Chapter Three
description
Transcript of Chapter Three
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website for classroom use.
Chapter Three
Frequency Distributions and
Percentiles
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website for classroom use.
Raw Scores (Data)
• Dr. Peabody gave a statistics exam to students in his Introduction to Statistics course:
• 55, 57.5, 65, 67.5, 67.5, 72.5, 75, 75, 75, 77.5, 77.5, 77.5, 77.5, 82.5, 82.5, 82.5, 82.5, 82.5, 82.5, 85, 85, 85, 85, 85, 85, 85, 87.5, 87.5, 87.5, 87.5, 87.5, 87.5, 87.5, 87.5, 87.5, 87.5, 87.5, 87.5, 87.5, 87.5, 87.5, 87.5, 92.5, 92.5, 95, 95, 95, 97.5
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website for classroom use.
Chapter 3 - 3
New Statistical Notation
• The number of times a score occurs is the score’s frequency, which is symbolized by f
• A distribution is the general name for any organized set of data
• N is the total number of scores in the data
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Chapter 3 - 4
SimpleFrequency Distributions
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Chapter 3 - 5
Simple Frequency Distribution
• A simple frequency distribution shows the number of times each score occurs in a set of data
• The symbol for a score’s simple frequency is simply f
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Chapter 3 - 6
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13 10 12 13 14 13
14 15 17 14 14 15
Raw Scores
• Following is a data set of raw scores. We will use these raw scores to construct a simple frequency distribution table.
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Chapter 3 - 7
Simple FrequencyDistribution Table
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Chapter 3 - 8
Graphing a SimpleFrequency Distribution
• A frequency distribution graph shows the scores on the X axis and their frequency on the Y axis
• The type of measurement scale (nominal, ordinal, interval, or ratio) determines whether we use– A bar graph– A histogram– A polygon
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Chapter 3 - 9
A Simple Frequency Bar Graph Is Used for Nominal and Ordinal Data
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Chapter 3 - 10
A Histogram Is Used for a Small Range of Different Interval or Ratio Scores
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Chapter 3 - 11
A Frequency Polygon Is Used for a Large Number of Different Scores
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Chapter 3 - 12
Types of Simple Frequency Distributions
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Chapter 3 - 13
The Normal Distribution
• A bell-shaped curve
• Called the normal curve or a normal distribution
• It is symmetrical
• The far left and right portions containing the low-frequency extreme scores are called the tails of the distribution
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Chapter 3 - 14
An Ideal Normal Distribution
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Chapter 3 - 15
Skewed Distributions
• A skewed distribution is not symmetrical as it has only one pronounced tail
• A distribution may be either negatively skewed or positively skewed
• Whether a skewed distribution is negative or positive corresponds to whether the distinct tail slopes toward or away from zero
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Chapter 3 - 16
Negatively Skewed Distribution
A negatively
skewed distribution
contains extreme
low scores that have a
low frequency, but
does not contain low
frequency extreme high
scores
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Chapter 3 - 17
Positively Skewed Distribution
A positively
skewed distribution
contains extreme
high scores that have a
low frequency, but
does not contain low
frequency extreme low
scores
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Chapter 3 - 18
Bimodal Distribution
A bimodal
distribution is a
symmetrical
distribution
containing two
distinct humps
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Chapter 3 - 19
Rectangular Distribution
A rectangular
distribution is a
symmetrical
distribution shaped
like a rectangle
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Chapter 3 - 20
Relative Frequency and the Normal Curve
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Chapter 3 - 21
N
frel. f
Relative Frequency
• Relative frequency is the proportion of time the score occurs
• The symbol for relative frequency is
rel. f
• The formula for a score’s relative frequency is
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Chapter 3 - 22
A RelativeFrequency Distribution
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Chapter 3 - 23
The proportion of the total area under the normal curve that is occupied by a group of scores corresponds to the combined relative frequency of those scores.
Finding Relative Frequency Using the Normal Curve
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Chapter 3 - 24
Computing CumulativeFrequency and Percentile
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Chapter 3 - 25
Cumulative Frequency
• Cumulative frequency is the frequency of all scores at or below a particular score
• The symbol for cumulative frequency is cf
• To compute a score’s cumulative frequency, we add the simple frequencies for all scores below the score with the frequency for the score
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Chapter 3 - 26
A Cumulative Frequency Distribution
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Chapter 3 - 27
Percentile
• A percentile is the percent of all scores in the data that are at or below the score
• If the scores cumulative frequency is known, the formula for finding the percentile is
Score’s Percentile = 100
N
cf
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Chapter 3 - 28
Finding Percentiles
The percentile for a given score corresponds
to the percent of the total area under the
curve that is to the left of the score.
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Chapter 3 - 29
Percentiles
Normal distribution showing the area under the curve to the left of selected scores.
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Chapter 3 - 30
Grouped FrequencyDistributions
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Chapter 3 - 31
Grouped Distributions
In a grouped distribution, scores are combined to form small groups, and then we report the total f, rel. f, or cf of each group
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Chapter 3 - 32
A Grouped Distribution
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Chapter 3 - 33
14 14 13 15 11 15
13 10 12 13 14 13
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Example 1
• Using the following data set, find the relative frequency of the score 12
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Chapter 3 - 34
Example 1
• The simple frequency table for this set of data is as follows.
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Chapter 3 - 35
06.018
1.
N
ffrel
Example 1
• The frequency for the score of 12 is 1. N = 18.
• Therefore, the rel. f of 12 is
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Chapter 3 - 36
Example 2
• What is the cumulative frequency for the score of 14?
• Answer: The cumulative frequency of 14 is the frequency of all scores at or below 14 in this data set
• cf = 1 + 1 + 1 + 4 + 6 = 13
• The cf for the score of 14 in this data set is 13
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Chapter 3 - 37
72.018
13
N
cf
Example 3
• What is the percentile for the score of 14?
• Answer: The percentile of 14 is the percentage of all scores at or below 14 in this data set
0.056 + 0.056 + 0.056 + 0.222 + 0.333 = 0.72
• Another way to calculate this percentile is
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Key Terms
• bar graph• bimodal distribution• cumulative frequency• distribution• frequency• frequency polygon• grouped distribution• histogram
Chapter 3 - 38
• negatively skewed distribution
• normal curve• normal distribution• percentile• positively skewed
distribution• proportion of the
total area under the curve
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website for classroom use.
Key Terms (Cont’d)
Chapter 3 - 39
• rectangular distribution
• relative frequency• relative frequency
distribution• simple frequency
• simple frequency distribution
• tail• ungrouped
distribution