Page 239 - Quantitative Data Analysis

Quantitative Data Analysis
Simply Explained Using SPSS

Outlier: A value in a data set that is very different from most other
values in the set or extreme data point.

Population: The set of all possible subjects from which a sample can
be drawn.

Positive relationship exists when one variable increases and other
variable also increases (X increases as Y increases).

Probability: The likelihood of an event happening; must be between
0 and 1.

P-value: The probability of making Type I error.

Random sample: Every item in the population has the equal chance
of being selected for a random sample, with no biasness.

Range is the difference between the highest and lowest score.

Sample: A subset of pollution or a portion from the sample.

Scatter plot is a graph of paired X and Y values.

Standard Deviation: The Square roof of variance, it represents
variations among scores. Standard deviation is the average distance
from the mean score.

Variable is a characteristic which varies between subjects.

Variance is the average squared deviations between the individual
scores and the mean. Higher variance indicates more variability
among scores.

The Theory and Applications of Statistical Inferences 223