Course Goals

Student Learning Goals

Our course will focus on four overall learning goals. These goals can also be found in the calendar on the essentials section. In Math 110 you learn to read and understand statistical information in the world around us, and you will learn to make decisions based on data.

Goal 1: Descriptive Statistics: Unit 2 Modules 4-7

This goal will focus on graphs and the most common calculations about data. Here you are looking to make simple descriptions of data.

Goal 2: Relationships among data with two (or more) variables. Unit 3 and 4, Modules 8-10

Our second goal now introduces studying two variables at the same time. We will see the difference in studying data that is numerical compared to non-numerical data (categories).

Goal 3: Statistical Studies Unit 6, Modules 13-15

We pause on calculations and consider how we produce data.

Goal 4: Statistical Inference Units 7-11 Modules 16-27

This is by far the largest goal! Here we want to use our combined knowledge to make decisions/conclusions about data supported by probabilities.

Student Learning Objectives (official)

When you successfully complete Math 110, you will be able to do the following:

1. Interpret descriptive statistics and know proper sampling techniques.

2. Apply discrete and continuous probabilities to real-world situations.

3. Apply inferential statistics, such as confidence intervals, hypothesis testing, and linear regression, to make decisions about data.

Course Description

The use of probability techniques, hypothesis testing, and predictive techniques to facilitate decision-making. An introduction to the mathematics involved in the statistical formulas. 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 the interpretation of the relevance of the statistical findings. Applications using data from disciplines including business, life science, physical science, health science, education, social sciences, and psychology.