# EXAM 2

**Created:**2009-09-29

**Last Modified:**2011-06-28

#### Related Textbooks:

Essentials of Statistics for the Behavioral Scienceo Examples: tables and graphs

o Allows us to determine the shape of the distribution (chpt 2)

• Summarization

o Summarizing the entire data set with just one number

o Allows us to determine central tendencies (chpt 3) and variability (chpt 4)

o Tells whether the distribution is symmetrical or skewed

• Measurement of central tendency:

o One number that summarizes all the measurements of the scores

• Measurement of variability:

o One number that identifies whether the distribution is spread apart or clustered together

between raw scores and the mean)

• σ

^{2}=SS/N and s

^{2}=SS/(n-1)

• A symmetrical distribution has the bulk of the data in the middle and two tails.

• Symmetrical distribution may not be predictable, may have no body, or two bodies

• tails are where the extreme scores are usually found.

• Tail is considered extreme

- Variance

- mode

- mode

- median

- bar graph

- standard deviation

- standard deviation

- histogram

- mean

- mean of sample

- standard deviation of a population

- number of scores in a sample

- means of a population

^{2}

- variance of a population

- standard deviation of a sample

- means of a sample

^{2}

- Variance of a sample

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