MATH& 146 - Introduction to Statistics

5 Credits

Descriptive methods; basic statistical vocabulary and symbols; sampling techniques; probability and probability distributions; and inferential methods including confidence intervals and hypothesis testing emphasizing applications to social science and nursing.

Pre-requisite(s) MATH 91 or MATH 87 with min 2.0
Placement Eligibility Math 107, 111, 146, 180, 98
Course Note Graphing Calculator Required; TI-84 recommended
Fees

Quarters Typically Offered
Summer Day, Evening, Online
Fall Day, Evening, Online
Winter Day, Evening, Online
Spring Day, Evening, Online

Designed to Serve Students of all interests requiring an introductory statistics course, including social science, business, and nursing majors.
Active Date 20250520T14:13:27

Grading Basis Decimal Grade
Class Limit 32
Shared Learning Environment Yes
Contact Hours: Lecture 55
Total Contact Hours 55
Degree Distributions:
AA

Quantitative Skills
Science

ProfTech Related Instruction

Computation

Course Outline

Nature of statistics
Sampling techniques
Descriptive statistics
Elements of probability
Inferential statistics: probability distributions, confidence intervals, hypothesis testing (may include population proportions, chi-square distributions)
Correlation and regression

Student Learning Outcomes
Communicate effectively, in written and verbal form, using basic statistical vocabulary and symbols.

Identify and explain appropriate experimental design and sampling techniques for statistical studies.

Organize, summarize, represent, and interpret data, using technology where appropriate.

Create and evaluate the suitability of linear models for a data set, and interpret its meaning in everyday language.

Compute empirical and theoretical probabilities represented in words, symbols, contingency tables, and probability distributions.

Apply statistical methods to make inferences about population parameters based on sample statistics (e.g., confidence intervals, hypothesis testing).