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DSCI 2710 - 004 (INET)

Fall - 2015

INSTRUCTOR: Dr. Al Kvanli

OFFICE: BLB 312G E-MAIL: kvanli@unt.edu

OFFICE PHONE: 940-565-3115

OFFICE HOURS: Friday (12:00 to 1:30)

REQUIRED BOOKS

1. Business Statistics: Analytics for Decision Making by Kvanli/Pavur/Keeling

Comment: The hard copy of this text will be used along with the electronic version available

on Blackboard. The hard copy is packaged with the access code. You cannot purchase the

access code separately. To access the electronic version with its supporting materials, you

will need to login to your section’s Blackboard website and then provide the access code that

appears inside the front cover of your textbook upon your initial use of the electronic

textbook material. After completing all the assigned homework for each chapter, you will

take the chapter’s post-test in Blackboard, testing you over the assigned homework exercises

of that chapter. These post-tests will be part of your final grade.

Do not purchase a used version of the textbook since you will be

unable to take the post-tests as the access codes are designed for

one-semester use in this course by each student and are not

transferable.

2. Technology

Blackboard Learn is being used for this course. This web site is located at

learn.unt.edu. The lecture handouts will be posted on this website on a weekly basis.

Click on “First Look” to view the requirements of the course.

IMPORTANT: If for any reason, you end up re-taking this course during another

semester, this code will no longer be usable and you will need to purchase another code.

Essentially, you are purchasing the rights to the Cengage material in Blackboard for one

semester. Keep this in mind if you are deciding whether to drop the course. If you are

retaking DSCI 2710 this semester, send an email to Kvanli@unt.edu and I will give

you another textbook option. Be sure to tell when you last took the course and the

instructor’s name.

However, once you complete DSCI 2710, you will have access to the course materials in

DSCI 3710 and will not be required to purchase a separate code in that course.

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3. Business Statistics:Hawkes Learning, by James S. Hawkes of Hawkes Learning.

Notes: (1) This software is required to complete the assignments that are equivalent to a

substantial part of your grade. (2) You can download this software by following the steps in

Getting Started #2 (see bottom of this page).

To actually run the software at home or in one of the COB labs, you must purchase an

access code. For those of you with a Visa or MasterCard, follow Option 1.

If you don=t have such a card, follow Option 2.

Option 1: Go to http://www.hawkeslearning.com and select Get your Access Code.

Then click on the button under Purchase your Access Code.

Select Business Statistics in the Hawkes Learning System Title box.

Then click on Next. Fill in the credit card information form.

Option 2: Purchase the box containing this software in the UNT Bookstore or

wherever this software is sold on campus. Inside the box is a software

license number that is necessary in Step 3 (below). Obtain your access code

by using Step 3.

4. Obtaining your Hawkes code: Log on to www.hawkeslearning.com and select Get your

Access Code. Then click on the button under Get your Access Code. Be sure to select

University of North Texas – Denton as the School. Then click on Submit. If there is a 15

minute delay in receiving your code, contact Hawkes Learning at 800-426-9538 and they will |

be happy to assist you. Be sure to enter your name exactly as the registrar at UNT has

your name (e.g., no nicknames or newly-married names).

The course ID is UNTBSTAT.

IMPORTANT: For more information on Hawkes and other useful DSCI 2710 information,

go to the IMPORTANT FILES tab in our DSCI 2710-004 Blackboard course and

click on Getting Started. Please don’t email me questions that are covered in

these PowerPoint presentations. It is critical that you begin this course by

carefully going through these presentations.

After clicking on Getting Started, you will see the following seven PowerPoint files.

Take a look at these seven files (in order) to get off to a smooth start in this course.

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EXTRA CREDIT

You can work any of the following five Hawkes modules for extra credit (5 points each).

They must be completed by the due date to obtain full credit.

(1) Measures of Dispersion (Module 3.2a). Due Date: Sunday, September 13

NOTE: “Measures of Dispersion” is just another name for “Measures of Variation”.

