1. Chapter 1.4

2. Variable: any characteristic whose value may change from one individual to another Data: observations on single variable or simultaneously on two or more variables

3. Types of variables

4. Categorical variables or qualitative identifies basic differentiating characteristics of the population

5. Numerical variables or quantitative observations or measurements take on numerical values makes sense to average these values two types - discrete & continuous

6. Classification by the number of variables Univariate - data that describes a single characteristic of the population Bivariate - data that describes two characteristics of the population Multivariate - data that describes more than two characteristics (beyond the scope of this course

7. Identify the following: gender age hair color smoker systolic blood pressure number of girls in class categorical numerical categorical numerical

8. Categorical Data

9. Frequency the number of times the category appears in the data set

10. Frequency Distribution a table that displays the possible categories along with the associated frequencies or relative frequencies

11. Relative Frequency The fraction or proportion of the time that the category appears in the data set; frequency # of observations in the data set

12. Relative Frequency percent displayed as a decimal Relative Frequency Distribution a table that includes relative frequencies

13. Table 4. Life of AA batteries, in minutes Battery life, minutes (x) Frequency (f) Relative frequency Percent frequency 360–36920.077 370–37930.1010 380–38950.1717 390–39970.2323 400–40950.1717 410–41940.1313 420–42930.1010 430–43910.033 Total301.00100 Life of AA batteries, in minutes

14. Bar Graphs Provides a visual representation of the information from a frequency distribution where the area of each bar is proportional to the corresponding frequency Look for frequently and infrequently occurring categories

15. BAR GRAPHS Step 1: Label your axes of the graph. Draw a set of axes. Label you horizontal axis with your type that your categories fit in to. Title your graph. Step 2: Scale your axes. Use the counts in each category to help you scale your vertical axis. Write the category names at equally spaced intervals beneath the horizontal axis. Step 3: Draw a vertical bar above each category name to a height that corresponds to the count in each category.

17. Numerical Data

18. Discrete (numerical) listable set of values usually counts of items

19. Continuous (numerical) data can take on any values in the domain of the variable usually measurements of something

20. DOT PLOT Use for small data sets Each observation is represented by a dot; dots are stacked vertically Look for: spread of data, nature of distribution of data, unusual data values

21. DOT PLOTS Step 1: Label your axis and title your graph. Draw a horizontal line and label it with the variable. Title your graph Step 2: Scale the axis based on the values of the variable Step 3:Mark a dot above the number on the horizontal axis corresponding to each data value.

22. The number of goals scored by each team in the first round of the California Southern Section Division V high school soccer playoffs is shown in the following table. 5 01072104 0 30203150 3 01010203