APPLIED BUSINESS STATISTICS
Competency Mapping Document
(STAT 272)
C1. Introduction to Statistics: Apply foundations of basic statistical analysis in the field of business.
/STAT.C1
Objective 1: Examine the basic foundation of statistical analysis in the field of business and use the
knowledge as a building block to meet future business needs. /STAT.C1.O1
Lesson 1: Examine the basic statistical definitions and terminology as it relates to business
applications and develop basic statistical literacy. /STAT.C1.O1.L1 (STAT 272 1.0)
Topic 1: Statistics, Definitions, and Data – Identify and explore the key elements of data and its
correlation to business statistics, including data sources, variable types, identifiers, crosssectional data, data analysis and its ethical issues. /STAT.C1.O1.L1.T1
Topic 2: Descriptive Statistics - Tabular and Graphical – Examine and use descriptive statistics
and graphical methods in order to accurately manipulate and summarize data which includes
displaying qualitative and quantitative data, histograms, plots, charts, and distribution frequency.
/STAT.C1.O1.L1.T2
Topic 3: Descriptive Statistics: Numerical Measures - Examine how to summarize your data and
calculating descriptive statistics manually which includes exploring how to calculate mean,
median, mode, variance and standard deviation. /STAT.C1.O1.L1.T3
Topic 4: Using Excel to Perform Statistical Analysis – Explore basic statistical functions using
Microsoft Excel and apply various ways to display data and perform calculations required in
statistics. /STAT.C1.O1.L1.T4
Topic 5: Technology and Statistics – Examine and explore several powerful programs used to
perform some of the most sophisticated statistical analysis in the industry. /STAT.C1.O1.L1.T5
Topic Mastery: Mastery Complete exercises from textbooks (i.e., pp. 44 and pp.47) and the
series of topic-related Exercises from MyStatLab for students to apply mastery for each of the
five topics. /STAT.C1.O1.L1.TM
Page 1 of 5
Materials:
1) Chapters 1, 2 and 3
Business Statistics
ISBN-13: 978-0-13-214539-8
Author(s): Robert A Donelly
http://www.coursesmart.com/IR/4719549/9780132135634?__hdv=6.8
2) Chapters 1, 2, 3, 4 and 5
Business Statistics, Second Edition
ISBN-13: 978-0-321-89718-3
Author(s): Norean R. Sharpe; Richard D. De Veaux; Paul F. Velleman
http://www.coursesmart.com/IR/4719549/9780321716200?__hdv=6.8
Lesson 2: Examine the role that probability information plays in risk-taking and decision-making
process and be able to quantify business uncertainties. /STAT.C1.O1.L2 (STAT 272 0.5)
Topic 1: Introduction to Probability – explore the numerical measure and rules governing
probability and understand how to use the laws that are available for computing the likelihood of
occurrence and the probabilities of events. /STAT.C1.O1.L2.T1
Topic 2: Discrete Probability Distributions – examine and calculate the expected value, variance
and standard deviation for a discrete random variable, including binomial probability distributions,
Poisson probability distribution and Hypergeometric distribution, and utilizing Excel to accomplish
complex calculations. /STAT.C1.O1.L2.T2
Topic 3: Continuous Probability Distributions – examine and calculate the expected value,
variance and standard deviation for a continuous random variable, exponential probability
distribution, and standard normal distribution. /STAT.C1.O1.L2.T3
Topic Mastery: Mastery Demonstrate knowledge of modeling and probability as it relates to the
business case by preparing 6 – 8 slide presentation combining acquired knowledge from the
different topics presented in this lesson./STAT.C1.O1.L2.TM
Materials:
1) Chapters 4, 5, and 6
Business Statistics
ISBN-13: 978-0-13-214539-8
Author(s): Robert A Donelly
http://www.coursesmart.com/IR/4719549/9780132135634?__hdv=6.8
2) Chapters 7 and 8
Business Statistics, Second Edition
ISBN-13: 978-0-321-89718-3
Page 2 of 5
Author(s): Norean R. Sharpe; Richard D. De Veaux; Paul F. Velleman
http://www.coursesmart.com/IR/4719549/9780321716200?__hdv=6.8
C2. Inference for Decision Making: Apply statistical analysis on information and be able to compute
the margin of error thereby help make informed business decisions. /STAT.C2
Objective 1: Describe inference and confidence intervals. /STAT.C2.O1
Lesson 1: Examine examples of statistical inference and confidence intervals on data sampling.
