chapter 2 frequency distributions and graphs. 2-1introduction 2-2organizing data 2-3histograms,...
TRANSCRIPT
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CHAPTER 2CHAPTER 2
Frequency Frequency Distributions and Distributions and
GraphsGraphs
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• 2-1 Introduction• 2-2 Organizing Data• 2-3 Histograms, Frequency
Polygons, and Ogives• 2-4 Other Types of Graphs
Outline
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• Organize data using frequency distributions.
• Represent data in frequency distributions graphically using histograms, frequency polygons, and ogives.
• Represent data using Pareto charts, time series graphs, and pie graphs.
Objectives
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2-1 Introduction
• In a statistical study, data organization and presentation are very important for better understanding and interpretation.
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2-2 Organizing Data
• When data are collected in original form, they are called raw data.
• When the raw data is organized into a frequency distribution, the frequency will be the number of values in a specific class of the distribution.
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• A frequency distribution is the organization of raw data in table form, using classes and frequencies.
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2-2 Types of Frequency Distribution
• There are three major type of frequency distribution:i) Categorical Frequency Distributionii) Ungrouped Frequency Distribution
iii) Grouped frequency Distribution
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Categorical Frequency Distribution
• Categorical frequency distribution is used for data that can be categorized into specific group according to its attributes.
• Example: Gender, blood type, major field of study, religious affiliation, etc.
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Class Frequency
A 5
B 7
AB 9
O 4
Total 25
Example of Categorical Frequency Distribution
Blood Type
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Ungrouped Frequency Distribution
• Ungrouped frequency distribution is used for data that can be counted or measured, however the data range is not wide.
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Class Frequency
0 5
1 10
2 7
3 4
Total 26
Example of Ungrouped Frequency Distribution
Number of children in a family
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Grouped Frequency Distribution
• Grouped frequency distribution is used for data that can be counted or measured.
• The range of values in the data set is very large. The data must be grouped into classes that are more than one unit in width.
• Example: Traveling time in mins, body length in cm, life of boat batteries in hrs, etc.
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Example of Grouped Frequency Distribution
Lifetimes of Boat Batteries
Class limits Class boundaries
Frequency Cumulative frequency
24-30 23.5-30.5 3 3
31-37 30.5-37.5 1 4
38-44 37.5-44.5 5 9
45-51 44.5-51.5 9 18
Data are classified in a range of values
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2-2 Associated Terms for Grouped Frequency Distribution
Class Limits
Class Boundaries
Class Width
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Class Limits
Class limits represent the smallest and largest data values that can be included in a class.
Upper class limits The largest value in a class
Lower class limits The smallest value in a class
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Class Limits
26-3031-3536-40
Can you identify the upper and lower class limits for all the classes shown above?
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Class Boundaries
Class boundaries used to separate the classes so that there are no gaps in the frequency distribution.
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How to find class boundaries?
Lower class boundary = (Lower class limit of a class + Upper class limit of the previous class)/2
Upper class boundary = (Upper class limit of a class + Lower class limit of the subsequent class)/2
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Class Limits
Class 1: 11-15Class 2: 16-20Class 3: 21-25
What is the lower class boundary for class 2?
What is the upper class boundary for class 2?
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Class Width
Class width represents the size of a class.
Class width can be calculated by subtracting the upper class boundary from lower class boundary of the same class.
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4.5 5 - 9 9.5
Lower class limit Upper class limit
Class
Lower class boundary
Upper class boundary
Class width
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2-2 Guidelines for Constructing a Frequency Distribution
1. The classes must be mutually exclusive
Age
11-20
21-30
31-40
41-50
Mutually exclusive
- No overlapping in class limits
so that data can only be
placed in one class.
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2. The classes must be continuous.
Age
10-20
21-31
32-42
43-53
Continuous
- There is no gap between
different classes.
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3. There should be between 5 and 20 classes.
4. The classes must be equal in width.
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2-2 Procedures for Constructing a Grouped Frequency Distribution
Find the highest and lowest value.
