chapter 03 - measures of central tendency and location.pdf
TRANSCRIPT
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β’ Necessary for computing summary statistics
β’ Sums of numerical values
β’ Denoted by the capital Greek letter sigma (Ξ£)
πΏπ
π
π=π
= πΏπ + πΏπ + πΏπ + β―+ πΏπ
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β’ The summation of the sum (or difference) of two or more terms
equals the sum (or difference) of the individual summations
β’ The summation of a constant, c, times a variable, X, equals the
constant times the summation of the variable
β’ The summation of a constant, c, from i = 1 to n, equals the
product of n and c.
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β’ The subscript may be any letter, but the most common are i, j, and k.
β’ The lower limit of the summation may start with any number
β’ The lower limit of the summation is not necessarily a subscript
β’ The sum of the squared values of X is NOT equal to the square of the
sum of X
β’ The summation of the square of (X+Y) is NOT equal to the summation of the sum of X2 and the sum of Y2
β’ The sum of the product of X and Y is NOT equal to the product of the
sum of values of X and the sum of values of Y
β’ The sum of the quotient of X and Y is NOT equal to the quotient of the sum of X and the sum of Y
β’ The sum of the square root of X is not equal to the square root of the
sum of X
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β’ Most common average
β’ Sum of all observed values divided by the number of
observations
β’ For ungrouped and grouped data
β’ Population mean (ΞΌ)
β’ Sample mean ( )
β’ Different formulas for grouped and ungrouped data
π
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β’ Most common measure of central tendency
β’ Uses all observed values
β’ May or may not be an actual value in the data set
β’ May be computed for both grouped and ungrouped data sets
β’ Extreme observations affect the value of the mean
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β’ The sum of the deviations
of the observed values
from the mean is zero.
β’ The sum of the squared
deviations of the
observed values from the
mean is smallest.
πΏπ β πΏ
π
π=π
= π
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β’ The Weighted Mean
β’ There are weights
β’ Values are not of equal
importance
β’ e.g. GWA
β’ The Combined Mean
β’ Mean of several data sets
β’ The Trimmed Mean
β’ Less affected by extreme
observations
β’ Order data
β’ Remove a certain
percentage of the lower
and upper ends
β’ Calculate arithmetic mean
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β’ Middle value in an ordered set of observations
β’ Divides ordered set of observations into two equal parts
β’ Positional middle of an array
β’ Grouped and ungrouped data
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β’ Extreme values affect the median less than the mean
β’ The median is used when
β’ We want the exact middle value of the distribution
β’ There are extreme observed values
β’ FDT has open-ended intervals
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β’ Most frequent observed value in the data set
β’ Small data sets: inspection
β’ Large data sets: array or FDT
β’ Less popular
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β’ Gives the most typical value of a set of observations
β’ Few low or high values do not easily affect the mode
β’ May not be unique and may not exist
β’ Several modes can exist
β’ Value of the mode is always in the data set
β’ May be used for both quantitative and qualitative data sets
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β’ Data is symmetric and unimodal all three measures may be
used
β’ Data is asymmetric use median or mode (if unique); trimmed
mean
β’ Describe shape of data use all three
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Ungrouped Grouped
πΏ = π
π πΏπ
π
π=π
πΏ = πππΏπ
ππ=π
ππππ=π
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Ungrouped
β’ n is odd
β’ n is even
Grouped
ππ = π π+1
2
ππ =
π π
2
+ π π
2+1
2
ππ = πΏπΆπ΅ππ + πΆ
π
2β< πΆπΉππβ1
πππ
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β’ Grouped
ππ = πΏπΆπ΅ππ + πΆ πππ β π1
2πππ β π1 β π2
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Find the MEAN, MEDIAN, and MODE of the ff:
1. A sample survey in a certain province showed the
number of underweight children under five years of
age in each barangay: 3 3 4 4 4 5 5 5 5 6 6 6 7 7
8 8 8 9 9 10
2. Given the frequency distribution table of scores
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β’ Measure of central tendency
β’ Measure of location
β’ Positional middle
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β’ Percentiles
β’ Deciles
β’ Quartiles
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β’ Divide ordered observations into 100 equal parts
β’ 99 percentiles; roughly 1 percent of observations in each group
β’ Interpretation:
P1, the first percentile, is the value below which 1 percent of
the ordered values fall. (ETC.)
β’ Ungrouped data
β’ Empirical Distribution Number with Averaging
β’ Weighted Average Estimate
β’ Grouped data
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β’ Divide the ordered observations into 10 equal parts
β’ Each part has ten percent of the observations
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β’ Divides observations into 4 equal parts
β’ Each part has 25 percent of the observations
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Q3Q1 Q2
P50 P60 P70 P80 P90
D4D3D2D1
P10 P20 P30 P40
D9D8D7D6D5
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Empirical
β’ nk/100 is an integer
β’ nk/100 is not an integer
Weighted Average
ππ =
π ππ
100
+ π ππ
100+1
2
ππ = π ππ
100+1
(π + 1)π
100= π + π
ππ = 1 β π π π + ππ(π+1)
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ππ = πΏπΆπ΅ππ+ πΆ
ππ
100β< πΆπΉππβ1
πππ
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β’ The number of incorrect answers on a true-false exam for a random sample of 20 students was recorded as follows: 2, 1, 3, 2, 3, 2, 1, 3, 0, 1, 3, 6, 0, 3, 3, 5, 2, 1, 4, and 2. Find the 90th percentile, 7th decile, and 1st quartile
β’ Given the frequency distribution of scores of 200 students in an entrance exam in college, find the 95th percentile, 4th decile, and 3rd quartile.
Scores Freq. <CFD LCB UCB
59 β 62 2 2 58.5 62.5
63 β 66 12 14 62.5 66.5
67 β 70 24 38 66.5 70.5
71 β 74 46 84 70.5 74.5
75 β 78 62 146 74.5 78.5
79 β 82 36 182 78.5 82.5
83 β 86 16 198 82.5 86.5
87 β 90 2 200 86.5 90.5