/STAT.C2.O1.L1 (STAT 272 1.0)
Topic 1: Surveys and Sampling – examine the process of selecting a sample of elements from
a target population to conduct a survey that will assist in most business-related estimation and
decision-making. /STAT.C2.O1.L1.T1
Topic 2: Interval Estimation - explore the theory of statistical inference using techniques,
definitions, and terminology that builds upon the previous statistical concepts including confidence
interval, determining sample size, and finite sampling. /STAT.C2.O1.L1.T2
Topic 3: Hypothesis Testing – explore basics if conducting, interpreting, and applying simple
hypothesis testing and be able to use critical values to draw testing conclusions.
/STAT.C2.O1.L1.T3
Topic 4: Comparisons Involving Means – explore how to conduct a hypotheses test to compare
the difference between two Means including analysis on variance procedures and confidence
intervals for Means. /STAT.C2.O1.L1.T4
Topic 5: Comparisons Involving Proportions – examine and calculate confidence intervals for
proportions including margin of error, considering assumptions and conditions, and sample size.
/STAT.C2.O1.L1.T5
Topic Mastery: Mastery Demonstrate knowledge of statistical inference and intervals as it
relates to a business case field by preparing 6 - 8 slide presentation combining acquired
knowledge from the different topics presented in this lesson. /STAT.C2.O1.L1.TM
Materials:
1) Chapters 8, 9, 10, 11, 12 and 13
Business Statistics
ISBN-13: 978-0-13-214539-8
Author(s): Robert A Donelly
http://www.coursesmart.com/IR/4719549/9780132135634?__hdv=6.8
2) Chapters 8, 10, 11, 12, 13, 14 and 15
Business Statistics, Second Edition
ISBN-13: 978-0-321-89718-3
Page 3 of 5
Author(s): Norean R. Sharpe; Richard D. De Veaux; Paul F. Velleman
http://www.coursesmart.com/IR/4719549/9780321716200?__hdv=6.8
Lesson 2: Examine statistical models and its applications to support mission critical decisionmaking such as quality control and forecasting. /STAT.C2.O1.L2 (STAT 272 0.5)
Topic 1: Correlation analysis and Simple Linear Regression – describe and examine how
regression analysis can be used to develop an equation that estimates mathematically how two
variables are related; topic also includes analyzing scatterplots, correlation coefficient, regression
model, and regression equations. /STAT.C2.O1.L2.T1
Topic 2: Multiple Regressions – describe and examine how multiple regression analysis can be
used to develop relationships involving one dependent variable and several independent
variables. /STAT.C2.O1.L2.T2
Topic 3: Statistics for Quality Control – examine the importance of quality control and how
statistical methods could assist in the quality control process; topic includes history and
philosophies of quality control, acceptance sampling procedures, understanding the differences
between consumer’s and producer’s risks, and how quality control charts are used statistical
process control. /STAT.C2.O1.L2.T3
Topic 4: Forecasting – examine and understand the need for foresight to plan ahead for future
needs and assist in decision-making by applying accurate forecasts to predict future demand and
projected outcomes. /STAT.C2.O1.L2.T4
Topic Mastery: Mastery Demonstrate knowledge of regressions, quality control and forecasting
in business case studies by preparing 6 - 8 slide presentation. /STAT.C2.O1.L2.TM
Materials:
1) Chapters 14, 15, and 16
Business Statistics
ISBN-13: 978-0-13-214539-8
Author(s): Robert A Donelly
http://www.coursesmart.com/IR/4719549/9780132135634?__hdv=6.8
2) Chapter 16, 17, 18, 19, and 20
Business Statistics, Second Edition
ISBN-13: 978-0-321-89718-3
Author(s): Norean R. Sharpe; Richard D. De Veaux; Paul F. Velleman
http://www.coursesmart.com/IR/4719549/9780321716200?__hdv=6.8
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NOTE to ID:
Pearson Resources – Test, Exercises, Student Activities, Lectures: available from
http://www.MyStatLab.com
Part II—NAU Courses Mapped to Competencies

STAT 272 (3 units)
Competency
Part III-COMPETENCY GRID
C1
C2
STAT 272
1.5
1.5
Competency
UNITS
3
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