Introduction to Data Analysis (Statistics)

    Requirements:

*Range from 150 to 300 words per    subject

*Integrate theory, research, and/or      professional experience

*Include specific examples and/or      substantiating evidence

*Include in-text citations and references      in APA format (Referenced necessary)

*Stay on topic and address the course      objectives

*Demonstrate proper spelling, grammar,      and scholarly tone

* This assignment requires to contribute 8 substantive post 

Subjects are the following

1. Understand the types of data: qualitative and quantitative.

2. Read the bar, pie, and line charts and analyze information to make decisions.

3. Use Microsoft Excel® pivot tables to create frequency distributions and charts for qualitative data – bar and pie. Interpret information and make decisions.

4. Use Microsoft Excel® to create charts for quantitative data – time-series chart. Interpret information and make decisions.

5. Use Microsoft Excel® pivot tables to create frequency Distributions for quantitative data. Analyze information.

6. Introduction to descriptive statistics.

7. Evaluate and interpret measures of center – mean, median, and mode.

8. Evaluate and interpret measures of variation – range, standard deviation, and variance.