(2) Classical Probability (Module 4.1). Due Date: Sunday, September 27

(3) Counting Rules (Module 4.3). Due Date: Sunday, October 25

(4) Find the Value of t (Module 6.5). Due Date: Sunday, November 22

(5) Estimating Means: Sigma Known (Module 8.3). Due Date: Sunday, November 22

GOALS: At the end of the course, you should:

1. have an increased appreciation for the use of statistics in business decision making,

2. be better able to select the appropriate statistical tool/methodology to aid in business

decision making,

3. be able to use a computer spreadsheet program such as Excel to describe and analyze

numerical data,

4. be better able to communicate in the language of applied business statistics,

5. have acquired a more positive attitude towards business statistics,

6. be able to manipulate simple statistical formulae to solve non-verbal (numerical )

problems,

7. have an enhanced ability to follow directions and instructions.

TEACHING METHOD

1. You are encouraged to pay attention to commercials and news items in printed as well as

audio-visual media to become aware of the wide use of statistics in our daily lives. To better

assist you in understanding the use of these methodologies in business many of the class

problems will be presented as simple business cases.

2. You should work all the homework exercises assigned during the course since the post-test

questions refer to these assigned exercises. In addition to the problems in the textbook, the

Hawkes Learning modules are intended to assist you in better structuring the learning time you

spend on practice problems.

EVALUATION

To demonstrate your ability to use quantitative techniques in business, you will answer exam

questions based on short cases. Rather than being purely numerical, problems will be presented in

word format. In addition, you will work on Excel case studies that require you to use an Excel

spreadsheet program to analyze and describe real-world business data. By simulating real business

problems and requiring you to communicate in writing, using the language of statistics, these

evaluation instruments will reinforce the course objectives.

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General Comments:

1. Doing the assignments is essential to succeeding in this course. You are encouraged

to keep up with the homework problems and check the answers to the odd-numbered

exercises provided in the back of the textbook. These answers are also available in

Blackboard by clicking on Course Content > Resources > Textbook Appendix B.

2. You have the final responsibility for seeing that you properly withdraw before the scheduled

last drop day. Anyone who stops attending class should execute the drop procedure since

failure to do so may result in a grade of “F” which cannot be changed.

3. You are requested not to phone or email the ITDS department or the instructor for your final

grade in the course. Course grades are available electronically in the week following

final-exam week.

The PowerPoint Lectures

1. The PowerPoint Lectures should be used to learn the material. These lecture slides are

narrated and animated. Be sure to use the Slide Show feature in PowerPoint and have your

computer sound turned on.

2. The PowerPoint lecture for each chapter is available inside each Blackboard chapter.

For example, here is the lecture file for Chapter 1.

NOTE

The lecture file

is here.

A short

chapter

introduction is

here.

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DSCI 2710 Course Specific Policies

1. Homework: Homework will be assigned (see page 15) and should be completed when

due. Completing the homework is critical to learning the material and completing the

exams on time. You are expected to read and understand the relevant sections of the

textbook.

NOTES: (1) Part of your grade will consist of the nine chapter post-tests.

To take a post-test, while in Blackboard, click on Post-Tests (inside Course

Content) and then click on the post-test you wish to take.

For more information, see Getting Started #3 (slides 5 – 8).

(2) The post-test questions are taken directly from the homework.

Since the post-tests are timed, you must complete the homework

assignment before taking the post-test.

. 2. Computer Exercises: Five computer exercises (see pages 11 and 12) using Excel will be

assigned. There will be quizzes on these Exercises to establish your point score.

3. Tutorial Exercises: 15 tutorial exercises (see page 13) using the Hawkes Learning

modules will be assigned. These are an important part of the course grade. The modules

will be registered online upon completion.

4. Exams: There will be three exams plus a comprehensive final exam.

These exams are given on the UNT campus only. All exams will be closed book. For each exam, bring a formula sheet, any tables that

apply, and a photo ID. The exam reviews are posted under [Exam-Reviews] in the

IMPORTANT FILES tab in our Blackboard course. Practice exams are available in the

Kvanli Practice Exams tab in Blackboard. You are not allowed to bring the exam review to

the exam - only the formula sheet that you prepared and the necessary tables.

