# Statistics Chapter 2 - Tabular and Graphical Methods

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1. What are the ways to display qualitative data?
• Frequency Distribution
• Relative frequency distribution
• Bar graph
• Pie Chart
2. What measurement scales apply to qualitative data?
• Nominal
• Ordinal
3. How can you display quantitative data?
• Frequency distribution
• Relative frequency distribution
• Histogram
• Cumulative distributions
4. What measurement scales apply to quantitative data?
• Interval
• Ratio
5. How many classes are typically in a frequency distribution?
5-20
6. How do you calculate the width of each class?
(largest data value - Smallest data value) / Number of classes
7. What is the class midpoint?
• The value halfway between the lower and upper class limits
• Example: 10-14 (12)
8. What are the 4 rules of frequency distribution classes?
• Classes can not overlap
• Classes can not have breaks
• Each data item must fit into only ONE class
• Classes must have the same width
9. What is an open-end class?
A frequency distribution class that requires only a lower class limit or an upper class limit.
10. What is a symmetric skew?
Near perfect bell curve
11. What is a left or negative skew?
Longer tail to the left on a histogram.
12. What is a right or positive skew on a histogram?
Longer tail to the right.
13. What is the difference between a histogram and a bar graph?
A histogram has no spaces between each bar.
14. What is a cumulative distribution?
Each value represents the frequency of the current class plus the amounts of all previous classes.
15. What is a crosstabulation?
• Tabular summary of 2 variables
• The variables can be qualitative or quantitative
16. What are the relevant percentages for crosstabulations?
• Row
• Columns