Math 160: Basic Statistics

Calendar for Spring/Summer Semester 2017, Section N2
Grading for Math 160
TI-83/84 Support Pages
Chapter topics outline
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Test Selection

The following sectons of this "page" represent the syllabus for this course as of August 20, 2012. The Math 160 course continues to evolve and as it does evolve the syllabus may change.

**Course Syllabus**
Course Number:		Math 160
Course Title:		Basic Statistics
Credit Hours:		4
Prerequisite(s):		Academic Reading and Writing Levels of 6; Academic Math Level 3
Corequisite(s):		None
Contact Hours Per Week:		4
Semester Contact Hours:		60
Catalog Description:		This course provides students with a general understanding of statistical concepts dealing with the processing and interpretation of numerical information. Topics covered include describing a numerical data set, central tendency, variability, probability distributions, inference and hypothesis testing. A graphing calculator is required for this course. See the time schedule for current brand and model..
Textbook:		Elementary Statistics
Author(s):		Navidi/Monk
Publisher:		McGraw/Hill
Edition:		1^st
ISBN:		0077762843
Required Equipment and Supplies:		TI-83/84 family Graphing Calculator TI-83, TI-83 Plus, TI-84 Plus, TI-84 Plus Silver Edition TI-84 Plus C Silver Edition (See Discuss different versions of the calculator)
Required Access		Access to the Internet

Student Learning Outcomes

Interpret common statistical concepts and be critical consumers of statistical information.
Interpret, plan, produce and apply descriptive statistics.
Interpret and apply common discrete and continuous distributions.
Interpret, plan, produce and apply inferential statistics.

Course Objectives
	1. Use standard statistics terminology.
		Matched Outcomes
			1. Interpret common statistical concepts and be critical consumers of statistical information.
	2. Classify variables and types of data.
		Matched Outcomes
			1. Interpret common statistical concepts and be critical consumers of statistical information.
	3. Recognize and critique varied descriptive statistical summaries such as tables, graphs and numerical measures.
		Matched Outcomes
			2. Interpret, plan, produce and apply descriptive statistics.
	4. Tabulate data and prepare varied statistical summaries such as tables, graphs and numerical measures.
		Matched Outcomes
			2. Interpret, plan, produce and apply descriptive statistics.
	5. Solve counting and probability exercises that underlie principles of probability distributions.
		Matched Outcomes
			3. Interpret and apply common discrete and continuous distributions.
	6. Interpret, construct and apply discrete probability distributions including the binomial distribution.
		Matched Outcomes
			3. Interpret and apply common discrete and continuous distributions.
	7. Interpret and apply normal probability distributions.
		Matched Outcomes
			3. Interpret and apply common discrete and continuous distributions.
	8. Summarize attributes of sampling distributions and recognize their connection to the normal distribution.
		Matched Outcomes
			3. Interpret and apply common discrete and continuous distributions.
	9. Interpret, construct and apply confidence intervals and calculate sample sizes.
		Matched Outcomes
			4. Interpret, plan, produce and apply inferential statistics.
	10.Interpret and develop statistical hypotheses for one and two populations.
		Matched Outcomes
			4. Interpret, plan, produce and apply inferential statistics.
	11. Make statistical tests of hypotheses about means and proportions for one and two populations using z and t distributions.
		Matched Outcomes
			4. Interpret, plan, produce and apply inferential statistics.
	12. Interpret and make inferences based upon hypothesis tests.
		Matched Outcomes
			4. Interpret, plan, produce and apply inferential statistics.