Behavioral Sciences STAT

Measures of variability are used to

The term variability is most opposite to

The greater the variability in a set of scores,

A program evaluator for a large school district wants to know how much intelligence varies in the elementary schools.She selects one classroom at each grade level in each elementary school and administers an intelligence test to the children in those classrooms.In order to find out which school has the most consistent intelligence level, which of the following should she calculate for each school?

A program evaluator for a large school district wants to know how much intelligence varies in the elementary schools.She selects one classroom at each grade level in each elementary school and administers an intelligence test to the children in those classrooms.If the program evaluator wants to find out which school has the highest intelligence level, which of the following should she calculate for each school?

As with measures of centrality, the selection of a measure of variability should be based on

When computing the variance, why do we square the deviations from the mean?

Variance is defined as the

If the variance for a sample is computed and it is found to be rather large, the scores

Standard deviation is defined as the square root of the

If a sample has a small standard deviation, we can say the scores in the sample are

In general, the larger the value of the standard deviation,

The greater the variability, the more spread out the scores are around the

The variance can never be

Suppose we compute $S_{X}$ and find it is equal to 5.5.How do we interpret this number?

If you see the notation $\sum X^{2}$ , you should

If you see the notation $(\Sigma X)^{2}$ , you should

What is wrong with the following formula? $S_{X}^{2}=\sqrt{\frac{\sum X^{2}-\frac{(\Sigma X)^{2}}{N}}{N}}$

A psychology professor wanted to describe the adolescents in her state in terms of the personality characteristic of introversion/ extroversion.She selects a sample and measures their scores on a test of introversion/extroversion.The measure of variability she should calculate is

What do $\left(S_{X}^{2}\right)$ , $\left(s_{X}^{2}\right)$ , and $\left(\sigma_{X}^{2}\right)$ have in common?