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Statistics Exam 2024
Mean - ANS-Sum of all scores divided by the number of scores
Median - ANS-Middle score when scores are order (half of scores are above it, half are
below it.
Mode - ANS-The most frequent score
Variance - ANS-variance measures how far each number in the set is from the mean
(average)
Standard deviation - ANS-Average deviation of a value from the mean
Normal distribution - ANS-Bell shaped and symmetrical around the center
Skew - ANS-The symmetry of the distribution
Positive skew - ANS-Scores cluster at the low values with the tail pointing at the high
values
Negative Skew - ANS-Scores cluster at the high values with the tail pointing to low
values
Kurtosis - ANS-The "heaviness" of the tails
Positive Kurtosis - ANS-Heavy tails
Negative Kurtosis - ANS-Light tails
Deviation - ANS-Deviation is the difference between the mean and an actual data point
Sum of squared errors - ANS-Add the squared errors (good measure for overall
variability
Sum of squares, variance, and standard deviation all represent: - ANS-The same thing;
the fit of the mean to the data, the variability in the data, the error
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Statistics Exam 2024.pdf!@@@@@@@@@@@@@@@@@@@@@@@@@@@@############################################################
df!@@@@@@@@@@@@@@@@@@@@@@@@@@@@################################################################################!!!!!!!!!!!
Statistics Exam 2024.pdf!@@@@@@@@@@@@@@@@@@@@@@@@@@@@############################################################
Statistics Exam 2024
Mean - ANS-Sum of all scores divided by the number of scores
Median - ANS-Middle score when scores are order (half of scores are above it, half are
below it.
Mode - ANS-The most frequent score
Variance - ANS-variance measures how far each number in the set is from the mean
(average)
Standard deviation - ANS-Average deviation of a value from the mean
Normal distribution - ANS-Bell shaped and symmetrical around the center
Skew - ANS-The symmetry of the distribution
Positive skew - ANS-Scores cluster at the low values with the tail pointing at the high
values
Negative Skew - ANS-Scores cluster at the high values with the tail pointing to low
values
Kurtosis - ANS-The "heaviness" of the tails
Positive Kurtosis - ANS-Heavy tails
Negative Kurtosis - ANS-Light tails
Deviation - ANS-Deviation is the difference between the mean and an actual data point
Sum of squared errors - ANS-Add the squared errors (good measure for overall
variability
Sum of squares, variance, and standard deviation all represent: - ANS-The same thing;
the fit of the mean to the data, the variability in the data, the error
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Statistics Exam 2024.pdf!@@@@@@@@@@@@@@@@@@@@@@@@@@@@############################################################
