Associate Degree Courses

• Describe statistics.
• Examine the scales of measurement.
• Interpret frequency of distribution.
• Explain the rules for graphing.
• Compare measures of central tendency.
• Summarize standard deviation and variance.
• Explain the binomial probability distribution.
• Describe the characteristics of the normal curve.
• Demonstrate the step-by-step procedure for null testing.
• Identify the sampling distribution of the differences between sample means.
• Illustrate the visualization of ANOVA concepts.
• Summarize the advantages of the two-factor design.
• Compare correlation and causation.
• Demonstrate the chi square goodness-of-fit test.
• Explain the Mann-Whitney U Test.
• Introduce self and explain course expectations.
• Integrate the course concepts through interaction with other Learners and your Mentor.
• Access information efficiently and effectively.
• Evaluate information critically and competently.
• Practices ethical behavior in regard to information and information technology.

Learners will understand major concepts of†&

· Central tendency.
· Variability.
· Independence.
· Binomial Distribution.
· Probability.
· Sampling Distribution.
· Inference.
· Hypothesis testing.
· Analysis of variance.
· Confidence level.
· Multivariate design.
· Regression study.