Practice # 2.1 (women) # 2.3. Practice # 2.1 (women) # 2.3.

Slides:



Advertisements
Similar presentations
Statistics for the Social Sciences Psychology 340 Fall 2006 Distributions.
Advertisements

Displaying Data Objectives: Students should know the typical graphical displays for the different types of variables. Students should understand how frequency.
Source: CDC Behavioral Risk Factor Surveillance System Obesity Trends* Among U.S. Adults BRFSS, 1990, 1998, 2007 (*BMI 30, or about 30 lbs. overweight.
Obesity Trends* Among U.S. Adults BRFSS, 1985 No Data
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Lecture Slides Elementary Statistics Eleventh Edition and the Triola.
2-3 We use a visual tool called a histogram to analyze the shape of the distribution of the data.
Histograms & Comparing Graphs
Psy302 Quantitative Methods
Frequency distributions and their graphs Frequency distribution tables give the number if instances of each value in a distribution. Frequency distribution.
Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical.
Scales of Measurement n Nominal classificationlabels mutually exclusive exhaustive different in kind, not degree.
Describing Data: One Quantitative Variable
Source: Behavioral Risk Factor Surveillance System, CDC. Obesity Trends* Among U.S. Adults BRFSS, 1985 No Data
Slides online 1) Is depressed, blue 2) Is not relaxed, does not handle stress well 3) Can be tense.
Histograms, Frequency Polygons Ogives
WHAT IS BMI? BMI BODY MASS INDEX- BASED ON HEIGHT AND WEIGHT TO DETERMINE AMOUNT OF FAT AN INDIVIDUAL HAS OBESE BMI > 30.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 2 Descriptive Statistics: Tabular and Graphical Methods.
2.2 Organizing Quantitative Data. Data O Consider the following data O We would like to compute the frequencies and the relative frequencies.
Graphs, Charts and Tables Describing Your Data. Frequency Distributions.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Section 2-2 Frequency Distributions.
Section 2.2b Graphical Displays of Distributions.
2.2 ORGANIZING QUANTITATIVE DATA OBJECTIVE: GRAPH QUANTITATIVE DATA Chapter 2.
Today’s Questions Once we have collected a large number of measurements, how can we summarize or describe those measurements most effectively by using.
Statistical Analysis of Data. What is a Statistic???? Population Sample Parameter: value that describes a population Statistic: a value that describes.
2- 1 Chapter Two McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved.
Scales of Measurement n Nominal classificationlabels mutually exclusive exhaustive different in kind, not degree.
Chapter 9 Describing Variations in Data. A variable is…  A single characteristic that can vary and can be measured  Medical Variables:  Biological.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 2 Section 2 – Slide 1 of 37 Chapter 2 Section 2 Organizing Quantitative Data.
Unit 2 Lesson 2 (3.3a) Graphical Methods for Describing Data 3.3: Histograms.
Why is this important? Requirement Understand research articles Do research for yourself Real world.
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Organizing Quantitative Data: The Popular Displays
Descriptive Statistics: Tabular and Graphical Methods
Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 2.
Chapter(2) Frequency Distributions and Graphs
Chapter 2 Frequency Distribution and Graph
Are Physical Activity Professionals Needed?...Yes!
Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 2.
Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 2.
Why is this important? Requirement Understand research articles
Histograms, Frequency Polygons and Ogives
Obesity Trends* Among U.S. Adults BRFSS, 1985
Obesity Trends* Among U.S. Adults BRFSS, 1985
Bell Ringer What percent of females have brown eyes?
Line Graphs.
CHAPTER 1 Exploring Data
Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 2.
CHAPTER 1 Exploring Data
Obesity Trends* Among U.S. Adults BRFSS, 1990, 2000, 2010
CHAPTER 1 Exploring Data
1.1 Cont’d.
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 2.
CHAPTER 1 Exploring Data
Obesity Trends* Among U.S. Adults BRFSS, 1990, 1999, 2009
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Obesity Trends - U.S. Adults (1985 – 2010)
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Practice Book page 29 # 2.1 (women) # 2.3. Practice Book page 29 # 2.1 (women) # 2.3.
Obesity Trends* Among U.S. Adults BRFSS, 1985
CHAPTER 1 Exploring Data
Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 2.
Obesity Trends Among U.S. Adults Between 1985 and 2010
Presentation transcript:

