Download presentation

Presentation is loading. Please wait.

1
**Descriptive Statistics**

Chapter 2 Descriptive Statistics

2
**Chapter Outline 2.1 Frequency Distributions and Their Graphs**

2.2 More Graphs and Displays 2.3 Measures of Central Tendency 2.4 Measures of Variation 2.5 Measures of Position 2

3
**Frequency Distributions and Their Graphs**

Section 2.1 Frequency Distributions and Their Graphs 3

4
**Section 2.1 Objectives Construct frequency distributions**

Construct frequency histograms, frequency polygons, relative frequency histograms, and ogives 4

5
**Summarizing data/Frequency tables**

When data is collected from a survey or designed experiment, they must be organized into a manageable form. Data that is not organized is referred to as raw data. Ways to Organize Data: Tables; Graphs; and Numerical Summaries. A frequency distribution lists classes (or categories) of values, along with frequencies (or counts) of the number of values that fall into each class. 5

6
**Frequency tables: Definitions**

Lower Class Limits: are the smallest numbers that can actually belong to different classes. Upper Class Limits: are the largest numbers that can actually belong to different classes. Class Width: is the difference between two consecutive lower class limits or two consecutive upper class limits. 6

7
**Frequency Distribution**

A table that shows classes or intervals of data with a count of the number of entries in each class. The frequency, f, of a class is the number of data entries in the class. Class Frequency, f 1 – 5 5 6 – 10 8 11 – 15 6 16 – 20 21 – 25 26 – 30 4 Class width 6 – 1 = 5 Lower class limits Upper class limits 7

8
**Constructing a Frequency Distribution**

Decide on the number of classes. Usually between 5 and 20; otherwise, it may be difficult to detect any patterns. Find the class width. Determine the range of the data. Divide the range by the number of classes. Round up to the next convenient number. 8

9
**Constructing a Frequency Distribution**

Find the class limits. You can use the minimum data entry as the lower limit of the first class. Find the remaining lower limits (add the class width to the lower limit of the preceding class). Find the upper limit of the first class. Remember that classes cannot overlap. Find the remaining upper class limits. 9

10
**Constructing a Frequency Distribution**

Make a tally mark for each data entry in the row of the appropriate class. Count the tally marks to find the total frequency f for each class. 10

11
**Guidelines for Frequency tables**

1. Be sure that the classes are mutually exclusive. 2. Include all classes, even if the frequency is zero. 3. Use the same width for all classes. 4. Select convenient numbers for class limits. 5. Use between 5 and 20 classes. 6. The sum of the class frequencies must equal the number of original data values. 11

12
**Example: Constructing a Frequency Distribution**

The following sample data set lists the number of minutes 50 Internet subscribers spent on the Internet during their most recent session. Construct a frequency distribution that has seven classes 12

13
**Solution: Constructing a Frequency Distribution**

Number of classes = 7 (given) Find the class width Round up to 12 13

14
**Solution: Constructing a Frequency Distribution**

Lower limit Upper limit 7 Use 7 (minimum value) as first lower limit. Add the class width of 12 to get the lower limit of the next class. = 19 Find the remaining lower limits. Class width = 12 19 31 43 55 67 79 14

15
**Solution: Constructing a Frequency Distribution**

The upper limit of the first class is 18 (one less than the lower limit of the second class). Add the class width of 12 to get the upper limit of the next class = 30 Find the remaining upper limits. Lower limit Upper limit 7 19 31 43 55 67 79 Class width = 12 18 30 42 54 66 78 90 15

16
**Solution: Constructing a Frequency Distribution**

Make a tally mark for each data entry in the row of the appropriate class. Count the tally marks to find the total frequency f for each class. Class Tally Frequency, f 7 – 18 IIII I 6 19 – 30 IIII IIII 10 31 – 42 IIII IIII III 13 43 – 54 IIII III 8 55 – 66 IIII 5 67 – 78 79 – 90 II 2 16 Σf = 50

17
**Determining the Midpoint**

Midpoint of a class Class Midpoint Frequency, f 7 – 18 6 19 – 30 10 31 – 42 13 Class width = 12 17

18
**Determining the Relative Frequency**

Relative Frequency of a class Portion or percentage of the data that falls in a particular class. Class Frequency, f Relative Frequency 7 – 18 6 19 – 30 10 31 – 42 13 18

