Statistical procedures that organize and summarize, and describe a set of research data.
A distribution of observed frequencies of occurrence of the values of a variable; indicates how often a particular score or observation occurs.
Average of all the scores in the distribution. Most commonly used measure of central tendency, although accuracy can be distorted by extreme scores.
Outliers (Extreme Scores)
Extremely high or low values in a set of data that can affect the mean and skew distributions.
When a distribution includes extreme scores that are very high. Contain more low scores than high scores; the skew is produced by the unusually high score. Curve at left, tail on right.
When a distribution includes extreme scores that are unusually low and the low scores skew the distribution. Contain a higher number of high scores than low scores. Curve at right, tail on left.
Measures average distance of any score in the distribution from the mean. The higher it is, the more spread out the distribution.
Measure the distance of a score from the mean in units of standard deviation. Scores below the mean are negative and scores above the mean are positive.
Normal Curve (bell curve)
Frequency distribution in which most measurements are centered around the mean and the two sides of the distribution are symmetrical. Theoretical bell-shaped curve for which the area under the curve lying between any two z-scores has been predetermined. 68% of scores fall within one standard deviation, 95% within two standard deviations. and 99% within three.
Measures the relationship between two variables. Positive=presence of one predicts the presence of the other. Negative=presence of one predicts absence of the other. No relationship=none exists.
Measures the strength of a correlation. -1 is a perfect negative and +1 is a perfect positive. 0 denotes weakest.
Line of Best Fit (Regression Line)
Line drawn through the scatter plot that minimizes the distance of all the points from the line. Upward slope=positive correlation. Downward slope=negative.
Determines whether or not the findings of the study can be applied to the larger population.
The probability level which is used to decide if results are statistically significant (not due to chance); The smaller the value, the more statistically significant.