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# MAT 161 - Elementary Statistics

Credits: 3
3 Lecture Hours

Prerequisites: MAT 108  or Equivalent

Description
A course for students in programs requiring a knowledge of statistics. Topics may include graphing distributions, measures of central tendency and variability, correlation and regression, probability, hypothesis testing using the z, t and chi square tests.
Learning Outcomes
Upon successful completion of the course, the student will:

1. Summarize and interpret data by descriptive graphical and numerical methods.
2. Describe and test significance of the relationship between two variables using simple linear regression.
3. Use correlation analysis to assess the strength of the linear relationship between two variables.
4. Perform tests of hypotheses involving populations means and proportions.
5. Calculate confidence interval estimates of population means and proportions.
6. Find probabilities of events using the basic properties of probability theory.
Listed Topics
1. Collecting and organizing data
2. Descriptive statistics
3. Normal distribution
4. Confidence intervals
5. Hypothesis testing
6. Correlation & Regression
7. Chi-square Goodness of Fit
8. Probability concepts
Reference Materials
Each student is required to have a calculator and a textbook adopted by the Mathematics Department at the specific campus. If available, students may purchase a student solutions manual or make use of the interactive software and video tapes located in the math laboratory.
Approved By: Bullock, Quintin Date Approved: 05/06/2016

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