Describing Distributions Visually Section 1.1.1. Starter Problem Mr. McPeak plays a lot of golf. This summer he got a new driver and kept track of how.

Slides:



Advertisements
Similar presentations
So What Do We Know? Variables can be classified as qualitative/categorical or quantitative. The context of the data we work with is very important. Always.
Advertisements

Analyzing Data (C2-5 BVD) C2-4: Categorical and Quantitative Data.
Chapter 3 Graphic Methods for Describing Data. 2 Basic Terms  A frequency distribution for categorical data is a table that displays the possible categories.
Copyright © 2014 Pearson Education, Inc. All rights reserved Chapter 2 Picturing Variation with Graphs.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 2 Exploring Data with Graphs and Numerical Summaries Section 2.2 Graphical Summaries.
8.1 Types of Data Displays Remember to Silence Your Cell Phone and Put It In Your Bag!
Descriptive Statistics Summarizing data using graphs.
Math Alliance Project 4th Stat Session
1.1 Displaying and Describing Categorical & Quantitative Data.
Histogram Most common graph of the distribution of one quantitative variable.
Section 2.2 Graphical Displays of Distributions.  Dot Plots  Histograms: uses bars to show quantity of cases within a range of values  Stem-and-leaf.
Organization and description of data
Sexual Activity and the Lifespan of Male Fruitflies
Warm Up Problem  Solve for x: 6x + 1 = 37. Histograms Lesson 12-2.
AP Statistics Day One Syllabus AP Content Outline Estimating Populations and Subpopulations.
Chapter 2: Organizing Data
AP STATISTICS Section 1.1: Displaying Distributions.
Let’s Review for… AP Statistics!!! Chapter 1 Review Frank Cerros Xinlei Du Claire Dubois Ryan Hoshi.
Histograms, Frequency Polygons Ogives
Exploring Relationships Between Numerical Variables Scatterplots.
ITEC6310 Research Methods in Information Technology Instructor: Prof. Z. Yang Course Website: c6310.htm Office:
AP Statistics Introduction & Chapter 1.1 Variables, Distributions & Graphs Goals: What will we know and be able to do as a result of today’s Lesson?
Chapter 1 The Role of Statistics. Three Reasons to Study Statistics 1.Being an informed “Information Consumer” Extract information from charts and graphs.
Chapter 1.4. Variable: any characteristic whose value may change from one individual to another Data: observations on single variable or simultaneously.
1 Laugh, and the world laughs with you. Weep and you weep alone.~Shakespeare~
AP STATISTIC LESSON 1-1 EXPLORING DATA DISPLAYING DISTRIBUTION WITH GRAPHS.
Section 2.2: More Graphs and Displays. Objective: To be able to create and analyze a variety of graphical displays. 5. Stem and leaf plot: a way of viewing.
1 Chapter 3 Looking at Data: Distributions Introduction 3.1 Displaying Distributions with Graphs Chapter Three Looking At Data: Distributions.
EXPLORING DATA LESSON 1 – 1 Day 2 Displaying Distributions with Graphs Displaying quantitative variables.
Section 2.2 Graphical Displays of Distributions.  Dot Plots  Histograms: uses bars to show quantity of cases within a range of values  Stem-and-leaf.
Bellwork 1. If a distribution is skewed to the right, which of the following is true? a) the mean must be less than the.
Unit 4 Statistical Analysis Data Representations.
Lesson 1 – 1a from Displaying Distribution with Graphs.
Copyright © 2010 Pearson Education, Inc. Chapter 4 Displaying and Summarizing Quantitative Data.
Organizing Data Looking for Patterns and departures from them.
Analyzing Categorical Data & Displaying Quantitative Data Section 1.1 & 1.2 Reference Text: The Practice of Statistics, Fourth Edition. Starnes, Yates,
Essential Statistics Chapter 11 Picturing Distributions with Graphs.
Displaying Distributions with Graphs. the science of collecting, analyzing, and drawing conclusions from data.
Section 2.2b Graphical Displays of Distributions.
Math 145 September 11, Recap  Individuals – are the objects described by a set of data. Individuals may be people, but they may also be animals.
Chapter 3: Organizing Data. Raw data is useless to us unless we can meaningfully organize and summarize it (descriptive statistics). Organization techniques.
CHAPTER 1 Picturing Distributions with Graphs BPS - 5TH ED. CHAPTER 1 1.
More Visual Displays of Data *** Calculator Skills List Operations and LINK command Section
1 Take a challenge with time; never let time idles away aimlessly.
Chapter 5: Organizing and Displaying Data. Learning Objectives Demonstrate techniques for showing data in graphical presentation formats Choose the best.
AP Statistics Objective: Students will be able to construct and determine when to use bar charts, pie charts, and dot plots. (Histograms)
Statistics Unit Test Review Chapters 11 & /11-2 Mean(average): the sum of the data divided by the number of pieces of data Median: the value appearing.
Copyright © 2009 Pearson Education, Inc. 3.2 Picturing Distributions of Data LEARNING GOAL Be able to create and interpret basic bar graphs, dotplots,
1 By maintaining a good heart at every moment, every day is a good day. If we always have good thoughts, then any time, any thing or any location is auspicious.
1.2 Displaying Quantitative Data with Graphs.  Each data value is shown as a dot above its location on the number line 1.Draw a horizontal axis (a number.
Relative Cumulative Frequency Graphs
Displaying and Describing Distributions
Statistics Unit Test Review
Looking at data Visualization tools.
Unit 4 Statistical Analysis Data Representations
3 2 Chapter Organizing and Summarizing Data
Laugh, and the world laughs with you. Weep and you weep alone
Displaying Distributions with Graphs
Bell Ringer What percent of females have brown eyes?
Chapter 2 Describing Distributions of Data
Homework: Frequency & Histogram worksheet
Warm Up Problem Solve for x: 6x + 1 = 37.
CHAPTER 1 Exploring Data
Analyzing Categorical Data & Displaying Quantitative Data
10.5 Organizing & Displaying Date
Good Morning AP Stat! Day #2
CHAPTER 1 Exploring Data
Lesson – Teacher Notes Standard:
Section 1.1: Displaying Distributions
Displaying Distributions with Graphs
Presentation transcript:

Describing Distributions Visually Section 1.1.1

Starter Problem Mr. McPeak plays a lot of golf. This summer he got a new driver and kept track of how far he hit his tee shots in several rounds. Look at these data (drive lengths in yards) and then write a few sentences that describe the lengths of his drives:

Today’s Objectives State whether a variable is categorical or quantitative. Manually create a dotplot and a histogram that represent given data. Describe a distribution in terms of center, spread and shape. California Standard 14.0 Students organize and describe distributions of data by using a number of different methods, including frequency tables, histograms, standard line graphs and bar graphs, stem-and-leaf displays, scatterplots, and box-and- whisker plots.

Individuals and Variables Individuals are the objects described in data. –They MAY be people, but could be things. –Notice that for the golf tee shots, the “individuals” were the shots, each of which had its own length. Variables are the characteristics of interest in an individual. –Different individuals can have different values of a variable (such as hair color or height). –For the tee shots, the variable was the length the ball went after being hit.

Types of Variables Categorical variables record which group or category an individual belongs to. –What color is your hair? –What year are you in school? –What city do you live in? –Did the tee shot land in the fairway? –It does NOT make sense to average the results. Quantitative variables take on numeric values. –How tall is a person? –What score did a person get on the SAT? –How many desks are in a room? –How long was the tee shot? –It DOES make sense to average the results.

Visual Representation of Categorical Variables Categorical variables are typically represented by pie charts (for percents) or bar charts (percents or counts). Married?Count (M)Percent Single Married Widowed Divorced

Visual representation of Quantitative Variables: Dotplots The most basic method is a dotplot. –Every data point can be seen on the plot. Construction method: –Draw a horizontal axis with a scale that covers the full range of values for the variable. –Put a dot on (or above) the axis for each data point. –If data duplicate, stack them vertically. Construct a dotplot now of Mr. McPeak’s drives:

Dotplot of Drive Data Based on the dotplot, estimate the center. –We see it around 230 or 240 yards. Estimate the spread. –Roughly from 190 to almost 280, so spread is about 90 yards. Describe the shape. –It appears “mound-shaped” with most of the data clustered at the center and with tails at each end.

Visual representation of Quantitative Variables: Histograms Another important method is a histogram. –Individual data points cannot be seen on the plot. –Many data points are grouped together in vertical bars. Construction method: –Draw a horizontal axis with a scale that covers the full range of values for the variable. –Decide bar width (also called class width) so that 5 to 10 bars will cover the full range of data. –Set borders for bars, count frequencies, draw bars. –Use a vertical axis to show the bar height. Construct a histogram now for Mr. McPeak’s drives. –Use bars 10 yards wide, starting at 190 yards. –So bar borders will be 190, 200, 210, … etc. –Notice that your dotplot has all individual data points.

Histogram of Drive Data From a visual examination, estimate the center and spread; also describe the shape. –As before, you should see the center around 230 to 240, the spread looks like 90, and the shape still looks like a mound.

Today’s Objectives State whether a variable is categorical or quantitative. Manually create a dotplot and a histogram that represent given data. Describe a distribution in terms of center, spread and shape. California Standard 14.0 Students organize and describe distributions of data by using a number of different methods, including frequency tables, histograms, standard line graphs and bar graphs, stem-and-leaf displays, scatterplots, and box-and- whisker plots.

Homework Read pages 4-15 in the text. –Ignore Activity 1. –Work through Example 1.2 in detail; pay attention to the calculator instruction. –Vocabulary and important concepts are highlighted by “boxing” them. There are five such cases in this assignment and there will be a quiz tomorrow! Do problems (exercises) 2 – 7. –Notice the first problem is 1.2 on page 8 –Respond fully to each question. One of them will be scored for your daily homework grade! –Use flat 3-ring binder filler paper or graph paper Use of spiral-bound paper with rough edges will lose points!