Approved by Faculty Senate.

University Studies Course Proposal

Department of Program:Business Administration

Course Number:220

Course Title:Introduction to Business Statistics

Course Description:Elementary business statistics including descriptive measures, elementary probabi1ity, sampling of distributions, and statistical inference. Prerequisites:MATH 110, MATH 120, MATH 140 or instructor's permission. Grade only.

This is an existing course previously approved by AlC2: Yes

Department Contact Person:Marzie Astani E-mail:Marzie.Astani@winona.edu

The proposed course is designed to satisfy the requirements in:

II. C. Mathematics/Statistics OR Critical Analysis Flag

Mathematics/Statistics Flag Outcomes and Course Requirements

As required in point I of the approval process, the following material addresses the two outcomes listed for Mathematics/Statistics Flag courses and documents course content and learning activities relevant to these course outcomes.

a. Practice the correct application of mathematical or statistical models that are appropriate to their prerequisite knowledge of those areasApproximately 40% of the student's course grade is made up of points earned either through written/oral solution to assigned statistical problems or the application of statistical models by using software packages for decision making. Students are required to solve a number of statistics problems for each subject discussed in class. Students are asked to explain the solutions to the problems in class. They are also given pop-quizzes on the topics discussed.

b. Make proper use of modern mathematical or statistical methods appropriate to their level of prerequisite knowledge, to include, if statistics is used in a substantive way, the use of a statistical package with graphics capability when appropriate.

A number of computer projects are assigned throughout the semester, which allow student to use statistical software package to model a business situation and make decision. The graphic capability of the software packages is used to depict the business situations.

Sample Sy1labus

DIS 220 Business statistics

Instructor Phone

Office Hours E-mail

Typical Text: Introduction to** **Business
Statistics

University Studies: Mathematics/Statistics Flag

This course satisfies the three semester-hour requirement of the Mathematics/Statistics Flag component in the University Studies Program. As such, it seeks to provide students taking this course the opportunity to achieve the following outcomes:

a. Practice the correct application of mathematical or statistical models that are appropriate to their prerequisite knowledge of those areas

b. Make proper use of modem mathematical or statistical methods appropriate to their level of prerequisite knowledge, to include, if statistics is used in a substantive way, the use of a statistical package with graphics capability when appropriate.

Grading

Each student is given a problem set each week composed of a number of
problems. Students are required to solve these problems and bring the solutions
to the class. During the class period students present the solution to the
problems and explain how they arrived at the solutions. This constitutes 10% of
their grade (class participation). In addition to these statistics assignment
other statistics problems are assigned from the textbook for practicing
statistical methods and techniques. To evaluate students learning of the topics
a number of pop-quizzes are given in class,
which accounts for *15% *of student's grade. Computer
projects that allow application of statistical models for business situations
through the use of statistical software packages constitute 15% of students'
grade. The remaining 60% of the student's grade come from the three tests. A
90-80-70 grading scale will be used.

Class Activities and Corresponding US Objectives

The current text for DIS 220, Introduction to Business Statistics, consists of basic concepts in descriptive statistics and statistical inference. Class period is spent on lecture on statistical topics and examples, pop-quizzes, and students' presentation of assigned problems (class participation). These activities touch on the two objectives of the US program.

Lectures

PART ONE

A Preview of Business Statistics

· Descriptive Versus Inferential Statistics

· Types of Variables and Scales of Measurement

Visual Description of Data

Introduction

The Data Array and the Frequency Distribution

Constructing a Frequency Distribution

The Stem and Leaf Display

Popular Graphical Methods

Statistical Description of Data

· Introduction

·Measures of Central Tendency

·Measures of Dispersion

·Additional Dispersion Topics: Chebyshev's Theorem, The Empirical Rule, and Standardized Data· Descriptive Statistics from Grouped Data

__PART__ __Two__

Probability

· Basic Concept: Terms and Approaches

· Unions and Intersections of Events

· Addition Rules for Probability

· Multiplication Rules for Probability

· Bayes' Theorem and the Revision of Probabilities

· Counting: Permutations and Combinations

Discrete Probability Distributions

· Introduction

· The Binomial Distribution

· The Hypergeometric Distribution

· The Poisson Distribution

Continuous Probability Distributions

· The Normal Distribution

· Using the Standardized Normal Distribution Table

__PART__ __THREE__

Sampling and Sampling Distribution

· Sampling Methods

· A Preview of Sampling Distribution

· Sampling Distribution of the Mean

·Sampling Distribution of the Proportion· Sampling Distribution when the Population is Infinite

Estimation from Sample data

· Point Estimates

· Interval Estimates

· Confidence Interval Estimates for the Mean: a Known & Unknown

Confidence Interval Estimates for the Population Proportion

PART four

Hypothesis Tests Involving a Sample Mean or Proportion

· Hypothesis Testing Basic Procedures

· Testing a Mean: Population Standard Deviation Known & Unknown

· Testing a Proportion

· P-values and Computer-Assisted Hypothesis Testing

· Confidence Intervals and Hypothesis Testing

· The Power of a Hypothesis Test

Hypothesis Tests Involving Two Sample Means or proportions

· The t-Test for Comparing the Means of Two Independent Samples

·The z-Test for Comparing the Means of Two Independent Samples· Comparing Two Means when the Samples Are Dependent

· Comparing Two Sample Proportions