Unformatted text preview: EFS %— 6&0/ ASK/77a 161‘ $987; Deﬁnition ’alq Tﬁl‘"
1: q' The number of scores in a sample. or the sample size. The number of scores in a population. or the populatioﬂ
size. An individual score in either a sample or a population. The sample mean. X refers to the individual scores ill the sample.
The population mean. X refers to the individual scolﬁ
in the population. The sample variance. This variance is a biased estilnlle
of the population variance. The sample standard deviation. This standard deviation
the population standard deviation.
unbiased estimate of the population variance. The estimated population standard deviation. This stan-
dard deviation is the formula mom frequently used to
calculate the standard deviation. Unless I indicate otho
The sum of squares. The population variance. X refers to individual scores
in the population. The population standard deviation. X refers to individual
scores in the population. The mean of the theoretical sampling distribution of the
mean. This mean is equal to the population mean. it.
The mean of an empirical sampling distribution of the
mean. ' The standard error of the mean for a sample of size N.
The standard error of the mean is the standard deviation
of the sampling distribution of the mean. The estimated standard error of the mean for a sample
of size N. The standard normal deviate. This formula converts a
normally distributed raw score X to a z score in the
standard normal distribution. The value of :01». obtained with this formula can be used with the standard normal
distribution of Table A-l. A standard score. This formula converts a raw score
into a z score that describes how far above or below the
sample mean the raw score is. : scores obtained using this formula cannot be used with the standard normal
distribution of Table A—l. ‘I'hisformulaeonvertsasamplemeantoazscoreinthe
standardnormaldisuibution. Thevalue afar-obtained withdlisforrmlacanbeusedwiththestandardnorml
distribution of Table A—l. N“ ...
View Full Document