610 / 857
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.
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Data Collection & Sampling
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Descriptive Statistics
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Organizing & Summarizing Data
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Numerically Summarizing Data
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Correlation & Regression
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Probability & Probability Distribution
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Probability
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Discrete Probability Distributions
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The Normal Probability Distribution
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Inference: From Samples to Population
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Sampling Distributions
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Eliminating the Value of a Parameter
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Hypothesis Tests Regarding a parameter
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Inferences on Two Samples
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Inference on Categorical Data
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Comparing Three or More Means/ANOVA
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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:
MATH 103 College Algebra
Course Objectives
:
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To develop an understanding of basic probability and statistical concepts.
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To develop an understating of how statistics are relevant in real-life situations and in decision
making processes.
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To teach students how to calculate, use, and interpret statistics correctly so that they may use
this knowledge in their fields of study.
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To teach students how to use statistical technology to solve and interpret problems in
elementary probability and statistics.
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To develop lifelong learning skills; students will learn to learn.
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To improve communication and collaboration with others.
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To become better problem solvers who think creatively to solve novel problems.