COURSE PRE-REQUISITES:
Algebra I and II and a satisfactory score on the MATH placement test or satisfactory completion of (MATH 083 or MATH 101 or LVM 3); or consent of the instructor.

COURSE DESCRIPTION:
Develops an understanding of statistical methodology and use of critical judgment in analyzing data sets; covers descriptive statistics, introduction to probability, normal and binomial distributions, hypothesis testing, confidence intervals, regression and correlation, chi-square distribution, and introduction to ANOVA.

REQUIREMENTS:
 

ATTENDANCE POLICY FOR THIS COURSE: Students are expected to attend ALL scheduled classes from the beginning through the end. Without excellent attendance it will be extremely unlikely to successfully complete the course. Any material missed is your own responsibility. Make-up tests will be provided for serious matters only (serious illness, religious holidays, or participation in official college functions). I may ask for documentation from an employer or physician, including a phone number for verification. If you must miss a test, you must notify me before the scheduled test, and any make-up test must be taken within 5 working days after the original test date to assure student progress in the course. If these conditions are not met, your score on the test will be zero.

EQUIPMENT: TI-83 or TI-83+ graphing calculator will be extensively used in the course and is therefore highly recommended.

TEXT: Elementary Statistics by Triola, Edition 8, Addison Wesley publisher

SPECIAL SERVICES: Students, don't wait till the last minute to ask for help, if your grades show that you need help. There is some student and faculty tutoring available. Interested in online tutoring? Directly link to ELMO or follow the instructions from the handouts.

COMMENTS: Pagers and cell phones must be turned off during class! (Not just set to vibrating mode)

NETWORKING:
Name of contact:                                    Phone:                                   e-mail:
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CALENDAR:
 

TENTATIVE LIST OF DATED ASSIGNMENTS FOR SECTION HV:
 

COURSE OBJECTIVES:
Upon successful completion of this course students will be able to:
1. Demonstrate the relationship of statistics to the modern world. (I,IV,V,1,2,3,6,7)
2. Apply technology to statistical problems.(IV,4)
3. Assess statistical reasoning in everyday life.(I,1,3,6,7)
4. Describe data with appropriate measures of central tendency and variability.(I, IV,V,1,3,4,6,7)
5. Evaluate statistical graphs.(I,IV,V,1,3,4,6,7)
6. Analyze linear regression and correlation problems (I,IV,V,1,3,4,5,6,7)
7. Examine statistical concepts as they apply to diverse populations. (III, V)
8. Compute binomial probabilities (I,IV,1,4,6,7)
9. Compute normal distribution probabilities (I,IV,1,4,6,7)
10. Apply the fundamentals of probability and the addition and multiplication rules to introductory problems.(I,IV,1,3,4,6,7)
11. Evaluate confidence intervals in order to make informed decisions about data.(I,IV,V,1,3,4,5,6,7)
12. Determine the validity of conclusions about a population by performing hypothesis tests.(I,IV,V,1,3,4,5,6,7)
13. Use of the chi-square distribution to perform independence and/or goodness-of-fit tests using data obtained in everyday life.(I,IV,V,1,3,4,6,7)
14. Use a one-way ANOVA to solve "real-world" problems.(I,IV,V,1,3,4,6,7)
15.  Construct a solution to real world problems using problem methods individually and in groups. (II, III, V, VI, 2, 3, 7)
16.  Examine the mathematical contributions made by people from diverse cultures throughout history. (V, 5)
17.  Articulate a solution to mathematical problems. (II, 2)

MAJOR TOPICS:
I. Introduction
A. Introductory definitions
B. Use of statistics in everyday life
II. Descriptive Statistics
A. Graphs
B. Measures of Central Tendency
C. Measures of Variability
III. Probability
A. Fundamentals and basic concepts
B. Addition rule
C. Multiplication rule
IV. Binomial Distribution
A. Use and interpret binomial probabilities
B. Mean and standard deviation of a binomial random variable
V. Normal Distribution
A. Characteristics of the normal distribution
B. Use and interpret normal probabilities
C. The Central Limit Theorem
VI. Estimates and Confidence Intervals
A. Introduction to the t-distribution
B. Confidence Interval for a population mean, large and small sample sizes
C. Confidence Interval for a population proportion
VII. Hypothesis testing
A. Characteristics of a hypothesis test
B. Hypothesis test of a population mean, large and small sample sizes
C. Hypothesis test of a population proportion
D. Hypothesis testing for two populations
VIII. Regression and correlation
A. Scatter plot
B. Use and interpret the correlation coefficient
C. Use and interpret the linear regression line
IX. Chi-Square Distribution
Independence tests and/or goodness-of-fit test
X. Analysis of Variance (ANOVA)
     One-way ANOVA

RATIONALE:
Statistics is used in a great number of areas such as business, psychology, nursing and medicine, biology, and the social sciences.  This course will provide the basics of descriptive and inferential statistics so that students will be more able to read and interpret research articles in the student's field.  In addition, the student should be better able to understand statistics as it is used in everyday life and in newspaper and magazine articles.

COLLEGE POLICIES FOR COURSE SYLLABI