MATH& 146 - Introduction to Statistics

5 Credits
This course is an introduction to statistics and how it may be applied in the analysis of numerical data. It includes the following topics: structure of data sets, central tendency, dispersion, means, standard deviation, correlation, and regression, binomial and normal probability distributions, sampling methods, confidence intervals and hypothesis testing.

General education distribution area: Quantitative / Symbolic Reasoning.

Prerequisite(s): Completion of MATH 095 , AMATH 190 , or AMATH 195 with a 2.0 or higher, or placement by assessment.

Course Outcomes

Construct graphical displays for a quantitative and categorical data.
Compute and compare summary statistics for different data sets and determine percentiles.
Construct two-way tables and determine marginal, joint, and conditional proportions.
Determine data proportions and percentiles for normally distributed data.
Construct and interpret graphical displays for bivariate quantitative variables.
Model bivariate quantitative date and determine if model is appropriate.
Use terms and concepts related to sample surveys, experiments, and observational studies.
Calculate probabilities of independent/dependent compound events.
Construct two-way tables and determine marginal, joint, and conditional probabilities.
Determine independence between two categorical variables.
Compute expected value and standard deviations of a random variable.
Determine sampling distributions for sample proportions and sample means.
Construct and interpret confidence intervals.
Perform hypothesis tests.
Communicate using mathematical notation and language.