Point Allocation:

Exam #1 200

Exam #2 200

Exam #3 200

(Low exam of #1, #2, #3 will be thrown out) -200

Final exam (cumulative) 200

Online post-tests 100 (*)

Tutorials (Hawkes Learning) 75 (5 points each)

Excel assignment quizzes 25 (5 points each)

TOTAL 800

(*) The post-test points consist of the percentage of all answers correct, factoring in the late-quiz

penalties. For example, if your correct-answer total (after late-quiz penalties) is 85 questions correct

out of 100 questions asked, your post-test points are 85.

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5. Grading: Course average based on all components

90+ = A

80+ = B

70+ = C

60+ = D

Below 60 = F

6. A Statistics Lab. is available on campus for students seeking additional help. Hours will be

posted on the DSCI 2710 website. The purpose of the lab is to assist students to overcome

difficulties they may encounter in attempting statistics problems.

The lab is located in BLB 131.

Comments regarding the stat lab

1. The statistics lab is not available to aid students in taking post-test quizzes.

2. (IMPORTANT) The stat lab is especially busy right before exams. There is not enough staff

to handle a surge of students and so you may not get the help you need. It is much better to

visit the stat lab as homework questions come up and not wait until the last minute.

DEPARTMENT & COLLEGE POLICIES

1. If you wish to register a complaint, you should first discuss your complaint with me.

To further pursue your complaint, you can also contact Dr. Mary Jones, ITDS Department

Chair, but ONLY after discussing it with me.

2. As a general rule NO MAKE-UP EXAMS will be given.

3. The University policy on Code of Conduct and Ethics is contained in the Student Guide

book. You are responsible for knowing the information contained in this and all other

official University publications.

4. Students with Disabilities: The College of Business Administration complies with the

Americans with Disabilities Act in making reasonable accommodations for qualified

students with disability. If you have an established disability as defined in the "Act" and

would like to request accommodation, please see me as soon as possible.

5. Dates of drop deadlines, exams, final exams, etc., are published in the university catalog

and schedule of classes. Please be sure you keep informed about these dates.

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6. A grade of "I" will not be assigned except in rare circumstances. If you think you will

not be able to complete the class satisfactorily, please drop the course. An “I” grade cannot

be used to substitute your poor performance in class.

7. If a student is caught cheating, he or she will be immediately removed from the class with a

"WF" grade. To be reinstated, the student must provide substantial evidence to the contrary

in a hearing held in the Dean of Students Office, University of North Texas.

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DSCI 2710 SYLLABUS -- Fall, 2015

The syllabus below is an outline for structuring your time. To be prepared for exams and

completing the Hawkes modules and Excel quizzes on time, you should not get behind this

schedule.

Week Beginning Topics Sections in Text

Aug. 24 Introduction to Statistics Chap. 1.1 thru 1.6

Frequency Distributions Chap. 2.1 thru 2.3

Hawkes: Obtain access code

Aug. 31 Descriptive Graphs Chap. 2.4 thru 2.6

Descriptive Measures Chap. 3.1 thru 3.6

Sept. 7 Trend and Seasonal Variation Chap. 4.1 thru 4.4

Sept. 14 Trend and Seasonal Variation Chap.4.5 and 4.6

Index Numbers-CPI Chap. 4.10

Sept 21 Probability Concepts Chap. 5.1 thru 5.4

Sept. 28 Discrete Prob. Distribution Chap. 6.1 thru 6.2

Binomial Distribution Chap. 6.3

Oct. 3 (Saturday) *** Exam #1 *** - - Descriptive Statistics and Time Series Ch 1-4

Room BLB 080, 10:00 - 11:30

Oct. 5 Poisson Distribution Chap. 6.4

Continuous Prob. Dist. Chap. 7.1 thru 7.4

Oct. 12 The Normal Curve Chap. 7.5 thru 7.7

Inference & Sampling Chap. 8.1 & 8.2

Oct. 19 Confidence Intervals

for the mean (σ known) Chap. 8.3

for the mean (σ unknown) Chap. 8.4

Oct. 26 Catch up

Oct. 31 (Saturday) *** Exam #2 *** -- Chapters 5 and 6

Room BLB 080, 10:00 - 11:30

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Nov. 2 Determining Sample Size Chap. 8.5

