Syllabus - BADM-220 Business Statistics PDF

Title Syllabus - BADM-220 Business Statistics
Author Tucker Knutson
Course  Business Statistics
Institution University of South Dakota
Pages 10
File Size 329.8 KB
File Type PDF
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Summary

syllabus is docx format...


Description

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BADM/ECON 220 N800T Business and Economic Statistics Summer 2018 credits Instructor Information Instructor: Email: Phone: Office: Office Hours:

Michelle Lesnar, MA [email protected] 605.626.7620 Lincoln Hall 119 Available by appointment only

Course Information Catalog Description: This course introduces students to basic statistical methods. Topics, with computer applications, include: descriptive statistics, probability, distributions, sampling, estimation and index numbers with emphasis on applications in business and economics. 3 credits Course Prerequisites: MATH 102, MATH 115, MATH 120, MATH 121, MATH 123, OR MATH 125 3 credits. Required Textbooks and Materials: Statistical Techniques in Business & Economics. 17th Edition. Lind, Douglas A., Marchal, Willaim G., Wathen, Samuel A. McGraw Hill, 2018. Response Time Expectations E-mail Response Times: It is my policy to respond to emails within 36 hours during weekdays. I will check my email once over the weekends or a holiday. Do not depend upon me answering an email on a Sunday. Instructional Methods The instructional methods used within this course include: Lecture Notes, PowerPoint Presentations, Short Lecture Videos Tools for Interaction The tools used for interacting with students include: Discussion Posts and Email

Summer 2018

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Attendance Policy Attendance is recorded on a weekly basis. Online course attendance is determined by the submission dates for: assignments, assessments, discussion postings, etc. Logging into D2L is insufficient to verify/validate attendance for online courses. Student Expectations It is vitally important that you play an active role in the learning process. As a result, your participation in class discussion threads is required. The 4 P’s of student involvement in class are: 1. Preparation (read the assigned material) 2. Presence (routinely log in to D2L class) 3. Promptness (post thoughts, ideas, comments, etc. regularly) and 4. Participation (get actively involved). The student is expected to participate in the course via e-mail exchanges (or other communication) with the instructor, by reading the assigned readings, submitting comments to the discussion forums, submitting assignments, and completing assignments in a timely fashion. Students are expected to check their e-mails daily and the announcements at least every 48 hours.

Evaluation and Assignments Syllabus Quiz:  There is a short quiz that must be completed during the first week of the class. The quiz will be posted under the Assessments Tab on D2L. Tests:  There will be 5 unit exams given throughout the semester. Exams will consist of short answer and problem solving questions. You are not to collaborate with others on exams. If you have questions, talk with me. You will need a calculator to assist you in solving problems.  Exams are also to be submitted on D2L to their appropriate dropbox. You will need to scan your work to submit it. One great tool is the CamScanner app. This free app will allow you to scan and save objects as PDFs. There are several other apps that convert pictures to pdfs. Quizzes:  There will be 12 multiple choice chapter quizzes. Quizzes are to be accessed under the Assessments Tab on D2L.  The quizzes will be worth 5-10 points each. Quizzes are not timed, you are allowed unlimited attempts, but only your first submission will be graded. You are free to stop

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Page |3 and resume progress, but be sure to save your answers. Pay attention to their due dates. Problems Sets:  There will be 5 unit problem sets that correspond to each unit’s readings.  Problem Sets can be found under content in their corresponding unit on D2L.  Problem Sets are worth 25 points each. o For full credit all work must be shown. “All work” means showing any equations and mathematical steps used to solve the problem, as well as the answer. Excel may be used as an aid, but work must still be shown. o Problem Sets are to be submitted on D2L to their appropriate dropbox. You will need to scan or take a picture of your work to submit it. One great tool is the CamScanner app. This free app will allow you to scan and save objects as PDFs. There are several other apps that convert pictures to pdfs. Discussion:  There will be 1 discussion, outside of the introduction post, this semester. Each student is required to post an original answer to the question. Each student will also be required to post a response to at least one (1) classmate’s post. Each discussion board is worth 25 points: 15 points for the initial post and 10 points for your substantive response to a classmate’s post. The discussion will take place on D2L. Breakdown: Assessment: Syllabus Quiz Intro Discussion Exams: Quizzes: Problem Sets: Discussion Total:

Point Value: 15 15 100 5-10 25 25

Total Points: 15 *Bonus 400 105 125 25 670 pts.

