PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS
INTRODUCTION TO STATISTICS MATH 2050
Class Hours: 2.0						Credit Hours: 3.0
Laboratory Hours: 2.0						Date Revised: Fall 09
Catalog Course Description:
	Descriptive statistics, including bivariate trends; time series; concepts of probability and probability distributions; binomial and normal distributions; linear correlation and regression; estimation and significance tests for means; contingency tables, chi-square tests for goodness of fit and independence.  A computer laboratory component is required.
Entry Level Standards:
	A thorough knowledge of algebraic functions is necessary for entrance to this course. Students should be able to read on the college level and reason logically.
Prerequisite:
	MATH 1830 or MATH 1910
Textbook(s) and Other Reference Materials Basic to the Course:
	Textbook: Bluman, Allan G., Elementary Statistics, A Step by Step Approach. 7th ed: Boston, Mass., McGraw Hill, 2009 Goffinet, Koehler, Merchant, and Wilson., Microsoft Excel Manual to accompany Elementary Statistics, A Step by Step Approach, Boston, Mass., McGraw Hill, 2009 References: Triola, Mario F.  Elementary Statistics. 9th ed. Redwood City, CA: The Benjamin/Cummings Publishing Company, Inc., 2003. Personal Equipment: According to instructor preference, you are allowed to use a calculator with statistical functions, Excel software, or a combination of the two.
I. Week/Unit/Topic Basis:
	Week				Topic
	1				Statistical applications in business and economics; data; data sources; descriptive statistics; statistical inference and probability; summarizing qualitative data.   Chapters 1 and 2
	2				Summarizing quantitative data; exploratory data analysis; cross-tabulations and scatter diagrams.   Chapter 3
	3				Measures of location; measures of variability; some uses of the mean and the standard deviation; exploratory data analysis; measures of the association between two variables; computing measures of location and dispersion for grouped data.  Chapter 3
	4				Experiments, the sample space, and counting rules. Chapter 4
	5				Assigning probabilities to experimental outcomes; events and their probabilities; some basic relationships of probability; conditional probability; random variables.  Chapter 4
	6				Discrete probability distributions; expected value and variance; the binomial probability distribution; the uniform probability distribution.  Chapter 5
	7				The normal probability distribution; normal approximation of binomial distributions; simple random sampling; point estimation; introduction to sampling distributions.  Chapter 6
	8				Sampling distribution of the sample mean; sampling distribution of the sample proportion; properties of point estimators; other sampling methods.  Chapter 6
	9				Interval estimation of a population proportion and estimation of a population mean, standard deviation known and unknown; determining sample size.  Chapter 7
	10				Developing null and alternative hypothesis; type I and type II errors; Tests about a population mean and proportion. Chapter 8
	11				Tests about differences between the means of two populations, independent samples and matched samples. Tests about the differences in proportions. Chapter 9
	12				Hypothesis tests about population variances and two population variances; Chapter 9 Goodness of fit test for multinomial populations; test of independence using contingency table.  Chapter 11
	13				The simple linear regression model; the least squares method. Chapter 10
	14				Chapter Test and/or review for Final Exam
	15				Final Exam
II. Course Objectives*:
	A.			Demonstrate descriptive methods of statistics, including frequency distribution, measures of central tendency, and measures of variation.  VI.1-5
	B.			Examine bivariate data, cross-tabulations, sorting, graphics, and covariance and correlation. VI.1-5
	C.			Investigate probabilistic concepts. VI.1-5
	D.			Explore sampling and sampling distributions.  VI.1-5
	E.			Master hypothesis testing.  VI.1-5
	F.			Determine and interpret correlation and regression analysis.  VI.1-5
	G.			Perform time series analysis.  VI.1-5
	H.			Apply the most common probability distributions.  VI.1-5
*Roman numerals after course objectives reference TBR’s general education goals.
