Question

In general, if the observed values and expected values of a goodness-of-fit test are not close together, then the test statistic can get very large and on a graph will be way out in the right tail.

Short answer

The statement is true.

Step-by-step solution

Given Infromation

In general, if the observed values and expected values of a goodness-of-fit test are not close together, then the test statistic can get very large and on a graph will be way out in the right tail.

Explanation

To check whether is statement is true or false:

In general, if the observed values and expected values of a goodness-of-fit test are not close together, then the test statistic can get very large and on a graph will be way out in the right tail.

The test statistic is defined as

${\chi }^2=\sum _{i=1}^n\frac{{\left(O{b}_i-E{x}_i\right)}^2}{E{x}_i}$

Therefore, the statement is true.