Find the range (Highest - Lowest).
Select the number of classes desired.
Find the width by dividing the range by the
number of classes and rounding up.
Step 1
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Select a starting point (usually the lowest value); add the width to get the lower limits.
Find the upper class limits.
Find the boundaries.
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Tally the data.
Step 2
Find the frequency.
Step 3
Find the cumulative frequency.
Step 4
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2-2 Example for Grouped Frequency Distribution
A book store recorded the number of books sold on 20 consecutive Fridays. Construct a grouped frequency distribution for these
10 8 6 14
22 13 17 19
11 9 18 14
13 12 15 15
5 11 16 11
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STEP 1: Find the highest and lowest values H = 22 and L = 5
STEP 2: Find the range Range = 22 – 5 = 17
STEP 3: Select the number of classes desired. In this case it is equal to 6.
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STEP 4: Find the class width by dividing the range by the number of classes. Width = 17/6 = 2.83. This value is rounded up to 3.
STEP 5: Select a starting point for the lowest class limit. In this case, 5 was chosen as it is the smallest data value. The lower class limits will be 5, 8, 11, 14,
17, and 20.
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STEP 6: The upper class limits will be 7, 10, 13, 16, 19, and 22. For example, the upper limit for the first class is 7.
STEP 7: Find the class boundaries by subtracting 0.5 from each lower class limit and adding 0.5 to the upper class limit.
STEP 8: Tally the data, write the numerical values for the tallies in the frequency column, and find
the cumulative frequencies.
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Class Limits Class Boundaries
Frequency Cumulative Frequency
5 – 7 4.5 – 7.5 2 2
8 – 10 7.5 – 10.5 3 5
11 – 13 10.5 – 13.5 6 11
14 – 16 13.5 – 16.5 5 16
17 – 19 16.5 – 19.5 3 19
20 - 22 19.5 – 22.5 1 20
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2-3 Histograms, Frequency Polygons, and Ogives
Three most commonly used graphs in research are:
Histogram. Frequency polygon. Cumulative frequency graph, or ogive.
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Histogram
• Histogram is a graph that displays the data by using contiguous vertical bars of various heights to represent the frequencies of the classes.
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Example of Histogram
Frequency
Class boundaries
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Histogram VS Bar Chart
No gap between the bars
There is a gap between the bars
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Frequency Polygon
• Frequency polygon is the graph that displays the data by using lines that connect points plotted for the frequencies at the midpoints of the classes. The frequency are represented by the heights of the points.
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Example of Frequency Polygon
Frequency Polygon
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How to plot a frequency polygon?
1. Plot a histogram.
2. Mark on the mid-point of each class interval.
3. Join all the mid-points with a straight line.
Mid-point of an interval = ½ (lower CB + upper CB)
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Cumulative Graph / Ogive
• Cumulative graph or ogive is a graph
that represents the cumulative frequencies
for the classes in a frequency distribution.
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Example of Frequency Polygon
Ogive
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How to plot an ogive?
1. Cumulative frequencies are plotted
against the upper class boundaries.
2. The points are joined with a smooth curve.
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Question
10 students were asked to solve a simple problem and the time taken by each was noted. Construct a histogram, frequency polygon, and ogive for this data.
Time (seconds) Frequency
10-19 1
20-29 3
30-39 4
40-49 2
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2-3 Other Types of Graphs
Pareto chart is used to represent a
frequency distribution for a categorical
variable, and the frequencies are displayed
by the heights of vertical bars, which are
arranged in order from highest to lowest.
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Example of Pareto Chart
Bars are arranged from highest to lowest frequency
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• Time series graph represents data that occur over a specific period of time.
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Example of Time Series Chart
Changes in number of
customers over a certain period
of time
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• Pie chart is a circle divided into sections
according to the percentage of frequencies
in each category of the distribution.
• A pie chart should not consist of too many
segments (less than eight is suggested).
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Example of Pie Chart