3-5: Exploratory Data Analysis  Exploratory Data Analysis (EDA) data can be organized using a stem and leaf (as opposed to a frequency distribution) 

Slides:



Advertisements
Similar presentations
C. D. Toliver AP Statistics
Advertisements

Chapter 2 Exploring Data with Graphs and Numerical Summaries
Measures of Dispersion boxplots. RANGE difference between highest and lowest value; gives us some idea of how much variation there is in the categories.
Describing Data: Percentiles
Measures of Position - Quartiles
Understanding and Comparing Distributions 30 min.
Sullivan – Statistics: Informed Decisions Using Data – 2 nd Edition – Chapter 3 Introduction – Slide 1 of 3 Topic 16 Numerically Summarizing Data- Averages.
Chapter 3 Numerically Summarizing Data Section 3.5 Five Number Summary; Boxplots.
1 Distribution Summaries Measures of central tendency Mean Median Mode Measures of spread Range Standard Deviation Interquartile Range (IQR)
Homework Questions. Quiz! Shhh…. Once you are finished you can work on the warm- up (grab a handout)!
QBM117 Business Statistics
CHAPTER 2: Describing Distributions with Numbers
5 Number Summary, Boxplots, Outliers, and Resistance
5 Number Summary Box Plots. The five-number summary is the collection of The smallest value The first quartile (Q 1 or P 25 ) The median (M or Q 2 or.
The Five-Number Summary And Boxplots. Chapter 3 – Section 5 ●Learning objectives  Compute the five-number summary  Draw and interpret boxplots 1 2.
381 Descriptive Statistics-III (Measures of Central Tendency) QSCI 381 – Lecture 5 (Larson and Farber, Sects 2.3 and 2.5)
Materials Reminders. Get out your agenda if you see your name below. You need to come to my room tomorrow. Period 2Period 7.
Exploratory Data Analysis
Percentiles and Box – and – Whisker Plots Measures of central tendency show us the spread of data. Mean and standard deviation are useful with every day.
Section 1 Topic 31 Summarising metric data: Median, IQR, and boxplots.
Homework Questions. Measures of Center and Spread Unit 5, Statistics.
Chapter 3 Data Description Section 3-3 Measures of Variation.
BOX PLOTS (BOX AND WHISKERS). Boxplot A graph of a set of data obtained by drawing a horizontal line from the minimum to maximum values with quartiles.
Percentiles For any whole number P (between 1 and 99), the Pth percentile of a distribution is a value such that P% of the data fall at or below it. The.
Chapter 2 Section 5 Notes Coach Bridges
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 3 Section 5 – Slide 1 of 21 Chapter 3 Section 5 The Five-Number Summary And Boxplots.
Chapter 5: Boxplots  Objective: To find the five-number summaries of data and create and analyze boxplots CHS Statistics.
+ Chapter 1: Exploring Data Section 1.3 Describing Quantitative Data with Numbers The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.
Chapter 6: Interpreting the Measures of Variability.
Chapter 4 Histograms Stem-and-Leaf Dot Plots Measures of Central Tendency Measures of Variation Measures of Position.
Introductory Statistics Lesson 2.5 A Objective: SSBAT find the first, second and third quartiles of a data set. SSBAT find the interquartile range of a.
5 Number Summary, Boxplots, Outliers, and Resistance.
Data Description Note: This PowerPoint is only a summary and your main source should be the book. Lecture (8) Lecturer : FATEN AL-HUSSAIN.
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.
Chapter 4 Histograms Stem-and-Leaf Dot Plots Measures of Central Tendency Measures of Variation Measures of Position.
Box and Whisker Plots or Boxplots
a graphical presentation of the five-number summary of data
Chapter 2 Descriptive Statistics.
Statistics 1: Statistical Measures
Data Description Chapter(3) Lecture8)
Statistics Unit Test Review
STATISTICS ELEMENTARY MARIO F. TRIOLA
Common Core Math I Unit 1: One-Variable Statistics Boxplots, Interquartile Range, and Outliers; Choosing Appropriate Measures.
Unit 2 Section 2.5.
CHAPTER 2: Describing Distributions with Numbers
3-3: Measures of Position
Averages and Variation
Statistical Reasoning
CHAPTER 1 Exploring Data
CHAPTET 3 Data Description.
Box and Whisker Plots Algebra 2.
2.6: Boxplots CHS Statistics
Numerical Measures: Skewness and Location
Measures of Position Quartiles Interquartile Range
Warmup What five numbers need to be mentioned in the complete sentence you write when the data distribution is skewed?
Measure of Center And Boxplot’s.
3.4 Exploratory Data Analysis
Chapter 2 Descriptive Statistics.
Quartile Measures DCOVA
Measure of Center And Boxplot’s.
Descriptive Statistics
Common Core Math I Unit 2: One-Variable Statistics Boxplots, Interquartile Range, and Outliers; Choosing Appropriate Measures.
Common Core Math I Unit 1: One-Variable Statistics Boxplots, Interquartile Range, and Outliers; Choosing Appropriate Measures.
Measures of Central Tendency
Common Core Math I Unit 1: One-Variable Statistics Boxplots, Interquartile Range, and Outliers; Choosing Appropriate Measures.
Common Core Math I Unit 1: One-Variable Statistics Boxplots, Interquartile Range, and Outliers; Choosing Appropriate Measures.
Day 52 – Box-and-Whisker.
Quiz.
Box and Whisker Plots and the 5 number summary
Describing Data Coordinate Algebra.
Presentation transcript:

