Statistical Definitions and Formulas
Population is the entire group of individuals or objects that are considered.
Sample is a subset of the population whose characteristics are being analyzed with the intent of making a statement about the entire population.
Sample size, n=number of objects or individuals in the sample.
Statistic is a number associated with a sample for the purpose of describing some property of the sample.
When a numerical measurement x is associated with each element of the sample, certain descriptive statistics can be calculated
Sample mean,
=
is a measure of the central tendency of the numbers
Sample variance, ![]()
is a measure of
how widely dispersed are the numbers
.
Sample standard deviation
is a measure of the average difference between the sample
mean
and each of the numbers
. The smaller this is
the more closely clustered are the numbers.
Standard error of the mean,
is a measure of
dispersion we could get if we took many different samples from one population,
calculated the mean of each sample, and then used the sample means as our data
points.
Formulas
Volumes:
·
Volume of a block=![]()
·
Volume of a cylinder=![]()
The radius is half the diameter
·
Volume of a sphere =
The radius is half the diameter
· Density = mass/Volume
In these latter formulas, use the appropriate number of
significant digits of ![]()
sample size = n,
mean,
=
variance,
![]()
standard
deviation
standard
error of the mean,
.
Given two data sets A
and B with means
and
, sample sizes
and
, and standard deviations
and
, the
t-statistic
is 