Spring 2019 Course Syllabi

MATH 210 – Elementary Statistics 4 credits Instructor: Tracy Chisholm Course Description : An introduction to statistical methods of gathering, presenting and analyzing data. Topics include probability and probability distributions, confidence intervals, hypothesis testing, and linear regression and correlation.  Data Collection & Sampling  Descriptive Statistics o Organizing & Summarizing Data o Numerically Summarizing Data o Correlation & Regression  Probability & Probability Distribution o Probability o Discrete Probability Distributions o The Normal Probability Distribution  Inference: From Samples to Population o Sampling Distributions o Eliminating the Value of a Parameter o Hypothesis Tests Regarding a parameter o Inferences on Two Samples o Inference on Categorical Data o Comparing Three or More Means/ANOVA o Inference on the Least-Squares Regression model and Multiple Regression Technology will be used to enhance learning and mirror statistical applications and practices in the larger world. Prerequisite: ASC 93 Algebra Prep III, placement by math placement test or instructor approval Course Objectives : 1. Students will be able to use statistical methods of gathering, presenting and analyzing data. 2. Students will be able to work with probability and probability distributions and their applications. 3. Students will be able to work with confidence intervals and their applications. 4. Students will be able to work with hypothesis testing. 5. Students will be able to work with linear regression and correlation and its applications. Class Schedule: MTWF 10-10:50am Monday Tuesday Wednesday Thursday Friday NSC 124 NSC 124 NSC 124 NSC 124 10-10:50am 10-10:50am 10-10:50am 10-10:50am