3-5: Exploratory Data Analysis  Exploratory Data Analysis (EDA) data can be organized using a stem and leaf (as opposed to a frequency distribution)  The measure of central tendency used is the median.  The measure of variation used is the interquartile range (IQR = Q 3 -Q 1 ).  Data is represented graphically in a boxplot (also known as Box and Whisker Plot).  Use resistant statistics – statistics relatively less affected by outliers  Boxplot – a graph of a data set obtained by drawing :  a horizontal line from the minimum data value to Q 1  a horizontal line from Q 3 to the maximum data value  a box whose vertical sides pass through Q 1 and Q 3,  a vertical line inside the box passing through the median (Q 2 ).

 Five Number Summary – the five specific values used to construct a boxplot.  Minimum, the lowest value in a data set  Q 1  The median  Q 3  Maximum, the highest value in a data set Section 3-5

Determining the Five Number Summary Section 3-5  A stockbroker recorded the number of clients she saw each day over an 11-day period. 33, 38, 43, 30, 29, 40, 51, 27, 42, 23, 31  Arrange the data in order  Find the median  Find Q 1.  Find Q 3.

Creating a Boxplot Section 3-5  Draw an appropriate scale on a number line that contains values that span your five number summary  Plot your five number summary above the number line.  Draw a horizontal line from your minimum to Q 1.  Draw a horizontal line from Q 3 to your maximum.  Draw a box from Q 1 to Q 3.  Draw a vertical line through your median.

How To Read a Boxplot Section 3-5  The median  If the median is near the center of the box, the distribution is symmetric.  If the median is to the left of the center of the box, the distribution is positively skewed.  If the median is to the right of the center of the box, the distribution is negatively skewed.  The lines (or “whiskers”)  If the lines are about the same length, the distribution is symmetric.  If the right line is larger, the distribution is positively skewed.  If the left line is larger, the distribution is negatively skewed.

Boxplot of Two Data Sets Section 3-5  A dietician is interested in comparing the sodium content of real cheese with the sodium content of a cheese substitute. The data for the two random samples are shown. Compare the distributions using boxplots. Real CheeseCheese Substitute

Homework  Pg 157: 1-3, 7-10, 12 Section 3-5