Section 1-1 Day One Types of Data Bar Graphs, Pie Charts Dots Plots, Stem and leaf plots, Histograms

p. 46 1, 2,4,5 Use Create a graph as needed

 world health model world health model

 Misleading Graph Misleading Graph

Ed Tufte of Yale University has defined a “lie factor” as a measure of the amount of distortion in a graph. Lie Factor =size of effect shown in graphic/size of effect shown in data If the lie factor of a graph is greater than 1, the graph is exaggerating the size of the effect THE LIE FACTOR

Look at graphs with different Lie Factors

 I) Types of Data  A. Categorical – a variable that places an individual into one of several groups or categories. “Gender”, “Color”, “State”  B. Quantitative (numerical) – a variable that takes on a numerical value for which arithmetic operations and averaging make sense. “Height ”, “Temperature”

 II) Types of Graphs  A. Categorical Data – use create a graph   i) Pie Charts  ii) Bar Graphs  iii) dot plots B. Numerical Data i) Stem and Leaf Plots ii) Histograms iii) box plots

Example Do you listen while you walk? Percent Owning Age group (years)an MP3 player Why Can’t you make a pie chart of this categorical data?

*Draw an label a number line from min to max. *Place one dot per observation above its value * Stack multiple observations evenly. GameGoals

 Divide the range of data in equal-width classes.  Count the observations in each class – “frequency”  Draw bars to represent count or percentage of observations that fall into each class.  Bars should touch (unlike bar graphs)

 Making Calculator Histograms  1. Press and choose 1. Edit  2. Type values into list L 1.  3. Set up histogram in statplot menu  press (stat plot)  press to go to plot1  choose on  histogram  X:list l 1  Freq: 1  4. Press and enter appropriate bounds Stat 2 nd y= enter window

SHAPE - roughly symmetric skewed left skewed right, number placement of peaks (modes) OUTLIERS – departures from pattern CENTER - midpoint SPREAD - minimum value maximum value range

 Symmetric  Skewed Skewed Right Skewed Left

 Plot your data – choose an appropriate graph  Evaluate SOCS – shape, outliers, center, and spread