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Chapter 4 Graphing I. Why? Describes data visually, more clearly.

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Presentation on theme: "Chapter 4 Graphing I. Why? Describes data visually, more clearly."— Presentation transcript:

1 Chapter 4 Graphing I. Why? Describes data visually, more clearly. Frequency Distribution Class Interval Column – divides the scores up into categories (0-4, 5-9, etc.). Usually range of 2,5,10, or 25 data points. Main thing: be consistent! Frequency Column – number of scores within that range or category. See example: p.50 Graphs Histogram – shows the distribution of scores by class interval. Can compare different distributions on the same histogram. Shows: Variability (p. 59) Skewness (p. 59). If the mean is greater than the median, positive skewness. If median is greater than mean, negative skewness.

2 Example Psychology Test scores (range from 46-167.

3 Central Tendency and Variability
Centre

4 Central Tendency and Variability
Spread

5 Skewness If the data set is symmetric, the mean equals the median.

6 Skewness If the data set is skewed to the right, the mean is greater than the median. Median Mean

7 Skewness If the data set is skewed to the left, the mean is less than the median. Mean Median

8 B. Column Charts – used to compare frequencies of different categories with one another; simply tells the quantity of a category according to some scale. Categories are on the x-axis and values (scores) on the y-axis (p. 63 example). SCALE IS IMPORTANT (CSPAN-drug use story). Bar Charts – same as Column chart, but reverse the axes. Line Chart – Used to show trends (e.g. rise and fall in pres. popularity – line on our website or see example p. 64). Pie Charts – Great for proportions (percent of MS budget going to each budget category, like education). SPSS and Graphing: Exercises in class (Histogram, Bar, Line).


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