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- StudyBlue
- New-jersey
- Rutgers University - New Brunswick/Piscataway
- Psychology
- Psychology 200
- Meng Li
- Chapter 4

Paul S.

biased statistic

a statistic that, on average, consistently tends to overestimate (or underestimate) the corresponding population parameter

degrees of freedom

the number of scores in a sample that are independent and free to vary with no restriction. Equal to n – 1.

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deviation score

the distance (and direction) from the mean to a specific score. Equal to X – μ

first quartile

the score that separates the lowest 25% of a distribution from the highest 75%

interquartile range

the distance from the first quartile to the third quartile

population standard deviation

the square root of the population variance; a measure of the standard distance from the mean

population variance

the average squared distance from the mean; the mean of the squared deviations

range

the distance from the upper

real limit of the highest score to the lower real limit of the lowest

score; the total distance from the absolute highest point to the lowest

point in the distribution

real limit of the highest score to the lower real limit of the lowest

score; the total distance from the absolute highest point to the lowest

point in the distribution

sample standard deviation

the square root of the sample variance

sample variance

the sum of the squared deviations divided by df = n – 1. an unbiased estimate of the population variance

semi-interquartile range

half the interquartile range

sum of squares

the sum of the squared deviation scores

third quartile

the score that separates the lowest 75% of a distribution from the highest 25%

unbiased statistic

a statistic that, on average,

provides an accurate estimate of the corresponding population

parameter. The sample mean and sample variance are unbiased statistics.

provides an accurate estimate of the corresponding population

parameter. The sample mean and sample variance are unbiased statistics.

variability

a measure of the degree to which the scores in a distribution are clustered together or spread apart

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