The extent to which scores in a distribution differ is indicated by _____.
A) measures of central tendency
B) measures of variability
C) the result of subtracting each score from the median
D) the average of the mean and the standard deviation
Correct Answer:
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Q22: The sum of squared deviations from the
Q23: Distributions of scores can have _.
A)identical standard
Q24: The _ is the highest score minus
Q25: The positive square root of the variance
Q26: The interquartile range has been criticized because
Q28: If SS for 30 students is 900,what
Q29: In a normal distribution,the _.
A)mean is usually
Q30: The _ is the difference between the
Q31: Compute the sum of squares for the
Q32: The median _ the sum of the
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