Which of the Following Best Describes the Degrees of Freedom

question 8

Short Answer

Which of the following best describes the degrees of freedom needed in a Chi-squared test for normality? $\begin{array}{|l|l|}\hline \text { A. } & \text { Number of interval s used to test the hypothesis minus } 1 . \\\hline \text { B. } & \text { Number of parameters estimated minus 1. } \\\hline \text { C. } & \begin{array}{l}\text { Number of interval s used to test the hyp othesis minus the number of parameters estimated } \\\text { minus 1. }\end{array} \\\hline \text { D. } & \begin{array}{l}\text { Number of interval s used to test the hypothesis minus the number of parameters estimated } \\\text { minus 2. }\end{array} \\\hline\end{array}$

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Definitions:

Most Frequent

The outcome or value that occurs most often within a data set or sample.

Central Tendency

A single number or value that describes the typical or central score among a set of scores.

Frequency Distribution

A mathematical function that shows the number of occurrences of each value of a variable, often represented in a table or graph.

Median

A measure of central tendency; the middle score in a distribution of scores that divides the distribution in half.