Syllabus CQS 112 PDF

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Table of Contents CQS 112 (04): Statistics for Management (Spring 2019)...........................................................2 Instructor, Teaching Assistant (TA), Class Venue, Time, and Office Hours:...................2 Enrolling into the Course:.....................................................................................................2 Instructions to Download Tableau:......................................................................................2 Workload Expectations:........................................................................................................3 Disability-related Equal Access Accommodations..............................................................3 Deliverables....................................................................................................................................3 Exams:....................................................................................................................................3 Checkpoints and Due Dates:.................................................................................................3 Class Philosophy, Contents, Methods, and Learning Objectives..............................................3 The “Flipped” Class:.............................................................................................................3 Contents and Methods:.........................................................................................................4 Learning Objectives:.............................................................................................................5 Schedule & Checkpoint Due Dates..............................................................................................6 Grading and Grade Distribution..................................................................................................8 Appendix: How to Calculate Your Checkpoint Grade..............................................................9

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CQS 112 (04): Statistics for Management (Spring 2019) Instructor, Teaching Assistant (TA), Class Venue, Time, and Office Hours: Instructor: Subimal Chatterjee, [email protected], Office: Academic A-212, 607-777-2733 Class Location: AAG – 04 Computer Pods; Class Meetings: Wednesdays 11:40 to 1:05 Office Hours: Mondays and Wednesdays from 10:00 AM to 11:30 AM (Other times by appointments only) Teaching Assistants: Paul C Davis ([email protected]) and David Frid ([email protected]) Office: AAG – 12 Office Hours: TBA Enrolling into the Course: Acrobatiq is the name of the course portal. Sign in or create a student account at https://courses.acrobatiq.com On the My Courses page, click “Register for a course.” Your course is CQS 112 (04) - Statistics for Management Enter the course key CQS11204SPR20 You can purchase redemption codes ($70) directly from Acrobatiq with a credit card, PayPal, or use a 17-day free trial if you plan to use a pending financial aid refund. This payment covers the costs of all instructional materials. Instructions to Download Tableau: We will use Tableau in the first two weeks Download Tableau Desktop and Tableau Prep https://www.tableau.com/tft/activation Select each product download link to get started. When prompted, enter your school email address for Business E-mail and enter the name of your school for Organization. Activate with your product key: TCBU-8A7F-87E0-A709-1422

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Workload Expectations: This is a 4-credit with non-standard meeting times. There is a clear expectation that you will devote 12.5 hours every week to this class. The time includes class meetings, reading the course materials, completing the checkpoints and other assignments, meeting with the instructor, and preparing for the tests.

Disability-related Equal Access Accommodations Students requesting disability-related accommodations should register with the Services for Students with Disabilities office (SSD). They are the appropriate entity on campus to determine and authorize disability-related accommodations. The office is located in the University Union, room 119. Phone number 607-777-2686. For students already registered with SSD, please provide your academic accommodation letter as soon as possible so that we can discuss the implementation of your accommodations.

Deliverables Exams: The course portal opens on January 21, 2018. Exam 1 is scheduled on Wednesday, March 25 and the final exam (cumulative) is scheduled during the finals week (please keep a lookout for the announcement of the exact date and time). Checkpoints and Due Dates: You are required (individually) to complete the checkpoints by 8:00 AM EVERY WEDNESDAY (except as noted in the schedule). Completing the checkpoints ensures that you have read and understood the materials and you are ready to work on the in-class assignments. The system does not accept late assignments.

Class Philosophy, Contents, Methods, and Learning Objectives The “Flipped” Class: The Open Learning Initiative (OLI) of Carnegie Mellon University (currently run by Acrobatiq) created the contents for CQS 112. This class is a flipped-hybrid class. All materials are available at the Acrobatiq portal so that you can work at your own pace to understand the course materials. All students are responsible on reading the online materials and completing the assigned checkpoints for the week. We formally meet once a week (Mondays for Section 03) in a “flipped classroom” where I review the materials and solve problems together. 3|Page