Grade Scale: A (90 – 100%) B (80 - 89%) C (70 – 79%) D (60 – 69%) F (< 60%)

603 and up 536 up to 603 469 up to 536 402 up to 469 Less than 402

Make-up/Late-work Policy:  Problem Sets: I will accept late submissions for partial credit. Answers to the problem sets are posted on D2L shortly after they are to be submitted for grading. Once the answers are posted online, the best you can score is a 12.5 out of 25 points.  Discussion: No late submissions will be accepted for credit.  Exams: Exams must be taken during the open examination period. The only exceptions to this rule are those students that will not have internet access because of a school related function, have scheduled a testing time with the disability services office, or have some valid extenuating circumstance arise. Individuals with a school related activity or whom plan to test with disability services must schedule their testing time in advance. Academic Success Support/Starfish As your instructor, I am personally committed to supporting YOUR academic success in this course. For that reason, if you demonstrate any academic performance or behavioral problems which may impede your success, I will personally discuss and attempt to resolve the issue with you. I may also refer your case using Starfish, which is an online student success program.

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Page |4 Starfish will allow me to send you various performance updates, concerns, and referrals. If you receive a “flag” in Starfish, please come see me or seek assistance and support from your advisor or other resource staff member on campus. Please make sure to update your Starfish profile at the beginning of each semester (including a photo and up-to-date contact information). The Starfish link is located in D2L at the very top left corner of the homepage. My goal is to make your learning experience in this course as meaningful and successful as possible. If you have questions regarding Starfish, please contact the Student Success Center at 605.626.2633 or [email protected]. Academic Dishonesty Cheating and other forms of academic dishonesty and misconduct run contrary to the purposes of higher education and will not be tolerated. Academic dishonesty includes, but is not limited to, plagiarism, copying answers or work done by another student (either on an exam or an assignment), allowing another student to copy from you, and using unauthorized materials during an exam. Northern State University's policy and procedures on cheating and academic dishonesty as outlined in the Northern State University Student Handbook apply to this course. The consequences for cheating and academic dishonesty in this class include receiving no or reduced credit for the assignment and failing the course. Students may also fail the course after receiving failing or reduced grades for affected assignments. Americans with Disabilities Act (ADA) Statement ADA Statement: Northern State University is committed to providing reasonable accommodation for students with physical, learning, mental health and/or other types of disabilities. Accommodations for students with disabilities are made only in consultation with the Director of Disability Services. If you believe you have a disability, either temporary or permanent, requiring accommodation, contact Doris Stusiak (contact information below). NSU can show you how to secure proper documentation and help you arrange appropriate accommodations as mandated by the Americans with Disabilities Act. Doris Stusiak, Director of Disability Services Student Center Room 240 – 2nd Floor Phone 605-626-2371 Fax 605-626-3399 Email [email protected] Diversity Statement Northern State University strives to build an academic community of people from diverse backgrounds and experiences who are committed to sharing diverse ideas in a mutually respectful environment. We value open discourse and consideration of multiple perspectives on issues of regional, national, and international importance, in which individuals are free to express their points of view. Our goal is a diverse learning community with equal opportunity for all.

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Page |5 Freedom in Learning Under Board of Regents and University policy student academic performance may be evaluated solely on an academic basis, not on opinions or conduct in matters unrelated to academic standards. Students should be free to take reasoned exception to the data or views offered in any course of study and to reserve judgment about matters of opinion, but they are responsible for learning the content of any course of study for which they are enrolled. Students who believe that an academic evaluation reflects prejudiced or capricious consideration of student opinions or conduct unrelated to academic standards should contact the academic dean administratively in charge of the class to initiate a review of the evaluation. Technical Support NET Services is your contact for any technical support, including Desire2Learn, needed for your course. Contact information is below. Phone: 1-605-626-2283 Email: [email protected] Location: Tech Center 148

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Course Goal: At the culmination of the semester students will have learned the basics of statistical estimation and analysis in relation to business decisions. Objectives: 1. Compute and interpret measures of central tendencies and measures of dispersion. 2. Construct visual representations of data sets. 3. Calculate probabilities for under discrete and continuous probability distributions. 4. Explain how to sample and define the central limit theorem. 5. Compute and interpret confidence intervals. 6. Conduct a test of a hypothesis about a population mean. 7. Construct an ANOVA table. 8. Construct a regression equation using the method of least squares

*All Modules open on May 14th. Work your way through from the Introduction to Unit 5. The problem sets, discussion boards, and quizzes all open on May 14th. Pay close attention to due dates and read all instructions. Exams will open on specific dates, as posted in this schedule below.

TOPICS

DATE

OBJECTIVES

ASSESSMENT DUE S

INTRODUCTION

Opens: May 14th

Students will recognize of the course outline, expectations, and due dates.

Syllabus Quiz Introduction Discussion

UNIT 1: Descriptive Statistics Readings:  Ch. 1: What is Statistics  Ch. 2: Describing Data Part: Frequency Tables, Frequency Distributions, and Graphic Presentations

Summer 2018

Opens: May 14th

Ch. 1: Explain why a knowledge of statistics is important. Differentiate between: descriptive and inferential statistics, qualitative and quantitative variables, and the four levels of measurement.

Ch. 2:

May 24th at 11:59 PM

Approximately 30 min. Problem Set 1 (Approximately 2.5 hours) Chapter Quizzes (Approximately 1 hour)

Problem Set and Quizzes due 5/30 at 11:59 PM

Page |7  Ch. 3: Describing Data: Numerical Measures  Ch. 4: Describing Data: Displaying & Exploring Data

Students will summarize qualitative and quantitative variables with frequency and relative frequency distributions.

