## [solution]: Section 2 STAT 330: Mathematical Statistics Winter

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Below are technical terms that describe foundational concepts in quantitative methodology:

• Generalizability
• Type I error
• Type II error
• Statistical power
• Hypothesis
• Purposeful sample
• Simple random sample
• Stratified random sample
• Cluster sample
• Statistical significance
• Independent variable
• Dependent variable
• Intervening variable

For each term, provide a written definition for each term expressed in your words, but supported by citation(s). Also, provide a brief description of why the concept represented by the term is important in research design (again, cite one or more sources). Please do NOT copy the brief definitions from the back of the Salkind text.

Next, address the following prompts, in writing:

1. Compare and contrast the concepts of Type I error, Type II error, and statistical power. Which of the two types of error is the most serious, and why?
2. Compare and contrast the following sampling types:
1. Purposeful
2. Simple random
3. Stratified random
4. Cluster
3. Compare and contrast independent, dependent, and intervening variables.

Submit an approximately 10 page written paper, to include both the definitions and the comparison contrast responses. Include a list of references at the end. The written report should conform to EITHER the most recent publication style of the American Psychological Association (APA) or the most recent version of the Chicago Manual of Style, which includes references as footnotes (each student may choose which style to follow). The assignment will be due on the final date of Unit 1 as indicated by the College of Liberal Studies timeline, unless the instructor specifically indicates a different date.

1

Economics

Name

Institution

Professor

Course

Date

2

Generalizability

Generalizability is a measurable structure for conceptualizing, exploring, and outlining...

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