NWCCD 2020-21 Catalog 
    
    Nov 27, 2024  
NWCCD 2020-21 Catalog [This is an Archived Catalog.]

Add to Portfolio (opens a new window)

STAT 2070 - Introductory Statistics for the Social Sciences


This course presents the central ideas of descriptive statistics and statistical inference as applied to the social sciences, including graphs, averages, sampling, estimation, hypothesis-testing and relationships between variables. A statistical software package is introduced. Students cannot receive credit in more than one of the following: STAT 2050, STAT 2070.

Credits: 4

Instructional Method Lecture and Lab

General Education Requirement: Math Reasoning
Comments: This course may be used for the quantitative reasoning requirement at UW.

Prerequisites:
MATH 1400 Pre-Calculus Algebra OR MATH 1000 Problem Solving OR MATH 1450 Pre-Calculus Algebra & Trigonometry OR Math Placement Level V with a C grade or better

Minimum Student Competencies
Upon completion of STAT 2070 Introductory Statistics for the Social Sciences, the student will:

  1. Make inferences about a population based on sampling.
  2. Interpret measures of center and variability with emphasis on social science applications.
  3. Interpret the coefficient of correlation with emphasis on social science applications.
  4. Interpret linear regression from populations or samples.
  5. Predict the probability or likelihood of an event.
  6. Interpret statistical data in graphic formats with emphasis on social science applications. 
  7. Interpret statistical data in tabular formats with emphasis on social science applications. 
  8. Differentiate between discrete and continuous probability distributions applying appropriate statistical techniques.
  9. Apply standard statistical tests for quantitative response variables with emphasis on social science applications. 
  10. Apply standard statistical tests for qualitative response variables with emphasis on social science applications. 
  11. Analyze data and distributions measuring the goodness of inferences and generating samples using statistical software packages with emphasis on social science applications.
  12. Apply the Central Limit Theorem.




Add to Portfolio (opens a new window)