Exam 1 (Approximately 45 minutes)

Exam: 6/1 – 6/3 closing at 11:59 PM

Chapter Quizzes (Approximately 1 hour)

Chapter quizzes due 6/8 at 11:59 PM

Problem Set 2 (Approximately 2 hours)

Problem Set 2 due 6/13 at 11:59 PM

Ch. 3: Students will be able to compute and interpret the mean, the median, and the mode. Students will be able to compute and interpret the range, variance, standard deviation, and covariance.

Ch. 4: Students will construct and interpret a dot plot, stem-and-leaf display, box plot, and scatter diagram. Students will identify and compute measures of position and skewness.

(Approximately 1.5 hours)

UNIT 2: Probability Theory Readings:  Ch. 5: A Survey of Probability Concepts  Ch. 6: Discrete Probability Distributions  Ch. 7: Continuous Probability Distributions

Opens: May 14th

Ch. 5: Define the terms probability, experiment, event, and outcome. Assign probabilities using a classical, empirical, or subjective approach. Calculate probabilities using the rules of addition and multiplication. Determine the number of outcomes using principles of counting.

Ch. 6:

Summer 2018

Exam 2 (Approximately 45 minutes)

Exam: 6/15 -6/17 closing at 11:59 PM

Page |8 Identify the characteristics of a probability distribution. Distinguish between discrete and continuous random variables. Compute the mean, variance, and standard deviation of a discrete probability distribution. Explain the assumptions of the binomial and Poisson distributions and apply them to calculate probabilities.

Ch. 7: Describe the characteristics of a normal probability distribution. Describe the standard normal probability distribution and use it to calculate probabilities.

UNIT 3: Sampling Distributions and Interval Estimation Readings:  Ch. 8: Sampling Methods and the Central Limit Theorem  Ch. 9: Estimation and Confidence Intervals

Opens: May 14th

Ch. 8: Explain why populations are sampled and describe four methods to sample a population. Define sampling error. Recite the central limit theorem and define the mean and standard error of a sampling distribution of the sample mean.

Ch. 9: Compute and interpret a point estimate of a population mean

Summer 2018

Chapter Quizzes (Approximately 1 hour)

Problem Set 3 (Approximately 2 hours)

Exam 3 (Approximately 25 minutes)

Chapter Quizzes due 6/22 at 11:59 PM Problem Set 3 due 6/27 at 11:59 PM

Exam: 6/29 – 7/1 closing at 11:59 PM

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Compute and interpret a confidence interval for a population mean.

Unit 4: Hypothesis Testing Readings:  Ch. 10: One Sample Test of Hypothesis  Ch. 11: Two Sample Test of Hypothesis  Ch. 12: Analysis of Variance

Opens: May 14th

Ch. 10: Define a hypothesis. Explain and apply the six-step procedure for testing a hypothesis. Distinguish between a one-tailed and two-tailed test of hypothesis. Conduct a test of a hypothesis about a population mean.

Discussion (Approximately 1 hour) Chapter Quizzes (Approximately 1 hour) Problem Set 4 (Approximately 2 hours)

Initial Discussion Post & Chapter quizzes due 7/6 at 11:59 PM Problem Set 4 & discussion responses due 7/11 at 11:59 PM

Use a t statistic to test a hypothesis.

Ch. 11: Test a hypothesis that two independent population means are equal, assuming that the population standard deviations are known and equal. Test a hypothesis that two independent population means are equal, with unknown population standard deviations. Test a hypothesis about the mean population difference between paired or dependent observations. Explain the difference between dependent and independent samples.

Summer 2018

Exam 4 (Approximately 45 minutes)

Exam: 7/13 – 7/15 closing at 11:59 PM

P a g e | 10 Ch. 12: Apply the F distribution to test a hypothesis that two population variances are equal. Use ANOVA to test a hypothesis that three or more population means are equal.

Unit 5: Correlation Analysis & Linear Regression Readings:  Ch. 13: Linear Regression Analysis  Ch. 14: Multiple Regressions and Correlation Analysis

Opens: May 14th

Ch. 13: Calculate a correlation coefficient to test and interpret the relationship between two variables. Apply regression analysis to estimate the linear relationship between two variables. Evaluate the significance of the slope of the regression equation. Evaluate a regression equation’s ability to predict.

Ch. 13: Students will use multiple regression analysis to describe and interpret a relationship between several independent variables and a dependent variable.

Summer 2018

Chapter Quizzes (Approximately 1 hour)

Chapter quizzes due 7/19 at 11:59 PM

Problem Set 5 (Approximately 2 hours)

Problem Set 5 due 7/22 at 11:59 PM

Exam 5 (Approximately 45 minutes)

Exam: 7/24 – 7/26 closing at 11:59 PM...


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