SR21 STA250(99) - Syllabus PDF

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Summary

Introduction to statistics as applied to the social sciences. Emphasis on the basic assumptions underlying statistical concepts and the role of statistics in the analysis and interpretation of data. Problems in frequency distribution, measures of location and variation, probability and sampling, tes...

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524W 59th Street, New York, NY 10019

Syllabus Summer 2021 (5W1: 06/07 – 07/13);

Title of Course and Section: STA 250 Principles and Methods of Statistics – Section 99 Instructor: Genesis Alberto PhD

Email: [email protected]

Office/Room No: Zoom *info on Bb*

Office Hours: By appointment

MFQR Website: https://jjay.cuny.edu/mfqr for review sheets, resources, and more STA 250 Workshop Series: https://jjay.cuny.edu/msrc for academic support, workshops, and more Online Homework Learning System: https://connectmath.com for homework activities (problems, readings, and videos), exams, labs, quizzes, and more *Registration steps on Bb* Class Code: RQL9A-4LVXQ Financial Aid Access Code: D60A8-23ECF-9535B-2E982

Asynchronous course instruction:. Class material will be delivered according to the calendar provided by the course instructor, but students are not expected to engage in real-time meetings with the faculty or class. See Blackboard for details. Textbook: Bluman, Elementary Statistics: A Step-by-Step Approach, 10th Edition. Students must set up an account with www.connectmath.com and purchase access to its contents to complete homework activities, exams, labs, and quizzes. The electronic version of the textbook is included with the purchase. If the student prefers a physical textbook, it can be purchased at the online college bookstore or borrowed at the library or MSRC. Make sure to receive a Connect Math Access Code with any physical textbook purchase. The textbook was written as an aid in the beginning statistics course to students whose mathematical background is limited to basic algebra. The book allows a nontheatrical approach without formal proofs, explaining concepts intuitively and supporting them with abundant examples. The applications span a broad range of topics certain appeal to the interests of students of diverse backgrounds, and they include problems in business, sports, health, architecture, education, entertainment, political science, psychology, history, criminal justice, the environment, transportation, physical sciences, demographics, eating habits, and travel and leisure. Course Description: Introduction to statistics as applied to the social sciences. Emphasis on the basic assumptions underlying statistical concepts and the role of statistics in the analysis and interpretation of data. Problems in frequency distribution, measures of location and variation, probability and sampling, tests of hypotheses and significance, linear regression and correlation, time series, and index numbers. Note: This course includes the use of SPSS software.

Prerequisite: ENG 101 and MAT 108 or MAT 141 OR Graduate Standing Learning Objectives: The main goal of this course is that students completing this course will become proficient in organizing and summarizing data, applying appropriate statistics, and understanding and interpreting the results of statistical tests. Students will demonstrate the ability to: • Interpret and draw inferences from mathematical models such as graphs, tables, and schematics. • Represent mathematical information symbolically, visually, numerically, and verbally. • Employ both qualitative and quantitative methods to solve problems. • Estimate and check mathematical results for reasonableness. • Recognize the limits of mathematical and statistical methods. Course Requirements Note: (for online courses) Laptop or desktop computer (with webcam and built-in microphone) with a stable internet connection will be required. 1. The student must have access to the internet, including an active Blackboard account. Blackboard will be used for communication and posting course materials, assignments, and web site links. 2. The student must register a Connect Math account on www.connectmath.com. 3. The student must spend at least 60 hours in Connect Math; that is, at least 12 hours per week. Student Responsibilities 1. Use Blackboard and keep John Jay email accounts active. 2. Keep John Jay email accounts accessible for new mail. Check and empty email periodically. 3. Communicate with faculty using their John Jay email. 4. Perform all lesson objectives, activities, and reading assignments. 5. Complete and submit in all assignments on or before their due date. 6. Demonstrate proficiency with all homework and written assignments. 7. Demonstrate a significant amount of critical thinking and analysis. Therefore, the student’s quantity and quality of participation will be factored into the grade. Online Assignments in Connect Math 1. Assignments must be the product of the student’s own research. 2. No student shall submit work that has been written by someone else or copied from an outside source. 3. No student shall submit work that has been previously submitted in either whole or part for academic credit. This is termed “self-plagiarism.” 4. Late assignments may not be accepted; if accepted, points will be deducted. 5. Students who engage in academic dishonesty will receive a grade of zero for the assignment. 6. Any violations of the academic integrity policy shall be referred to the Disciplinary Committee to determine if negative incentives or additional sanctions – including suspension or dismissal from the program – are warranted. 7. JJC Library offers workshops and aids on how to avoid plagiarism. Academic Support (Tutoring and Workshops) The Math & Science Resource Center (MSRC) serves as an Academic Support and Resource center for John Jay College undergraduate students enrolled in Math, Science, and Computer Science courses which is located at 1.94 NB (646-557-4635). Available services include tutoring, walk-in support, free resource borrowing, and computer lab. Students are encouraged to register and attend at least 4 curriculum-based workshop series for the course and may earn course credit of some kind for their attendance and work in the workshops.