Contents and Methods: The course introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. In addition, the course helps students gain an appreciation for the diverse applications of statistics and its relevance to their lives and fields of study. The course does not assume any prior knowledge in statistics and its only prerequisite is basic algebra. The course includes expository text, simulations, case studies, comprehension tests, interactive learning exercises, quizzes, checkpoints, and the Stat Tutor labs, spread across four units. As indicated in the schedule, only selected checkpoints count towards your final grade. The rest (learning exercises, quizzes, and Stat Tutor labs) are for you to self-test your learning (so do not ignore them). We skip Unit 1 and start with Unit 2. Unit 2, Exploratory Data Analysis has two parts – Examining Distributions and Examining Relationships. We skip Unit 3 (Producing Data) and go to Unit 4 (Probability) Unit 4 (Probability) acts as a “bridge” to the inference section and includes only those concepts necessary to support a conceptual understanding of the role of probability as the “machinery” behind inference. It culminates in a discussion of sampling distributions grounded in simulation. It has five modules, Probability Fundamentals, Finding probability of Events, Conditional probability and Independence, Random variables, and Sampling Distributions. We cover the first three modules through instructor videos and focus on the latter two in class. Unit 5 has four modules, (Estimation, Hypothesis Testing, and two modules on Inference for Relationships). This unit introduces students to the logic as well as the technical side of the main forms of inference: point estimation, interval estimation and hypothesis testing. The unit covers inferential methods for the population mean and population proportion, inferential methods for comparing the means of two groups and of more than two groups (ANOVA), the Chi-Square test for independence and linear regression. The unit reinforces the framework that the students learned in the Exploratory Data Analysis for choosing the appropriate, in this case, inferential method in various data analysis scenarios.

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Learning Objectives: Here are some selected learning objectives synced with the different modules:

Module

Learning Objectives

Module 6 – Random Variables



Distinguish between discrete and continuous random variables, find the probability distribution function of a discrete random variable and use it to find probabilities, and find probabilities associated with the normal distribution.

Module 7 – Sampling Distribution



Distinguish between a parameter and a statistic, determine the sampling distribution of the sample proportion and the sample mean in a given situation and apply it to determine likelihoods.



Determine the connection between the sampling distribution of a statistic, and its properties as a point estimator, calculate interpret the confidence interval for the population mean μ and population proportion, p, and recognize the effect of level of confidence and sample size on the precision of the interval estimation.



Determine the hypotheses, interpret the p-value and draw conclusions, carry out the hypothesis test for the population proportion and population mean and draw conclusions in context, determine the likelihood of making type I and type II errors, and explain how to reduce them, in context.



Identify and distinguish among cases where independent samples, matched pairs, and ANOVA are appropriate, carry out the two-sample t-test and the paired t-test for comparing two population means when appropriate and draw meaningful conclusions, carry out the ANOVA procedure or comparing more than two population means, carry out the chi-square test for the independence of two categorical variables and draw meaningful conclusions, and perform inference for the linear relationship between quantitative variables

Module 8 Estimation

Module 9 – Hypothesis Testing

Module 10 – Inference for Relationship s

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Schedule & Checkpoint Due Dates Date

Topics

January 22 (WED)



January 29 (WED)

Exploratory Data Analysis  Examining Distributions; Summary and Graphical Displays; Numerical Measures of Center and Spread

February 5 (WED)

Exploratory Data Analysis  Examining Relationships between Categorical and Quantitative variables and between Quantitative variables; Graphical Displays; Correlation Coefficients and Least squares Regression Lines



February 12 (WED)

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Introduction to the class  

Acrobatiq Unit 2, Module 1 – Two Checkpoints, due by 8:00 AM, January 29 1. Examining Distributions 1 2. Examining Distributions 2

 

Acrobatiq Unit 2, Module 2 Two Checkpoints, due by 8:00 AM, February 5 1. Examining Relationships 1 2. Examining Relationships 2

Please watch the three part Probability Lecture Videos in MyCourses at this point Random Variables  Discrete and Continuous Random Variables; Normal Distributions and Standardizing values; Working with nonstandard normal values



Sampling Distributions o Parameters vs. Statistics; Sampling Distribution of the Sample Proportion and the Sample Mean



Inference o Module 8 – Point and Interval Estimation; Confidence Interval for the Population Mean and Population Proportion

February 19 (WED)

February 26 (WED)

Acrobatiq / Checkpoints Due

 

