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

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

3.  world health model world health model

4.  Misleading Graph Misleading Graph

5. 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

6. Look at graphs with different Lie Factors

7.  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”

8.  II) Types of Graphs  A. Categorical Data – use create a graph  http://nces.ed.gov/nceskids/createagraph/default.aspxhttp://nces.ed.gov/nceskids/createagraph/default.aspx  i) Pie Charts  ii) Bar Graphs  iii) dot plots B. Numerical Data i) Stem and Leaf Plots ii) Histograms iii) box plots

12. Example 1.2 - Do you listen while you walk? Percent Owning Age group (years)an MP3 player 12-1727 18-2418 25-3420 35-4416 45-5410 55-646 65+2 Why Can’t you make a pie chart of this categorical data?

13. *Draw an label a number line from min to max. *Place one dot per observation above its value * Stack multiple observations evenly. GameGoals 13 20 32 47 58 62 74 83 95 101 111 124

20.  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)

22.  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

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

26.  Symmetric  Skewed Skewed Right Skewed Left

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