Quality Improvement Chap. 9.1 thru 9.4

Nov. 9 Control Charts Chap. 9.5

Control Charts for Variables Chap. 9.6

Control Chart Patterns

Nov. 14 (Saturday) *** Exam #3 *** -- Chapter 7 and 8.1, 8.2

Room BLB 080, 10:00 - 11:30

Nov. 16 Control Charts for Attributes Chap. 9.7

Nov. 27 - 29 *** NO CLASSES - Thanksgiving Holiday

Nov. 30 Catch up

Dec. 5 (Saturday) *** Final Exam ***

Room BLB 080, 10:00 - 12:00

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Taking Excel Quizzes

Be sure to go through the PowerPoint slides in Getting Started #6 (see page 2 in this syllabus).

• You need to take the Excel quiz through Blackboard any time during the Quiz Window on

page 13.

• You cannot take the Excel quiz before or after this time window.

Notes (1) These quizzes will not appear in Blackboard until the first day of the Quiz Window.

Once you click on the Begin button, the clock is running for the assigned time allotted for

the quiz. Therefore, get everything you need (e.g., hard copy of the Excel spreadsheets,

calculator, textbook) BEFORE opening the quiz.

(2) Take the Excel quiz any time during the Quiz Window on page 13. For example, Excel quiz #1

can be taken anytime between August 31 and September 6. This quiz will not appear in

Blackboard until August 31 and will disappear from Blackboard at midnight, September 6.

Click on the quiz you wish to take

The Excel quizzes are here

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Excel assignments

Excel #1 --- Due by Sept. 6

Retrieve the data for exercise # 3.44 (page 83) using data set EX3-44.xls.

Ignore the questions in the exercise and answer the following questions:

a. Produce two histograms, using two different class widths

b. Do you agree with the statement that the service time rarely exceeds 24

minutes? Why or why not?

c. Determine the descriptive statistics using Excel's

Tools > Data Analysis > Descriptive Statistics d. Give a reason why the distribution is skewed (if it is) and in which direction.

Be sure to use the Pearson measure of skewness, not the Excel measure of

skewness.

Excel #2 --- Due by Sept. 20

Retrieve the data for exercise # 4.49 (page 151) using data set EX4-49.xls.

Ignore the questions and answer the following questions:

a. Using the Excel macros, what are the seasonal indexes and trend line?

b. What are the cyclical components for the year 2009?

c. What do you observe in the data?

Excel #3 --- Due by Oct.11

Use the binomial function to answer the following questions (there is no data set here):

Suppose a shipment of 400 components contains 68 defective and 332 non-defective

computer components. From the shipment you take a random sample of 20.

When sampling with replacement (binomial), determine the probability of obtaining:

a. Exactly two defective components in the sample of 20.

b. Two or more defective components in the sample of 20.

c. Three or less defective components in the sample of 20.

d. Between one and three (inclusive) defective components.

e. More than four defective components.

f. What are the mean and variance of this discrete random variable?

(continued on next page)

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Enter 0 through 20 in column A and construct the entire distribution in column B using Excel’s

BINOMDIST function (explained on pages 233 and 234 in the textbook).

X P(x)

0 0.xxxx

1 0.xxxx

2 0.xxxx

.

.

.

20 0.xxxx

1.0000

Excel #4 --- Due by Nov. 8

Retrieve the data for exercise # 8.31 (page 316) using data set EX8-31.xls.

Ignore the questions and answer the following questions:

a. Use data set EX8-31.xls to determine a 95% confidence interval for the mean loss.

Assume the population standard deviation is unknown.

b. Suppose in part (a) that the population standard deviation is believed to be 1200

(million dollars). Now what is the 95% confidence interval for the mean loss?

Excel #5 --- Due by Nov. 22

Using data set EX9-29.xls (discussed in Exercise 9.29, page 362), construct the Xbar

chart and R chart. Also, look for patterns in the Xbar chart. Does the process appear to

be in control?