Practice # 2.1 (women) # 2.3

Dieting

Pornography

Prostitution

Mate Seeking

Obesity Trends* Among U.S. Adults BRFSS, 1985 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14%

Obesity Trends* Among U.S. Adults BRFSS, 1986 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14%

Obesity Trends* Among U.S. Adults BRFSS, 1987 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14%

Obesity Trends* Among U.S. Adults BRFSS, 1988 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14%

Obesity Trends* Among U.S. Adults BRFSS, 1989 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14%

Obesity Trends* Among U.S. Adults BRFSS, 1990 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14%

Obesity Trends* Among U.S. Adults BRFSS, 1991 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19%

Obesity Trends* Among U.S. Adults BRFSS, 1992 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19%

Obesity Trends* Among U.S. Adults BRFSS, 1993 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19%

Obesity Trends* Among U.S. Adults BRFSS, 1994 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19%

Obesity Trends* Among U.S. Adults BRFSS, 1995 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19%

Obesity Trends* Among U.S. Adults BRFSS, 1996 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19%

Obesity Trends* Among U.S. Adults BRFSS, 1997 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19% ≥20%

Obesity Trends* Among U.S. Adults BRFSS, 1998 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19% ≥20%

Obesity Trends* Among U.S. Adults BRFSS, 1999 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19% ≥20%

Obesity Trends* Among U.S. Adults BRFSS, 2000 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19% ≥20%

Obesity Trends* Among U.S. Adults BRFSS, 2001 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19% 20%–24% ≥25%

Obesity Trends* Among U.S. Adults BRFSS, 2002 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19% 20%–24% ≥25%

Obesity Trends* Among U.S. Adults BRFSS, 2004 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%

Obesity Trends* Among U.S. Adults BRFSS, 2005 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%

Obesity Trends* Among U.S. Adults BRFSS, 2006 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%

Obesity Trends* Among U.S. Adults BRFSS, 2007 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%

Obesity Trends* Among U.S. Adults BRFSS, 2008 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%

Obesity Trends* Among U.S. Adults BRFSS, 2009 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%

Obesity Trends* Among U.S. Adults BRFSS, 2010 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) By 2050, for example, as many as 1 in 3 adults will develop diabetes if current trends continue No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%

Graphic Presentation of Data Basic parts of a graph Y axis X axis

Frequency Polygon Graphs quantitative data Neuroticism data

Frequency Polygon

Frequency Polygon

Frequency Polygon

Frequency Polygon

Frequency Polygon

Frequency Polygon

Histogram Used to graph quantitative data Just like a frequency polygon, except it uses bars instead of lines

Histogram

Histogram

Histogram

Histogram

Histogram

Histogram

Describing Distributions Bell-shaped distribution

Describing Distributions

Describing Distributions

Bar Graph Used to present frequencies of qualitative variables Looks like a histograph Each bar represents one category

Bar Graph

Bar Graph

Bar Graph

Bar Graph

Bar Graph

Line Graph A picture of a relationship between two variables Each point represents the value of the Y variable that goes with the corresponding X variable

Line Graph

Line Graph

Line Graph Put subjects in order using your X axis

Line Graph

Line Graph Marsha: N=22; H=2

Line Graph Greg: N=20; H=3

Line Graph Cindy: N=12; H=5

Line Graph Bobby: N=17; H=7

Line Graph Jan: N=15; H=8

Line Graph Peter: N=8; H=9

Line Graph

What is the meaning of the number 14 on the x-axis? What is the meaning of the number 14 on the y-axis? How many people had a score of 11? How about 23? What type of graph is this? What is its distribution?

What is the meaning of the number 20 on the y-axis? How many males and females are in the course? What type of graph is this? What scale does the x axis use? The y axis? What type of distribution is this?

What is the meaning of the number 10 on the x-axis? What is the meaning of the number 10 on the y-axis? What type of graph is this? What type of distribution is this?

Practice Page 43 #2.12

Construct a line graph relating the average temperature for January and the elevation of a city. Write a sentence of interpretation. City Elevation (feet) Temperature (F) Albuquerque, NM 5000 34 Amarillo, TX 3700 35 Flagstaff, AZ 6900 29 Little Rock, AR 350 39 Oklahoma City, OK 1200 36