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Nov 07, 2024
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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 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 20201105T14:51:20
Grading System 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
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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