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Measures of Central Tendency
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Measures of Central Tendency
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Measures of Central Tendency
The arithmetic mean is 12 and the number of observations are 20 then the sum of all the values is
8
32
240
1.667
Author:
rikazzz
Comment
Measures of Central Tendency
The type of central tendency measures which divides data set into ten equal parts is classified as
percentiles
multiple pile of data
quartiles
deciles
Author:
rikazzz
Comment
Measures of Central Tendency
The measure of central tendency which represents over time multiplicative effects for inflation and compound interest is considered as
deviation square mean
paired mean
geometric mean
harmonic mean
Author:
rikazzz
Comment
Measures of Central Tendency
If the frequencies widely varies between different classes, then the measure of central tendency must be used is
non-paired arithmetic mean
square of arithmetic mean
weighted arithmetic mean
paired arithmetic mean
Author:
rikazzz
Comment
Measures of Central Tendency
The properties such as variation, central tendency and shape of distribution of frequency are basis to extract information from
extended measures
skewed measure
ordinal measures
descriptive measures
Author:
rikazzz
Comment
Measures of Central Tendency
The value of Σfx is 180, A= 22, and width of class interval is 5, arithmetic mean is 120 then the observations are
59
30
39.5
49.5
Author:
rikazzz
Comment
Measures of Central Tendency
The criteria of inferential statistics which considers the sum of squared deviations is classified as
central squares criterion
outliers square criterion
multiple squares criterion
least squares criterion
Author:
rikazzz
Comment
Measures of Central Tendency
The type of central tendency measures which divides data set into four equal parts is
quartiles
deciles
percentiles
multiple pile of data
Author:
rikazzz
Comment
Measures of Central Tendency
At a manufacturing plant, the unit of quantity manufactured in 8 days are 250, 320, 240, 210, 260, 330, 310, 260
210
260
240
250
Author:
rikazzz
Comment
Measures of Central Tendency
The distribution which has outliers with relatively lower values is considered as
experimentally skewed
exploratory skewed
positively skewed
negatively skewed
Author:
rikazzz
Comment
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