# Behavioral Sciences STAT

Mathematics

## Quiz 4 :

Summarizing Scores With Measures of Variability

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?

Multiple Choice

Answer:

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?

Multiple Choice

Answer:

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

Multiple Choice

Answer:

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

Multiple Choice

Answer:

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

Multiple Choice

Answer:

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

Multiple Choice

Answer:

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

Multiple Choice

Answer:

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

Multiple Choice

Answer:

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

Multiple Choice

Answer:

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

Multiple Choice

Answer:

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

Multiple Choice

Answer: