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Match the concepts with the correct descriptions.
Measures of variability
Positively skewed
Correlation statistics?
Median
Curve smoothing
Mean
Standard deviation
Range?
Attenuated standard deviation
Grouped frequency distribution
Central tendency
Negatively skewed
Descriptive statistics
Mode
Inferential statistics
A.
Involves guessing within the bounds of what is known.?
B.
Graphical displays or common statistics that help to describe
and understand data.
C.
When a distribution has a lot of low scores.
D.
Arithmetic average of a set of scores.?
E.
Scores are grouped into convenient class intervals.?
F.
Help predict human behaviors and reach likely conclusions.?
G.
Distance between the highest and lowest scores in a
distribution.
H.
Middlemost score.
I.
Unbiased estimate.?
J.
Tells what the distribution looks like as scores away from the
middle are explored.
K.
Reveal how strongly two sets of scores are related.?
L.
When a distribution has a lot of high scores.
M.
Most frequently occurring score in a set of scores.?
N.
Gives an idea of what the center or middle of a distribution
looks like.?
O.
Square root of the variance.?
Match the concepts with the correct descriptions.Measures of v.docx

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  • 1. Match the concepts with the correct descriptions. Measures of variability Positively skewed Correlation statistics? Median Curve smoothing Mean Standard deviation Range? Attenuated standard deviation Grouped frequency distribution Central tendency Negatively skewed Descriptive statistics Mode Inferential statistics A. Involves guessing within the bounds of what is known.? B.
  • 2. Graphical displays or common statistics that help to describe and understand data. C. When a distribution has a lot of low scores. D. Arithmetic average of a set of scores.? E. Scores are grouped into convenient class intervals.? F. Help predict human behaviors and reach likely conclusions.? G. Distance between the highest and lowest scores in a distribution. H. Middlemost score. I. Unbiased estimate.? J. Tells what the distribution looks like as scores away from the middle are explored. K. Reveal how strongly two sets of scores are related.? L. When a distribution has a lot of high scores. M. Most frequently occurring score in a set of scores.? N. Gives an idea of what the center or middle of a distribution looks like.? O. Square root of the variance.?