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Explain Type I and

Module 4 reflective discussion

Upon successful completion of this module, the student will be able to satisfy the following outcomes:

Discussion

Reflect upon how the course improved your quantitative reasoning.

Discuss how course content applies in personal and professional contexts.

Course Overview

As your study of this course content draws to a close, it is important to step back and reflect on new levels of understanding, skills, and knowledge that you developed as a result of your efforts throughout this course. It is particularly important to reflect on the course outcomes (what you were intended to learn in this course).

Course Outcomes

Identify the meaning of independent and dependent variables (Module 1).

Calculate probabilities and joint probabilities of simple events (Module 1).

Explain the basic logic of probability theory (Module 1).

Calculate the mean, median, and mode from a set of data (Module 2).

Choose the most appropriate measure of central tendency for a particular set of data (Module 2).

Create and interpret information from a box plot (Module 2).

Describe the information provided by the Standard Deviation (Module 3).

Use the Standard Deviation to calculate the percentage of occurrence of a variable either above or below a particular value (Module 3).

Describe a normal distribution as evidenced by a bell-shaped curve (Module 3).

Prepare a distribution table from a set of data (Module 3).

Calculate the variance (Module 3).

Define sampling methods and terminology (Module 4).

Identify situations when sampling is appropriate (Module 4).

Draw the proper inferences about the population after the sample has been evaluated (Module 4).

Describe the process of selecting and evaluating a sample (Module 4).

Explain the effects of a larger sample size in relation to data (Module 4).

Explain Type I and Type II errors (Module 4).

Construct hypotheses (Module 4).

Calculate the test statistic, P-value, and Z score from a set of data (Module 4).

Calculate and explain significance levels (Module 4).

Investigate the use of analysis of variance (ANOVA) and regression (Module 4).

Reflect upon and integrate course concepts (Module 6).

Discussion assignment: Participate in a discussion to reflect upon your progress and discuss how you can apply the course objectives in professional or personal settings.

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