Question

Which of the statements below are correct interpretations of the null standard error?

A. A measure of statistical significance
B. Represents the spread of data
C. Indicates no significant difference
D. Measures the central tendency of a distribution

Answer 1

The null standard error is a measure of statistical significance and indicates no significant difference.

Step-by-step explanation:

The correct interpretations of the null standard error are:

1. A. A measure of statistical significance: The null standard error is used to calculate the margin of error for hypothesis testing, determining if results are statistically significant.
2. C. Indicates no significant difference: A null standard error equal to zero suggests that there is no significant difference between the groups being compared.