MAT-1140 Introduction to Statistics

Credits: 3
In this introductory statistics course, students learn to describe, analyze, and compare both quantitative and qualitative data through calculations and graphical representations. Students gain skills that are essential for those pursuing a wide variety of areas of study. They apply statistical techniques to calculate probabilities for various distributions, including discrete, binomial, and normal distributions. Students also use advanced methods to estimate parameters, confidence intervals, hypotheses tests, and build linear regression models.

Prerequisite(s): Determined by placement methods

Course Outcomes

Interpret quantitative data using graphs and descriptive statistics with emphasis on histograms and boxplots.
Compute measures of expectation and variation for a discrete probability distribution.
Compute probability for a binomial and normal distribution.
Perform calculations to estimate parameters using confidence intervals based on the normal distribution and t-distribution.
Perform hypotheses testing involving a sample mean, proportion, and standard deviation/variance.
Perform hypotheses testing involving two sample means (independent and dependent), two population proportions, and two standard deviations/variances.
Construct linear regression models and correlation coefficients from datasets.