BA 6933 Statistics and Quantitative Methods Summer 2023, Term 1

Hello, dear friend, you can consult us at any time if you have any questions, add WeChat: daixieit

Statistics and Quantitative Methods

Summer 2023, Term 1

BA 6933

Course Description:

Throughout this course, students will examine statistical tools and techniques. This course presents an overview of the various primary and secondary research methodologies used in the business world. Students will apply statistical techniques to business strategies. This course will be business

oriented, providing students with business examples and cases studies.

Note: The first meeting will be holding on :

Date: Monday, June 12, 2023

Time: 8:00 AM - 5:00 PM

Location: Detroit Education Center, Classroom 1, Suite 520

Learning Outcomes: Upon completion of this course, the student should be able to:

1.  Analyze descriptive statistics presented in tabular, graphical, and numerical form.

2.   Calculate discrete and continuous probabilities.

3.   Determine probability distributions and interval estimations from sample/population data.

4.   Formulate inferential conclusions using hypothesis testing, experimental design, chi-square analysis, and analysis of variation statistical methods.

5.   Solve business problems using simple, multiple, and logistic regression analysis.

6.   Develop time series and forecasting models.

Prerequisites: None.

Required Text:

Option 1

MindTap  for  Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's  for  Modern  Business  Statistics with Microsoft® Excel®, 7th Edition, 1 term

PAC 9780357131510

IAC 9780357131503

Option 2

Cengage Unlimited

4 MO IAC 9780357700006

4 MO PAC 9780357700037

Course Requirements:

Attendance/Participation: All students are expected to log in to their courses regularly throughout the week to receive instruction, materials, and updates from the instructor. It is your responsibility to check in and submit your assignments, complete your discussion board postings, and finish quizzes and exams by the due dates.

If you do not participate in the course, you will be counted absent. Simply logging in is not enough; you must submit/complete an assignment, post to a discussion board, or other similar assignment tasks to avoid being counted absent. Instructors are required to submit attendance the Monday following each week of class.

This attendance is reported to the Financial Aid Department and may result in the loss of any financial aid refund you are expecting if you have not been participating in your courses. In addition, you will be administratively dropped from the course if you are reported absent a total of three weeks. Furthermore, Timely submission of assignments is critical, and no late submissions will be accepted.

Grading/Evaluation:

Trine Graduate Grading Scale:

Grade

Percentage

Quality Points

Meaning of Grade

A

93- 100

4.0

Excellent

B+

87-92

3.5

Very Good

B

81-86

3.0

Good

C+

75-80

2.5

Above Average

C

70-74

2.0

Average (lowest passing grade)

F

00-69

0.0

Failure

S

Satisfactory

Not figured into GPA

 

U

Unsatisfactory

Not figured into GPA

 

I

Incomplete

Not figured into GPA

 

IP

In Progress (grade deferred)

Not figured into GPA

 

W

Withdrawal

Withdrawal      before completion of 80% of semester

 

WP

Withdrawal

Withdrawal         after completion of 80% of semester issued only under                 special circumstances       and with  approval  of the department

chair/director

 

Grade Distribution

Discussion forums (8)                       10%

Chapter Assignments (19)                 20%

End of Chapter Quizzes (19)              20%

Exam (2)                                         50%

Other Policies:

Communication:

The primary method of communication will be through the course's online platform and email. Students are expected to check the platform regularly for announcements and updates.

Student Expectations:

Students  are  expected to  complete  all  assignments  and  quizzes  by the specified deadlines. Students also are expected to participate in the course's discussion forums.

Instructor Expectations:

The instructor will provide timely feedback on assignments and quizzes. The instructor will be available to answer questions and help throughout the course.

Academic Misconduct:

The University prohibits all forms of academic misconduct. Academic misconduct refers to dishonesty in examinations (cheating), presenting the ideas or the writing of someone else as one’s own (plagiarism) or knowingly furnishing false information to the University by forgery, alteration, or misuse of University documents, records, or identification. Academic dishonesty includes, but is not limited to, the following examples: permitting another student to plagiarize or cheat from one’s own work, submitting an academic exercise (written work, printing, design, computer program) that has been prepared totally or in part by another, acquiring improper knowledge  of  the  contents  of  an  exam,  using  unauthorized  material  during  an  exam, submitting  the  same  paper  in  two  different  courses  without  knowledge  and  consent  of professors, or submitting a forged grade change slip or computer tampering. The faculty member has the authority to grant a failing grade in cases of academic misconduct as well as referring the case to Student Life.

Plagiarism:

You are expected to submit your own work and to identify any portion of work that has been borrowed from others in any form. An ignorant act of plagiarism on final versions and minor projects, such as attributing or citing inadequately, will be considered a failure to master an essential course skill and will result in an F for that assignment. A deliberate act of plagiarism, such as having someone else do your work, or submitting someone else’s work as your own (e.g., from the Internet, fraternity file, etc., including homework and in-class exercises), will at least result in an F for that assignment and could result in an F for the course.

Discussion Board conduct:

The discussion board is a crucial part of the course, and your participation in it every week is expected.

Electronic Devices:

Use of electronic devices including smart watches and cell phones is prohibited during exams or quizzes unless directly allowed by the instructor.


2023-06-12