| Software Output Raw
data from previous example
Descriptive
Statistics
| Variable:
Age |
|
|
|
|
|
|
|
|
|
|
|
| Count |
7 |
|
Pop Var |
215.6327 |
B |
| Sum |
310 |
|
Sam Var |
251.5714 |
|
| Mean |
44.2857 |
|
Pop Std |
14.6844 |
|
| Median |
42 |
|
Sam Std |
15.861 |
|
| Min |
24 |
|
Std Error |
5.9949 |
|
| Max |
65 |
|
CV% |
35.8152 |
C |
| Range |
41 |
|
95% CI (+/-) |
14.669 |
D |
| Skewness |
0.0871 |
A |
One sample t-test (P< |
0.0003 |
E |
A
Skewness provides an indication of the how
asymmetric the distribution is for a given sample. A
negative value indicates a negative skew. Values
greater than 1 or less than -1 indicate a non-normal distribution.
B Population variance and standard deviation
(Std) will always be less than sample variance and standard deviation, since you are
dividing the sum of squares by n instead of n-1.
C Coefficient of Variation (CV) is the ratio of
the sample standard deviation to the sample mean: (sample standard deviation/sample
mean)*100 to calcuate CV%. It is used as a
measure of relative variability, CV is not affected by the units of a variable.
D Add and subtract this
value to the mean to create a 95% confidence interval.
E This represents the results of a one-sample
t-test that compares the sample mean to a hypothesized population value of 0 years of age.
In this example, the sample mean age of 44 is statistically significantly different from
zero.
|
