MAT 161 - Elementary Statistics
3 Lecture Hours
Prerequisites: MAT 108 or Equivalent
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.
Upon successful completion of the course, the student will:
- Summarize and interpret data by descriptive graphical and numerical methods.
- Describe and test significance of the relationship between two variables using simple linear regression.
- Use correlation analysis to assess the strength of the linear relationship between two variables.
- Perform tests of hypotheses involving populations means and proportions.
- Calculate confidence interval estimates of population means and proportions.
- Find probabilities of events using the basic properties of probability theory.
- Collecting and organizing data
- Descriptive statistics
- Normal distribution
- Confidence intervals
- Hypothesis testing
- Correlation & Regression
- Chi-square Goodness of Fit
- Probability concepts
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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