This first course in statistics is
designed to introduce students to basic statistical methods and techniques.Students will learn how you organize and
analysis data to support decision making.Students will also learn how to be more discerning consumers of data
presentations and analyses from other sources, such as government and company
reports, published research findings, and popular media news coverage.The course will feature an intensive lab
experience using MS Excel.Topics will
include:

Descriptive Statistics:
Measures of central tendency (mean, median, mode), measures of dispersion
(range, standard deviation, variance), graphical data presentation (charts,
plots).

Probability and Common Distributions: Definition of probability, basic laws of
probability, random variables, discrete and continuous probability
distributions (uniform, binomial), the
Normal distribution, Central Limit Theorem, standard error of the mean.

Inferential Statistics: Sample versus population, sampling, hypothesis
testing, significance level, Type I and Type II error, tests of distribution
parameters, T-Test, confidence intervals.

Exploring Relationships among Variables:Correlations,
goodness of fit, linear regression analysis, explanatory versus predictive
applications, nonlinear relationships.

Goals and Objectives

Students
completing this course should be able to:

·Create,
read, and interpret graphs, charts, histograms, and diagrams.

·Understand and use the
basic measures of central tendency and dispersion.

·Understand and use the
language of probability and commonly used probability distributions.

·Formulate and test hypotheses about population parameters in an
appropriate manner.

·Collect, organize, and represent data, and be able to recognize and
describe relationships.

·Use MS Excel to analysis datasets in support of
business decision making.

- Statistics and Critical Thinking
-Types of Data; Sampling versus Population
- Introduction to Excel Reading: Chapter 1
Homework:
Review Ex: 1,3,5,7,9 (p.45-46)
Excel Project: See assignment.Quiz 1

2

Summarizing and Graphing Data

• Frequency Distributions
• Histograms
• Use of Graphics to Inform and Misinform
Reading: Chapter 2
Homework:
Review Ex: 1,2,7 (p. 90-91)
Excel Project: p. 92. Quiz 2

3

Basics of Descriptive Statistics

• Measures of Central Tendency
• Measures of Dispersion
• Measures of Relative Standing and Boxplots
Reading: Chapter 3
Homework:
Review Ex: 1,2,5,8 (p.148-149)
Excel Project: p. 150.Quiz 3

4

Basic Concepts of Probability

• Addition and Multiplication Rules
• Complements and Conditional Probability
• Permutations and Combinations
Reading: Chapter 4
Homework:
Review Ex: 1 thru 10,13 (p.209-210)
Excel Project: p. 213 Quiz 4

5

Discrete Probability Distributions

• Binomial Distributions
• Parameters for Binomial Distributions
• Discrete Probability Distributions
Reading: Chapter 5
Homework:
Review Ex: 1 thru 4,8,10 (p.259-260)
Excel Project: p. 263 Quiz 5

• Estimates of Confident Intervals
• Estimates of Means
• Estimates of Variance
Reading: Chapter 7
Homework:
Review Ex: 1,4,5,9 (p.401-402)
Excel Project: None. Quiz 7

9

Inferential Statistics

• Hypothesis Testing
• Type I and Type II Error
• Applications and Examples
Reading: Chapter 8
Homework:
Review Ex: 2,3,6,8 (p.463-464)
Excel Project: p. 467 Quiz 8

10

Inferences from Two Samples

• Two Means: Independent Samples
• Two Means: Dependent Samples
• Two Variances
Reading: Chapter 9
Homework:
Review Ex: 1,4,6,8 (p.522-523)
Excel Project: p. 525
(Note: optional, extra credit project) Quiz 9