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Statistics Test

Enter the letter for the matching Answer
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1.
the sum of x sub i - x bar =
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2.
horizontal line in the middle of the IQR box represents :
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3.
IQR:
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4.
______________identifies a point below which a specific percentage of cases fall
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5.
sigma of x-sub-I =
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6.
measures of central tendency such as ________________________________ summarize a distribution of scores by describing the most common, the middle score, or the average score of the distribution
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7.
range:
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8.
the mean and median will have the same value only in distributions that are ________________-
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9.
This principle underlies the fact that the mean is closer to all of the scores than the other measures of central tendency
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10.
If you scored higher than the 3rd quartile (Q3) then you made __________________________
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11.
limitations to mean:
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12.
if you have some extremely high outliers, what will happen to the distribution curve?
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13.
what does least square principle say?
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14.
D1 or the first decile is the point below which ______________ of the cases fall
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15.
three traits a good measure of dispersion should include:
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16.
distributions with outliers have a ___________:
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17.
three characteristics of the mean:
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18.
if mean < median, what would you expect your distribution curve to look like?
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19.
formula for mean (x bar)=
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20.
if you have some extremely low outliers, what will happen to the distribution curve?
A.
distance between highest and lowest scores in distribution (high score-low score)
B.
10%
C.
least squares principle
D.
mean is pt around which variation of score is minimized; if difference b/t scores and mean are squared and then added, the resultant sum will be less than the sum of the squared differences b/t the scores and any other point in the distribution
E.
the distance from the third to 1st quartile; a kind of range that acoids some of the problems associated with range outliers by considering only the middle 50% of the cases in distribution
F.
0
G.
above 75% of the scores
H.
it will skew to the right (+) = (mean>median)
I.
1. the mean balances out all scores (mean is pt around which all scores cancel out); 2. mean minimizes variation of scores (least squares principle); 3. mean affected by all scores and can be misleading if distribution has extreme outliers
J.
median
K.
it will skew to the L (-) = mean< median
L.
percentile
M.
should use all the scores in the dist; should describe the average or typical deviation of the scores; increase in value as the scores become more diverse
N.
the sum of all data points
O.
skewed to the left (- skew)
P.
skew
Q.
mode, median, and mean
R.
outliers (extreme values) skew the mean
S.
symmetrical
T.
the sum of (xi) / N
Type the Answer that corresponds to the displayed Question.
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21.
the greater the value of a range the greater the _______________ in the distribution
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22.
median can be found for _______________ data, but generally it more appropriate for ______________ data.
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23.
the mean will be pulled _______________ of the outlying scores relative to the median
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24.
most commonly used measure of central tendency
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25.
the sum of squared deviations will _______________ with sample size
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26.
central purpose of descriptive statistics is to __________________ data
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27.
the standard deviation is ____________ for more diverse distributions and ______________ for less diverse distributions
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28.
the greater the skew, the ______________ the difference between the 2 measures of central tendency (mean & median)
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29.
_____________ describe the variety, diversity, or heterogeneity of a distribution of scores; describes the variability of data (variants.)
Type the Question that corresponds to the displayed Answer.
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30.
range might exaggerate the amount of dispersion for most of scores in distribution

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Created by: aereal