chapter 2 review using graphs/tables/diagrams to show variable relationships understand cumulative...
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Cross-Tabulations Attitude towards Lowering the Drinking Age to 19 MaleFemaleTotal Favor %23%24.5% Neutral %27%25.5% Oppose % Total %TRANSCRIPT
Chapter 2 Review
• Using graphs/tables/diagrams to show variable relationships
• Understand cumulative frequency, percentile rank, and cross-tabulations
• Perform rates of change
Cumulative Frequencies / Percentile Rank
# of Arrests f % cf C%
9-11 1 3.3 30 100
6-8 5 16.6 29 96.5
3-5 8 26.6 24 79.9
0-2 16 53.3 16 53.3
What is the percentile rank for those with 5 arrests?
Cross-Tabulations Attitude towards Lowering the Drinking Age to 19
Male Female Total
Favor 584 765 1349
27% 23% 24.5%
Neutral 498 902 1400
23% 27% 25.5%
Oppose 1082 1667 2749
50% 50% 50%
Total 2164 3334 5498
100% 100% 100%
Rate of Change• Rate of Change =
(100) * (time 2f – time 1f) (time1f)
• Allows us to compare the same population at two points in time.
• Always be aware of the sign. – A negative percent signifies a reduction– A positive percent signifies an increase
Chapter 3Measures of Central Tendency
Measures of Central Tendency
• Three main types– Mode– Median– Mean
• Choice depends upon level of measurement
The Mode• The mode is the most frequently occurring value
in a distribution.• Abbreviated as Mo• Sometimes there is more than one mode • EX: 96, 91, 96, 90, 93, 90, 96, 90• Bimodal• Mode is the only measure of central tendency
appropriate for nominal-level variables
Mode - Example• What is the mode for the following set of
numbers?• 20, 21, 30, 20, 22, 20
• Explains nothing about– Ordering of variables– Variation within variables
• Distributions can be bimodal and/or multimodal– Several categories with same frequencies
The Median• The median is the middle case of a distribution• Abbreviated as Mdn• Appropriate for ordinal data because it only shows
direction and not distance• Used if distribution is skewed• How to find the median?
• If even, there will be two middle cases – interpolate• If odd, choose the middle-most case
• Cases must be ordered
21
N
Position of the Mdn
Example of median: Years in Prison• What is the median?
– odd or even?
• (7+1)/2=4th case• Where is the 4th case?• Sort distribution from lowest to highest
• 1• 5• 2• 9• 13• 11• 4
Example of median with even # of cases
• (8+1)/2=4.5 • Half way between the 4th and
5th case• (2 + 3) / 2 = 2.5• Median = 2.5
• 1• 1• 2• 2• 3• 4• 4• 6
21
N
Position of the Mdn
The Mean• Most popular measure of central tendency• Assumes equality of intervals• Basis of many higher order formulas for
statistical procedures• Use either μ or X depending on whether
population or sample estimate
The Mean• The mean is
appropriate for interval and ratio level variables
NX
X meanX sum
X = raw scores in a set of scoresN = total number of scores in a set
Example: Prison Sentences• What is the mean?• 4.6
• 7.9• 11.4• 2.2
NX
X
53.64
)2.24.119.76.4(
X
yearsX 5.6
The Mean
• What does the mean do?– Center of gravity– Deviation =
(Raw Score – Mean)
X (Raw Score) Deviation
9 +3
8 +2
6 0
5 -1
2 -4
Mean = 6 = (∑X / N)= (30 / 5)
The Weighted Mean• The “mean of the means” – overall mean for a number of groups
• Best used for unequal groups
Example:4, 7, 3, 82, 4, 9, 1, 6, 8
An Illustration: Measures of Central Tendency in a Skewed Distribution
Salary$120,000$60,000$40,000$40,000$30,000$30,000$30,000
Mean = $50,000
Median = $40,000
Mode = $30,000
Comparing the Mode, Median, and Mean• Three factors in choosing a measure of central
tendency1. Level of measurement2. Shape or form of the distribution of data• Skewness• Kurtosis
3. Research Objective
Level of MeasurementLevel of measurement
Mode
Median
Mean
Nominal Yes
Ordinal Yes Yes
Interval Yes Yes Yes
Shape of the Distribution• In symmetrical distribution – mode, median,
and mean have identical values• In skewed data, the measures of central
tendency are different– Skewness relevant only at the interval level
• Mean heavily influenced by extreme outliers – median best measure in this situation
Research Objective• Choice of reported central tendency depends on the
level of precision required.• Most published research requires median and/or
mean calculations.• In skewed data, median more balanced view• For advanced statistical analyses, mean usually
preferred• In large data sets, mean most stable measure
Summary
• Three best known measure of central tendency – mode, median, mode
• Three factors determine appropriateness– Level of measurement– Shape of the distribution– Research objective