chapter 3.4 exploratory data analysis. traditional statistics data are organized by using a...

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Chapter 3.4 Exploratory Data Analysis

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Page 1: Chapter 3.4 Exploratory Data Analysis. Traditional Statistics  Data are organized by using a frequency distribution  Use distribution to create various

Chapter 3.4

Exploratory Data Analysis

Page 2: Chapter 3.4 Exploratory Data Analysis. Traditional Statistics  Data are organized by using a frequency distribution  Use distribution to create various

Traditional Statistics Data are organized by using a frequency

distribution

Use distribution to create various graphs, histogram, frequency polygon, ogive

Mean and standard deviation are computer to summarize data

Purpose is to confirm various conjectures about the nature of the data

Page 3: Chapter 3.4 Exploratory Data Analysis. Traditional Statistics  Data are organized by using a frequency distribution  Use distribution to create various

Exploratory Data Analysis (EDA) Purpose is to examine data to find out what

information can be discovered about the data such as the center and the spread

Organized using a stem and leaf plot

Measure of central tendency is the median and variation is the interquartile range

Represented graphically using a boxplot

Page 4: Chapter 3.4 Exploratory Data Analysis. Traditional Statistics  Data are organized by using a frequency distribution  Use distribution to create various

Quartiles Quartiles divide the distribution into four

groups, separated by Q1, Q2, Q3

Q1 is the same as the 25th percentile

Q2 is the same as the 50th percentile (median)

Q3 is the same as the 75th percentile

For example: 5, 6, 12, 13, 15, 18, 22, 50

Page 5: Chapter 3.4 Exploratory Data Analysis. Traditional Statistics  Data are organized by using a frequency distribution  Use distribution to create various

The five number summary1. The lowest value of the data set (minimum)

2. Q1

3. the median

4. Q3

5. The highest value of the data set (maximum)

Page 6: Chapter 3.4 Exploratory Data Analysis. Traditional Statistics  Data are organized by using a frequency distribution  Use distribution to create various

Boxplot A boxplot is a graph of a data set obtained by

drawing a horizontal line from the minimum data value to Q1 , drawing a horizontal line from Q3 to the maximum data value, and drawing a box whose vertical sides pass through Q1 and Q3 with a vertical line inside the box passing through the median or Q2

Page 7: Chapter 3.4 Exploratory Data Analysis. Traditional Statistics  Data are organized by using a frequency distribution  Use distribution to create various

Procedure for constructing a boxplot1. Find the five-number summary for the data

values

2. Draw a horizontal axis with a scale such that it includes the maximum and the minimum data values.

3. Draw a box whose vertical sides go through Q1 and Q3 and draw a vertical line through the median

4. Draw a line from the minimum data value to the left side of the box and a line from the maximum data value to the right side of the box.

Page 8: Chapter 3.4 Exploratory Data Analysis. Traditional Statistics  Data are organized by using a frequency distribution  Use distribution to create various

Number of Meteorites Found The number of meteorites found in 10 states

of the U. S. is 89, 47, 164, 296, 30, 215, 138, 78, 48, 39. Construct a boxplot for the data

Page 9: Chapter 3.4 Exploratory Data Analysis. Traditional Statistics  Data are organized by using a frequency distribution  Use distribution to create various

Information obtained from a boxplot If the median is near the

center of the box, the distribution is approximately symmetric

If the median falls to the left for the center of the box, the distribution is positively (right) skewed.

If the median falls to the right of the center, the distribution is negatively (left) skewed.

If the lines are about the same length, the distribution is approximately symmetric

If the right line is larger than the left line, the distribution is positively (right) skewed

If the left line is larger than the right line, the distribution is negatively (left) skewed

Page 10: Chapter 3.4 Exploratory Data Analysis. Traditional Statistics  Data are organized by using a frequency distribution  Use distribution to create various

Sodium Content of Cheese A dietitian is interest in comparing the sodium

content of real cheese with the sodium content of a cheese substitute. Compare the distribution using boxplots.

Real Cheese Cheese Substitute

310 4520 45 40 270 180 250 290

220 240 180 90 130 260 340 310

Page 11: Chapter 3.4 Exploratory Data Analysis. Traditional Statistics  Data are organized by using a frequency distribution  Use distribution to create various

Resistant Statistic A resistant statistic is relatively less affected

by outliers than a nonresistant statistic.

The mean and standard deviation are nonresistant statistics

Sometimes, when a distribution is skewed or contains outliers, the median and interquartile range may more accurately summarize the data than the mean and standard deviation

Page 12: Chapter 3.4 Exploratory Data Analysis. Traditional Statistics  Data are organized by using a frequency distribution  Use distribution to create various

Correspondence between traditional and exploratory data analysis

Traditional Exploratory data analysis

 Frequency Distribution  Stem and leaf plot

 Histogram  boxplot

 Mean  median

 Standard Deviation  interquartile range

Page 13: Chapter 3.4 Exploratory Data Analysis. Traditional Statistics  Data are organized by using a frequency distribution  Use distribution to create various

Try it! Applying the concepts 3-4

Pg. 174