Course Plan
Date: August 1, 2012 - 2013
Math 151, Statistics I
3 lecture hours for 3 semester hours credit
Course Description: This course provides a project based approach to the study of basic
probability, descriptive and inferential statistics, and decision making. Emphasis is placed on
measures of central tendency and dispersion, correlation, regression, discrete and continuous
probability distributions, quality control, population parameter estimation, and hypothesis
testing. Upon completion, students should be able to describe important characteristics of a
set of data and draw inferences about a population from sample data.
Course Objectives:
 Students will be able to apply basic definitions of statistics.
 Students will be able to analyze data using descriptive statistics.
 Students will be able to solve problems involving probability and probability laws.
 Students will be able to solve problems involving normal distributions.
 Students will be able to solve problems involving linear regression.
 Students will be able to apply techniques for conducting hypothesis testing.
Student Learning Outcomes:
 Model and solve real-world applications mathematically
 Perform mathematical calculations appropriate for the discipline of study
Prerequisites: MAT 140 or MAT 080, or a passing score on the placement test or Math SAT of
at least 500 or ACT  21 .
Corequisites: optional MAT 151A
Textbook and Required Materials:
Elementary Statistics, Custom Pub edition, Marty Triola, Pearson, 2012.
CD that accompanies textbook, Graphing Calculator TI-83+, Practice Worksheets.
Course Outline:
 Introduction to Statistics and Summarizing and Graphing Data
 Types of Data
 Critical Thinking
 Collecting Sample Data
 Frequency Distributions
 Histograms
 Statistical Graphs
 Critical Thinking and Bar Graphs

Describing Data and Linear Regression
 Measures of Center
 Measures of Variation
 Measures of Relative Standing
 Boxplots
 Correlation
 Regression
 Variation and Prediction Intervals
 Multiple Regression
 Modeling

Probability
 Basic Concepts of Probability
 Addition Rule
 Multiplication Rule
 Complements
 Conditional Probability
 Probabilities Through Simulations
 Counting

Discrete Probability Distributions and Normal Distributions
 Random Variables
 Binomial Probability Distributions
 Mean, Variance, and Standard Deviation for the Binomial
 Distribution
 The Poisson Distribution
 The Standard Normal Distribution
 Applications of Normal Distributions
 Sampling Distributions and Estimators
 The Central Limit Theorem
 Assessing Normality

Estimates and Sample Sizes and Hypothesis Testing
 Estimating a Population Proportion
 Estimating a Population Mean
 Estimating a Population Variance




Basics of Hypothesis Testing
Testing a Claim about a Proportion
Testing a Claim about a Mean
Testing a Claim about Variation
Grading Policy: Grading policies will be included in the syllabus and distributed to all students
at the beginning of each semester. In all curriculum math courses the grading scale is the
same: A = 100-90, B = 89-80, C = 79-70, D = 69-60, F = 59-0.
Disability Services: Alamance Community College is committed to providing equal educational
opportunities for students with documented disabilities. Students who require disability services
or reasonable accommodations must identify themselves as having a disability and provide
current diagnostic documentation to the Disability Services Office located in the Gee Building,
Room 128. All information is confidential. Please contact Monica Isbell, Coordinator of Special
Needs & Counseling Services for more information at 336-506-4130 or email at
isbellm@alamancecc.edu.
Student Access to Faculty: Instructors will provide students with a written syllabus that
includes their name, office number, telephone number, e-mail address and office hours.
Attendance Policy: The standard ACC attendance policy will be followed (see the ACC
Student Handbook for details.) The attendance policy may be modified by departments as
approved by the Associate Dean. The specific attendance policy for this course will be provided
in the syllabus.
Academic Integrity: Students should review the Student Code of Conduct section of the Student
Handbook.
Course Evaluation: This course will be regularly evaluated in accordance with college policy.
Endorsement of the Department Head and Associate Dean
Department Head: Sonya McCook
Date: August 1, 2012
Associate Dean: Cathy Johnson
Date: August 1, 2012