1. 12.1 – Visual Displays of Data In statistics: A population includes all of the items of interest. A sample includes some of the items in the population. The study of statistics is usually divided into two main areas. Descriptive statistics: has to do with collecting, organizing, summarizing, and presenting data (information). Inferential statistics: has to do with drawing inferences or conclusions about populations based on information from samples.

2. Information that has been collected but not yet organized or processed is called raw data. 12.1 – Visual Displays of Data Raw data are often quantitative (or numerical), but can also be qualitative (or non-numerical). Quantitative data: The number of siblings in ten different families: 3, 1, 2, 1, 5, 4, 3, 3, 8, 2 Quantitative data can be sorted in mathematical order. The number siblings can appear as 1, 1, 2, 2, 3, 3, 3, 4, 5, 8 Qualitative data: The makes of five different automobiles: Toyota, Ford, Nissan, Chevrolet, Honda

3. Frequency Distributions Frequency Distribution is a method to organize data that includes many repeated items. 12.1 – Visual Displays of Data It lists the distinct values (x) along with their frequencies (f ). The relative frequency of each distinct item is the fraction, or percentage, of the data set represented by each item.

4. Example: Ten students in a math class were polled as to the number of siblings in their families {3, 2, 2, 1, 3, 4, 3, 3, 4, 2}. Construct a frequency distribution and a relative frequency distribution for the data. 12.1 – Visual Displays of Data Number xFrequency fRelative Frequency f /n 1 2 3 4 1 3 4 2 1/10= 0.1 2/10 = 0.2 4/10= 0.4 3/10= 0.3 Sum = 10 Sum of f/n = 1

5. Grouped Frequency Distributions A Grouped Frequency Distribution is used when data sets contain a large numbers of items. 12.1 – Visual Displays of Data All data items are assigned to their appropriate classes, and displayed in a table. The data are arranged into groups, or classes. 1.Make sure each data item will fit into one and only one, class. 2.Make all the classes the same width. 3.Make sure that the classes do not overlap. 4.Use from 5 to 12 classes. Guidelines for the Classes of a Grouped Frequency Distribution

6. Example: Twenty students, selected randomly were asked to estimate the number of hours that they had spent studying in the past week (in and out of class). The responses are below. Tabulate a grouped frequency distribution and a relative frequency distribution. 12.1 – Visual Displays of Data 155837422027365729 425128462958554340 56 36 The data contains values in the tens, twenties, thirties, forties and fifties. Five classes: 10-19, 20-29, 30-39, 40-49, 50-59

7. HoursFrequency fRelative Frequency f /n 12.1 – Visual Displays of Data 155837422027365729 425128462958554340 56 36 10 – 19 20 – 29 30 – 39 40 – 49 50 – 59 1 5 3 5 6 1/20 = 0.05= 5% 5/20 = 0.25= 25% 3/20 = 0.15= 15% 5/20 = 0.25= 25% 6/20 = 0.30= 30% Sum = 20 Sum of f/n = 1 or 100%

8. Histogram The data from the frequency distribution or a grouped frequency distribution can be graphically display using a histogram. Siblings Frequency 12.1 – Visual Displays of Data A series of rectangles, whose lengths represent the frequencies, are placed next to each other. Number x Frequenc y f Relative Frequency f /n 1 2 3 4 1 3 4 2 1/10= 0.1 2/10= 0.2 4/10 = 0.4 3/10 = 0.3 Sum = 10Sum of f/n = 1

9. Example: Histogram of a Grouped Frequency Distribution Frequency Hours 10-1920-29 30-39 40-49 50-59 12.1 – Visual Displays of Data HoursFrequency f 10 – 19 20 – 29 30 – 39 40 – 49 50 – 59 1 5 3 5 6 In the table, the numbers 10, 20, 30, 40, and 50 are called the lower class limits. The numbers 19, 29, 39, 49, and 59 are called the upper class limits. The class width for the distribution is the difference of any two successive lower (or upper) class limits. The class width is 10.

10. Frequency Polygon Data can also be displayed by a frequency polygon. Frequency Siblings 12.1 – Visual Displays of Data Plot a single point at the appropriate height for each frequency, connect the points with a series of connected line segments and complete the polygon with segments that trail down to the axis.

11. Line Graph A line graph is used when it is important to show how data changes with respect to another variable, such as time. 12.1 – Visual Displays of Data Example: Line Graph The line graph below shows the stock price of company PCWP over a 6-month span. Price in dollars Jan Feb Mar Apr May June Month

12. Line Graph 12.1 – Visual Displays of Data

13. Stem-and-Leaf Displays The digits to the left of the vertical line (blue region), are the “stems,” 12.1 – Visual Displays of Data The stem and leaf display is another method to present data. It preserves the exact data values. 155837422027365729 425128462958554340 56 36 15 20 7 8 9 9 36 6 7 40 2 2 3 6 51 5 6 7 8 8 The corresponding ones digits (green region) are the “leaves.”

14. Bar Graphs A frequency distribution of non-numerical data can be presented in the form of a bar graph. 12.1 – Visual Displays of Data It is similar to a histogram except that the rectangles (bars) usually are not touching each other and sometimes are arranged horizontally rather than vertically. Example: Bar Graph A bar graph is given for the occurrence of vowels in this sentence. Frequency A E I O U Vowel

15. Circle Graphs or Pie Chart A graphical alternative to the bar graph is the circle graph, or pie chart. Each sector or wedge, shows the relative magnitude of the categories. The entire circle measures 360°. The measure of each sector angle should correspond to the percentage of the data being represented. 12.1 – Visual Displays of Data Example: Expenses A general estimate of Amy’s monthly expenses are illustrated in the circle graph below. Other 35% Rent25% Food 30% Clothing 10%