Acrobatiq Unit 4, Module 8 Four Checkpoints, due by 8:00 AM, February 12 1. Random Variables 1 2. Random Variables 2 3. Random Variables 3 4. Random Variables 4

 

Acrobatiq Unit 4, Module 9 TWO Checkpoints, due by 8:00 AM, February 19 1. Sampling Distributions 1 2. Sampling Distributions 2



One Checkpoint, due by 8:00 AM, February 26 1. Estimation

 March 4 (WED)

Inference o Module 9 – Hypothesis Testing – General Ideas; Details and Terminology; Hypothesis Testing for the Population Proportion



Two Checkpoints, due by 8:00 AM, March 4 1. Overview 2. Hypothesis Testing for a Population Proportion



Three Checkpoints, due by 8:00 AM, March 11 1. Hypothesis Testing for a Population Mean 2. Hypothesis Testing Checkpoint 3. Type I and Type II Errors



Inference o Module 9 – Hypothesis Testing for the Population Mean; Type I and Type II Errors

March 18 (WED)



Review Exam 1



No Checkpoints Due

March 25 (WED)



Exam 1 (50 points)



No Checkpoints Due



Inference o Module 10 – Inference for Relationships; The Two-sample tTest; Matched pairs and the Paired t-Test



Two Checkpoints, due by 8:00 AM, April 1 1. Two Independent Samples 2. Matched Pairs



No Class 0 Spring Break



Inference o Module 10 – Inference for Relationships; Single Factor ANOVA o Module 11 – Inference for Relationships (Continued); ChiSquare Tests for Independence

March 11 (WED)

April 1 (WED)

April 8 (WED)

April 15 (WED)

April 22 (WED) April 29 (WED)

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 

Inference Module 11 – Inference for Relationships (Continued); Simple and Multiple Regressions



Final Exam Review (03)

No Checkpoints Due



Two Checkpoints, due by 8:00 AM, April 15 1. ANOVA 2. Case C → Q



One Checkpoint, due by 8:00 AM, April 22 1. Case C → C and Q → Q



No Checkpoints Due

Grading and Grade Distribution Graded Checkpoints (21 checkpoints, 117 questions): Mid Term: Cumulative Final Exam:

Scaled to 100 points 50 points 100 points

Total:

250 points

A: B+:

237 (95%) or more; 212 (85%) to 224;

A−: B:

225 (90%) to 236; 200 (80%) to 211;

ANY GRADE BELOW B INDICATES THAT YOU HAVE NOT UNDERSTOOD THE MATERIALS AND SHOULD GO OVER THE ACROBATIQ CONTENTS AGAIN IN SUMMER B−: C: Fail:

187 (75%) to 199; 162 (65%) to 174; Below 150

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C+: C−:

175 (70%) to 186; 150 (60%) to 161;

Appendix: How to Calculate Your Checkpoint Grade

Checkpoint Examining Distributions - 1 Examining Distributions - 2 Examining Relationships - 1 Examining Relationships - 2 Random Variables - 1 Random Variables - 2 Random Variables - 3 Random Variables - 4 Sampling Distributions - 1 Sampling Distributions - 2 Estimation Overview Hypothesis Testing for a Population Proportion Hypothesis Testing for a Population Mean Hypothesis Testing Type I and Type II Two Independent Samples Matched Pairs ANOVA Case C→Q Case C→C and Q→Q Total

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# Question s 6 7 5 7 4 2 3 4 6 5 7 5 3 8 7 6 5 7 4 9 7 117

Weight 0.051 0.060 0.043 0.060 0.034 0.017 0.026 0.034 0.051 0.043 0.060 0.043 0.026 0.068 0.060 0.051 0.043 0.060 0.034 0.077 0.060 1

# Correct (Example ) 5 6 5 7 3 2 2 3 5 5 6 5 2 7 7 6 5 6 3 8 6 104

Acrobatiq Score

Weighted Score

83% 86% 100% 100% 75% 100% 67% 75% 83% 100% 86% 100% 67% 88% 100% 100% 100% 86% 75% 89% 86% 88.89%

4.27% 5.13% 4.27% 5.98% 2.56% 1.71% 1.71% 2.56% 4.27% 4.27% 5.13% 4.27% 1.71% 5.98% 5.98% 5.13% 4.27% 5.13% 2.56% 6.84% 5.13% 88.89%...