tend to be symmetrically distributed whereas the annual salaries of a medium-sized company may be right-skewed due to high-paying salaries of management. Copyright © 2011 Pearson Education, Inc.

Skewness A distribution is left-skewed if its values are more spread out on the left side. A distribution is right-skewed if its values are more spread out on the right side. Help students make connections between the overall distribution and the mean, median, mode and outliers of a population or data set. You may want to use concrete examples such as physical heights tend to be symmetrically distributed whereas the annual salaries of a medium-sized company may be right-skewed due to high-paying salaries of management. Copyright © 2011 Pearson Education, Inc.

Skewness CN (6a-c) 6. For each of the following situations, state whether you expect the distribution to be symmetric, left skewed, or right skewed and explain. a)Heights of a sample of 100 women b) Family income in the United States c) Speeds of cars on a road where a visible patrol car is using radar to detect speeders Copyright © 2011 Pearson Education, Inc.

Variation Variation describes how widely data values are spread out about the center of a distribution. From left to right, these three distributions have increasing variation. Copyright © 2011 Pearson Education, Inc.

Variation in Marathon Times CN (7) 7. How would you expect the variation to differ between times in the Olympic marathon and the times in the New York Marathon? Explain. Copyright © 2011 Pearson Education, Inc.

Quick Quiz CN (8) 8. Choose the best answer to the ten multiple choice questions. Copyright © 2011 Pearson Education, Inc.

Homework 6A p. 379:1-12 1 web (write at least 5 sentences) Salary Data New York Marathon Tax Statistics Education Statistics 1 world (write at least 5 sentences) Averages in the News Daily Averages Distributions in the News Class Notes 1-8 Copyright © 2011 Pearson Education, Inc.