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Exhibit 6-2 in Order to Evaluate a Graduate Program in Counseling, a Counseling

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Exhibit 6-2
In order to evaluate a graduate program in counseling, a decision is made to compare the scores of the recent graduates on the National Counseling Exam (NCC) to the national norms. Therefore, the program decides to compare its current graduates with the all graduates nationally who took the exam. Their scores of the current graduates are as follows:
Exhibit 6-2 In order to evaluate a graduate program in counseling, a decision is made to compare the scores of the recent graduates on the National Counseling Exam (NCC) to the national norms. Therefore, the program decides to compare its current graduates with the all graduates nationally who took the exam. Their scores of the current graduates are as follows:    -Refer to Exhibit 6-2. Draw a frequency distribution.
-Refer to Exhibit 6-2. Draw a frequency distribution.

Understanding the basic concepts and vocabulary of descriptive statistics.
Distinguishing between descriptive and inferential statistics.
Recognizing and defining the types of variables in statistical studies.
Computing and understanding relative frequencies.

Definitions:

Type II Error

The error made in statistical testing when a false null hypothesis is not rejected.

Null Hypothesis

A default hypothesis that there is no significant difference or relationship between specified populations or phenomena, used as a starting point for statistical testing.

Incorrect Decision

A decision based on data analysis or hypothesis testing that incorrectly accepts the null hypothesis or wrongly rejects it, leading to a Type I or Type II error.

Type II Error

The error that occurs when a statistical test fails to reject a false null hypothesis; also known as a "false negative."

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