III. Instructional Processes*:
Students will:
	1.			Use statistical software and/or statistical capabilities of the scientific calculator to analyze real-world problems.  Examples include hypothesis testing and generating descriptive statistics. Mathematics Outcome, Transitional Strategy, Active Learning Strategy
	2.			Work collaboratively on laboratory exercises to explore concepts involving probability. Mathematics Outcome, Technological Literacy Outcome, Active Learning Strategy
	3.			Use critical thinking skills to interpret data, drawing conclusions, and state conclusions in written form.  Mathematics Outcome, Communication Outcome
	4.			Construct charts, tables, and graphs to provide visual descriptions of numerical data. Mathematics Outcome
	5.			Identify and translate real-life data into empirical probability models.  Mathematics Outcome, Information Literacy Outcome, Transitional Strategy, Active Learning Strategy
*Strategies and outcomes listed after instructional processes reference TBR's goals for strengthening general education knowledge and skills, connecting coursework to experiences beyond the classroom, and encouraging students to take active and responsible roles in the educational process.
IV. Expectations for Student Performance*:
Upon successful completion of this course, the student should be able to:
	1.			Construct frequency distributions and frequency histograms. A, D
	2.			Calculate measures of central tendency.  A
	3.			Calculate measures of dispersion.  A
	4.			Construct scatter diagrams.  B
	5.			Calculate correlation coefficients and establish the relative strength of the linear relationships between two variables.  B, D, F
	6.			Construct time series charts and interpret the results.  G
	7.			Calculate probabilities using both the classical and the empirical approaches.  C
	8.			Calculate probabilities based on both the standardized and non-standard normal distributions.  D, H
	9.			Perform hypothesis tests, including, but not restricted to, means testing (both large and small samples), and tests of independence and goodness of fit.  D, E, H
*Letters after performance expectations reference the course objectives listed above.
V. Evaluation:
	A. Testing Procedures:
			Students are evaluated on the basis of tests, and at the teacher’s discretion, quizzes, homework, computer projects, and case studies.  A minimum of four major unit tests and a comprehensive departmental final will be given.  All tests will be administered during scheduled lab times.
	B. Laboratory Expectations:
		At least half of all class meetings take place in the mathematics department computer lab.  A minimum of ten of theses sessions will involve assignments to be turned in and graded, with the lab average making up a minimum of ten percent of the course grade.
	C. Field Work:
		None
	D. Other Evaluation Methods:
		None
	E. Grading Scale:
		93 - 100       A 88 -   92       B+ 83 -   87       B 78 -   82       C+ 70 -   77       C 60 -   69       D Below  60   F
VI. Policies:
	A. Attendance Policy:
		Pellissippi State expects students to attend all scheduled instructional activities. As a minimum, students in all courses (excluding distance learning courses) must be present for at least 75 percent of their scheduled class and laboratory meetings in order to receive credit for the course. Individual departments/programs/disciplines, with the approval of the vice president of Learning, may have requirements that are more stringent. In very specific circumstances, an appeal of the policy may be addressed to the head of the department in which the course was taken. If further action is warranted, the appeal may be addressed to the vice president of Learning.
	B. Academic Dishonesty:
		Academic dishonesty in any form is prohibited and will be deal with severely. Penalties range from an F or a zero for the specific project or examination to automatic failure for the course for all students involved. Individual instructors must distribute their policy on academic dishonesty during the first week of class.
	C. Accommodations for Disabilities:
		Students who need accommodations because of a disability, have emergency medical information to share, or need special arrangements in case the building must be evacuated should inform the instructor immediately, privately after class or in her or his office. Students must present a current accommodation plan from a staff member in Services for Students with Disabilities (SSWD) in order to receive accommodations in this course. Services for Students with Disabilities may be contacted by going to Goins 134 or 126 or by phone: 694-6751 (Voice/TTY) or 539-7153. More information is available at www.pstcc.edu/departments/swd/
	D. Other Policies:
		Cell phones: Cell phones are to be either turned off or put on vibration mode while in class. Instructor discretion as to penalty.