Math 120 - Elementary Statistics
Spring 2018 - Section 33338 (Online)
COURSE CONTENT, OBJECTIVES AND OUTCOMES
Course Catalog Description:
The use of probability techniques, hypothesis testing and predictive techniques to
facilitate decision-making. Topics include descriptive statistics, probability and
sampling distributions, statistical inference, correlation and linear regression, analysis
of variance, chi-square and t-tests, and application of technology for statistical analysis,
including interpretation of the relevance of the statistical findings. Applications using
data from disciplines including business, social sciences, psychology, life science, health
science and education.
Specific Course Objectives:
Distinguish among different scales of measurement and their implications.
Interpret data displayed in tables and in graphs.
Apply concepts of sample space and probability.
Calculate measures of central tendency and variation for a given data set.
Identify the standard methods of obtaining data and identify advantages and
disadvantages of each.
Calculate the mean and variance of a discrete distribution.
Calculate probabilities using normal and t-distributions.
Distinguish between sample and population distributions and analyze the role
played by the Central Limit Theorem.
Construct and interpret confidence intervals.
Determine and interpret levels of statistical significance including p-values.
Interpret the output of a technology-based statistical analysis.
Identify the basic concept of hypothesis testing including Type I and Type II errors.
Formulate hypothesis tests involving samples from one and two populations.
Select the appropriate technique for testing a hypothesis and interpret the results.
Use linear regression and ANOVA analysis for estimation and inference and
interpret the associated statistics.
Using applications from business, social sciences, psychology, life sciences, health
science and education, apply appropriate statistical techniques to draw conclusions.
Student Learning Outcomes:
Upon successful completion of this course, students will be able to compute appropriate
descriptive statistics, choose and apply inferential analyses in order to draw
conclusions about a population, and construct and interpret graphs such as bar charts,
histograms and box plots.