19
**Determining the Cumulative Frequency**

Cumulative frequency of a class The sum of the frequency for that class and all previous classes. Class Frequency, f Cumulative frequency 7 – 18 6 19 – 30 10 31 – 42 13 6 + 16 + 29 19

20
**Expanded Frequency Distribution**

Class Frequency, f Midpoint Relative frequency Cumulative frequency 7 – 18 6 12.5 0.12 19 – 30 10 24.5 0.20 16 31 – 42 13 36.5 0.26 29 43 – 54 8 48.5 0.16 37 55 – 66 5 60.5 0.10 42 67 – 78 72.5 48 79 – 90 2 84.5 0.04 50 Σf = 50 20

21
**Graphs of Frequency Distributions**

Frequency Histogram A bar graph that represents the frequency distribution. The horizontal scale is quantitative and measures the data values. The vertical scale measures the frequencies of the classes. Consecutive bars must touch. data values frequency 21

22
**Class Boundaries Half this distance is 0.5. Class boundaries**

The numbers that separate classes without forming gaps between them. Class Boundaries Frequency, f 7 – 18 6 19 – 30 10 31 – 42 13 The distance from the upper limit of the first class to the lower limit of the second class is 19 – 18 = 1. Half this distance is 0.5. 6.5 – 18.5 First class lower boundary = 7 – 0.5 = 6.5 First class upper boundary = = 18.5 22

23
**Class Boundaries Class Class boundaries Frequency, f 7 – 18 6.5 – 18.5**

19 – 30 18.5 – 30.5 10 31 – 42 30.5 – 42.5 13 43 – 54 42.5 – 54.5 8 55 – 66 54.5 – 66.5 5 67 – 78 66.5 – 78.5 79 – 90 78.5 – 90.5 2 23

24
**Example: Frequency Histogram**

Construct a frequency histogram for the Internet usage frequency distribution. Class Class boundaries Midpoint Frequency, f 7 – 18 6.5 – 18.5 12.5 6 19 – 30 18.5 – 30.5 24.5 10 31 – 42 30.5 – 42.5 36.5 13 43 – 54 42.5 – 54.5 48.5 8 55 – 66 54.5 – 66.5 60.5 5 67 – 78 66.5 – 78.5 72.5 79 – 90 78.5 – 90.5 84.5 2 The heights of the bars correspond to the frequency values, and the bars are drawn adjacent to each other (without gaps). 24

25
**Solution: Frequency Histogram (using Midpoints)**

* Notice the use of class boundaries to label the left and right sides of each rectangle. * It is often more practical to use class midpoint values instead of the class boundaries. * Both axes should be clearly labeled. 25

26
**Solution: Frequency Histogram (using class boundaries)**

You can see that more than half of the subscribers spent between 19 and 54 minutes on the Internet during their most recent session. 26

27
**Graphs of Frequency Distributions**

Frequency Polygon A line graph that emphasizes the continuous change in frequencies. The line segments are extended to the right and left so that the graph begins and ends on the x-axis. data values frequency 27

28
**Example: Frequency Polygon**

Construct a frequency polygon for the Internet usage frequency distribution. Class Midpoint Frequency, f 7 – 18 12.5 6 19 – 30 24.5 10 31 – 42 36.5 13 43 – 54 48.5 8 55 – 66 60.5 5 67 – 78 72.5 79 – 90 84.5 2 28

29
**Solution: Frequency Polygon**

The graph should begin and end on the horizontal axis, so extend the left side to one class width before the first class midpoint and extend the right side to one class width after the last class midpoint. * The points are at the same heights as the bars of the histogram and are connected. The line segments are extended to the right and left so that the graph begins and ends on the x-axis. * Notice the use of midpoints on the horizontal axis. You can see that the frequency of subscribers increases up to 36.5 minutes and then decreases. 29

30
**Graphs of Frequency Distributions**

Relative Frequency Histogram Has the same shape and the same horizontal scale as the corresponding frequency histogram. The vertical scale measures the relative frequencies, not frequencies. data values relative frequency Instead of frequency for the vertical axis, percentages are used. 30

