Dec 10, 2023  
2021-22 Catalog 
2021-22 Catalog [ARCHIVED CATALOG]

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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 091 or MATH 087 with min 2.0
Placement Eligibility Math 107, 111, 146, 180, 098
Course Note Graphing Calculator Required; TI-84 recommended

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 20201105T14:51:20

Grading System Decimal Grade
Class Limit 32
Shared Learning Environment Yes
Contact Hours: Lecture 55
Total Contact Hours 55
Degree Distributions:
  • 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).

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