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DUE DATES

Hawkes Learning Systems: Business Statistics

Module Module Due Date

1 1.2 Level of Measurement 9/2

2 3.1 Measures of Center 9/9

3 3.3 Constructing Samples 9/11

4 5.1 Discrete Random Variables 10/7

5 5.2 Binomial Word Problems 10/7

6 5.3 Poisson Word Problems 10/9

7 6.2 Reading a Normal Curve Table 10/16

8 6.4 Finding the Value of Z 10/16

9 6.3 Normal Distr. Word Problems 10/23

10 7.3 Sampling Distribution (Means) 11/4

11 8.4 Estimation (Means) Sigma Unknown 11/6

12 13.1 R Charts 11/23

13 13.4 Mean Charts using Range 11/23

14 13.2 p Charts 12/4

15 13.3 c Charts 12/4

Excel Assignments Online Post-Tests

Assignment # Quiz Window Chapter Due Date (Sundays)

1 8/31 - 9/6 1 9/6

2 9/14 - 9/20 2 9/13

3 10/5 - 10/11 3 9/20

4 11/2 - 11/8 4 9/27

5 11/16 - 11/22 5 10/4

6 10/18

7 11/1

8 11/22

9 11/29

The modules can be completed any

time but receive half credit if late

The Excel quizzes can be

taken ONLY during the Quiz

Window. They cannot be

taken after the last date in

the Quiz Window. The post-tests can be competed any

time but receive half credit if late.

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NOTES

● The last nine slides in Getting Started #2 (see page 2 in the syllabus) discuss how to complete the

Hawkes modules.

● After getting a module certified, you should check your Hawkes Progress Report.

● Late certification is accepted but at a 50% penalty.

● No late Hawkes assignments or post-tests will be counted after December 6.

Remember: The course ID is UNTBSTAT.

See www.hawkeslearning.com or phone HLS at 800-426-9538 for help

Note: If you have an internet connection while completing a module, the Hawkes Learning

system should automatically register your module when you successfully complete the

CERTIFY phase.

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Assigned Homework DSCI 2710

Chapter 1

Exercises: 1.1 through 1.5, 1.21, 1.25

Chapter 2

Exercises: 2.1, 2.2, 2.5, 2.8 (a,b,c), 2.10 (a,b,c,d), 2.11 (a,b,c,d), 2.14, 2.15,

2.20 (uses a data set), 2.22 (uses a data set), 2.27, 2.29, 2.31, 2.32

Chapter 3

Exercises: 3.1, 3.3, 3.4, 3.6, 3.8 (uses a data set), 3.9 (uses a data set), 3.13, 3.15, 3.16, 3.18, 3.24,

3.25, 3.27 (a,b,c,d), 3.28, 3.31 (uses a data set), 3.34, 3.37, 3.38, 3.41, 3.42, 3.44 (uses a data set)

Chapter 4

Exercises: 4.2, 4.4, 4.5, 4.7, 4.12, 4.15 (uses a data set), 4.17, 4.19, 4.21, 4.24, 4.29, 4.30, 4.34 (uses

a data set), 4.35, 4.36, 4.39, 4.40, 4.49 (uses a data set), 4.50 (uses a data set), 4.63, 4.64, 4.65, 4.67,

4.68, 4.71

Chapter 5

Exercises: 5.1, 5.2, 5.7, 5.8, 5.9, 5.11, 5.12, 5.13, 5.16, 5.18, 5.22, 5.25, 5.28, 5.29, 5.31

Chapter 6

Exercises: 6.1, 6.3, 6.4, 6.6, 6.7, 6.9, 6.11, 6.12, 6.15, 6.20 through 6.24, 6.26, 6.27, 6.30, 6.31, 6.34

through 6.37, 6.39, 6.41, 6.42, 6.45, 6.46, 6.49, 6.50, 6.53

Chapter 7

Exercises: 7.1 through 7.8, 7.11 through 7.18, 7.22

Chapter 8

Exercises: 8.1, 8.2, 8.3, 8.5, 8.6, 8.7, 8.10 through 8.18, 8.22, 8.23, 8.25, 8.26, 8.27, 8.28, 8.30,

8.34, 8.35, 8.37, 8.39, 8.40, 8.41

Chapter 9

Exercises: 9.2 through 9.7, [Chapter 2: 2.34], 9.9, 9.11, 9.15, 9.21, 9.22 (a,b), 9.26, 9.29 (uses a data

set), 9.30 (uses a data set), 9.33 through 9.40