31
**Example: Relative Frequency Histogram**

Construct a relative frequency histogram for the Internet usage frequency distribution. Class Class boundaries Frequency, f Relative frequency 7 – 18 6.5 – 18.5 6 0.12 19 – 30 18.5 – 30.5 10 0.20 31 – 42 30.5 – 42.5 13 0.26 43 – 54 42.5 – 54.5 8 0.16 55 – 66 54.5 – 66.5 5 0.10 67 – 78 66.5 – 78.5 79 – 90 78.5 – 90.5 2 0.04 31

32
**Solution: Relative Frequency Histogram**

A histogram and relative frequency histogram will have the same shape. From this graph you can see that 20% of Internet subscribers spent between 18.5 minutes and 30.5 minutes online. 32

33
**Graphs of Frequency Distributions**

Cumulative Frequency Graph or Ogive A line graph that displays the cumulative frequency of each class at its upper class boundary. The upper boundaries are marked on the horizontal axis. The cumulative frequencies are marked on the vertical axis. Ogives are useful for determining the number of values less than some particular class boundary. data values cumulative frequency 33

34
Constructing an Ogive Construct a frequency distribution that includes cumulative frequencies as one of the columns. Specify the horizontal and vertical scales. The horizontal scale consists of the upper class boundaries. The vertical scale measures cumulative frequencies. Plot points that represent the upper class boundaries and their corresponding cumulative frequencies. 34

35
**Constructing an Ogive Connect the points in order from left to right.**

The graph should start at the lower boundary of the first class (cumulative frequency is zero) and should end at the upper boundary of the last class (cumulative frequency is equal to the sample size). 35

36
Example: Ogive Construct an ogive for the Internet usage frequency distribution. Class Class boundaries Frequency, f Cumulative frequency 7 – 18 6.5 – 18.5 6 19 – 30 18.5 – 30.5 10 16 31 – 42 30.5 – 42.5 13 29 43 – 54 42.5 – 54.5 8 37 55 – 66 54.5 – 66.5 5 42 67 – 78 66.5 – 78.5 48 79 – 90 78.5 – 90.5 2 50 36

37
Solution: Ogive * The points are the frequency values of each class in a cumulative frequency table. * Notice the use of boundaries on the horizontal scale and that the graph begins with the lower boundary of the first class and ends with the upper boundary of the last class. * Ogives are useful for determining the number of values less than some particular class boundary. From the ogive, you can see that about 40 subscribers spent 60 minutes or less online during their last session. The greatest increase in usage occurs between 30.5 minutes and 42.5 minutes. 37

38
Practice Questions Q. (2.1) The average quantitative GRE scores for the top 30 graduate schools of engineering are listed below. Construct a frequency distribution with six classes. 767 770 761 760 771 768 776 756 763 747 766 754 778 762 780 750 746 764 769 759 757 753 758 The answers of these practice questions are in chapter 2 practice questions slides. 38

39
Practice Questions Q. (2.2) The ages of the signers of the Declaration of Independence are shown below (age is approximate since only the birth year appeared in the source and one has been omitted since his birth year is unknown). Construct a frequency distribution for the data using seven classes. 41 54 47 40 39 35 50 37 49 42 70 32 44 52 30 34 69 45 33 63 60 27 38 36 43 48 46 31 55 62 53 39

40
Practice Questions Q. (2.3) For 108 randomly selected college applicants, the following frequency distribution for entrance exam scores was obtained. Construct a histogram, frequency polygon, and ogive for the data. Class limits 126 – 134 9 28 117 – 125 43 108 – 116 22 99 – 107 6 90 – 98 Frequency 40

41
Practice Questions Q. (2.4) The number of calories per serving for selected ready – to - eat cereals is listed here. Construct a frequency distribution using seven classes. Draw a histogram, frequency polygon, and ogive for the data, using relative frequencies. Describe the shape of the histogram. 130 190 140 80 100 120 220 110 210 90 200 180 260 270 160 240 115 225 41

42
**Section 2.1 Summary Constructed frequency distributions**

Constructed frequency histograms, frequency polygons, relative frequency histograms and ogives 42

Similar presentations

© 2021 SlidePlayer.com Inc.

All rights reserved.

To make this website work, we log user data and share it with processors. To use this website, you must agree to our Privacy Policy, including cookie policy.

Ads by Google