Graphing PACKET 20 Types of Graphs Bar chartgraph

Graphing PACKET #20

Types of Graphs �Bar chart/graph Consists of parallel, vertical bars or rectangles, with lengths proportional to the frequency provided by the data. �Pie chart/graph Circular graph having radii, lines, dividing the circle into sectors �Line chart/graph Created by connecting s series of data points together with a line.

Bar Charts HISTOGRAM

Histogram �Introduced by Kael Pearson in the 1890’s. �Bar chart that displays a frequency distribution using rectangles. May be used to display grouped frequency. �Special Note The area of each rectangle is proportional to the frequency represented. Frequency 9 8 7 6 5 4 3 2 1 0 90 – 80 – 100 89 70 – 70 60 – 59 69

Pie Charts

Introduction �Useful for representing proportions. Individual data values of the X variable are represented as the “wedges” of the pie. Frequency 9 8 7 6 5 4 3 2 1 0 90 – 80 – 100 89 70 – 70 60 – 59 69

Pie Chart—Counts �Also known as a Frequency Pie Chart frequency pie chart �Interprets data like a histogram. 90 – 100 80 – 89 60 – 69 0 – 59 The frequencies are represented as pie slices. 10% 70 – 70 20% 40%

Pie Chart—Values �Also known as the data pie chart �Selected variable will be represented by consecutive slices of the pie � 0’s and negative values cannot be represented. Data Pie Chart 60 – 69 ; 2 90 – 100 ; 4 70 – 70 ; 4 80 – 89 ; 8

Line Graphs/Charts

Types of Line Graphs �Kurtosis Graphical measure of variability among scores/data � Three types Leptokurtic • Small range with a very peaked mode Platykurtic • Large range with a low mode Mesokurtic • Bell-shaped with gradual slopes

Types of Line Graphs II �Skew Graphical measure of extreme scores � Two types Negative • Extreme scores on the left Positive • Extreme scores on the right

Kurtosis Platykurtic Leptokurtic Daily Commute Studying & Texting 12 2, 5 10 2 8 # of Individuals 1, 5 6 Hours of Study Time 1 4 2 0, 5 0 0 0 1 2 3 4 5 6 Hours Spent in Traffic 0 4 8 12 16 20 # of Text Messages Received/Sent

Kurtosis Mesokurtic The Effect of Work Hours on Time Spent Eating Lunch 9 8 7 6 5 Minutes Spent Eating Lunch 4 3 2 1 0 0 2 4 6 8 10 12 14 16 18 20 Number of Work Hours

Skew Negative Positive Negatively Skewed Curve Positively Skewed Curve 6 10 5 8 4 6 3 4 2 1 2 0 0 0 1 2 3 4 5 6 7 8 9 10

Scatter Plots TO COME IN CORRELATION PACKET
- Slides: 15