2 Student Course Evaluations All John Jay College faculty are evaluated by students at the end of every fall, spring, and select summer

semesters for each of their courses. Students have the opportunity to provide anonymous feedback on their experiences in the course. “Student evaluations are important to our faculty; we take your comments seriously and value what you share with us about your learning experiences in the classroom. We use student feedback to strengthen our teaching practices and help us design courses that are strong, interesting, and in support of your goals as a lifelong learner. I become a better teacher each time I hear from my students and take into account what they have to say. Please complete these questionnaires thoughtfully and completely – and don’t forget to add your comments.” Departmental Policies for Math Foundation and Quantitative Reasoning Courses A. Attendance Policy 1. A student’s attendance and participation in the course will be accounted for via weekly submissions/activity on Blackboard and ConnectMath. Therefore all assignments are mandatory, including examinations. 2. If a student is absent from more than 15% of the classes (two weeks worth of assignments), the instructor may lower the grade or fail the student for excess absences. 3. Students who are not actively participating in the course (e.g., by submitting assignments, posting discussions, completing exams) and/or academically related activity will be dropped from the course or receive a failing grade. Note that logging into an online class is not sufficient, by itself, to demonstrate participation in an academically related activity. B. Blackboard Netiquette 1. Everyone deserves to be treated as a respected colleague. 2. Any behavior that is inappropriate in a traditional classroom is inappropriate in an online classroom. 3. Writing for an online class is formal writing. 4. Respect Privacy 5. Be an active participant in class discussions and activities. 6. Missing deadlines is rude. C. Examination Policy Note: All Examinations will be on ConnectMath. No external assistance allowed for the exams. 1. Exams are timed; they must be completed within the stated time frame. 2. Exams are available during a 24 hr window and must be completed within the availability period. 3. No credit will be given for questions left unanswered. 4. Students are responsible for correctly inputting their solutions into ConnetMath (double check your input for appropriate rounding) and following the instructions for each question. 5. All requests for make-up exams will be determined by the instructor, based upon the merits of the request, on a caseby-case basis. Submitting a request for a make-up exam does not guarantee that permission will be granted. 6. Exam grades will be in the ConnectMath gradebook upon submission. D. Departmental Final Exam Policy 1. If the student receives a grade below 40% on the final exam, the student will receive a failing grade, regardless of other scoring indicators. 2. If the student receives a grade of 40% or higher on the final exam but fails in other aspects of the coursework and has a failing average, the student will receive a failing grade. 40% is not passing, but it is the cut off score for course exit qualification. The student’s grade must still average out to be passing, assuming all minimum requirements are met.

3 College-wide Policies for Undergraduate Courses 1. Incomplete Grade Policy An INC grade may be given only to those students who would pass the course if they were to satisfactorily complete course requirements. It is within the discretion of the faculty member as to whether or not to give the grade of INC. The INC grade should only be given in consultation with the student. 2. Extra

Work During the Semester Any extra credit coursework opportunities during the semester for a student to improve his or her grade must be made available to all students at the same time. Furthermore, there is no obligation on the part of any instructor to offer extra credit work in any course. The term “extra credit work” refers to optional work that may be assigned by the instructor to all students in addition to the required work for the course that all students must complete. It is distinguished from substitute assignments or substitute work that may be assigned by the instructor to individual students, such as make up assignments to accommodate emergencies or to accommodate the special circumstances of individual students. 3. American with Disabilities Act (ADA) Policies Qualified students with disabilities will be provided reasonable academic accommodations if determined eligible by the Office of Accessibility Services (OAS). Prior to granting disability accommodations in this course, the instructor must receive written verification of a student’s eligibility from OAS which is located at L.66 NB (212-237-8031). It is the student’s responsibility to initiate contact with the office and to follow the established procedures for having the accommodation notice sent to the instructor. 4. Wellness and Student Resources Students experiencing any personal, medical, financial or familial distress, which may impede on their ability to fulfill the requirements of this course, are encouraged to visit the Wellness Center which is located at L.68 NB (212-237-8111). Available resources include Counseling Services, Health Services, Food Bank, and legal and tax aid through Single Stop. 5. Academic Integrity Academic Dishonesty is prohibited in The City University of New York and is punishable by penalties, including failing grades, suspension, and expulsion, as provided within the college. Students are responsible for upholding the academic integrity of the program by not participating either directly or indirectly in acts of cheating and by discouraging others from doing so. Students’ responsibilities include, but are not limited to, the following. No student shall: 1. Give or receive any assistance or communicate in a way with another student while an examination is in progress. 2. Use unauthorized notes, books or other materials during an examination. 3. Attempt to obtain or disseminate the content of any examination prior to its distribution by the proctor. 4. Procure or distribute answers to examinations in advance.

4 Grading Criteria ConnectMath Homework 25% ConnectMath Labs 15%* Attendance/Participation 15%* Exam 1 15%* Exam 2 15%* Departmental Final Examination 30%

*Lowest 15% will be dropped Grade Explanation

Numerical Percentage

Value Equivalents

A Excellent

4.0

93.0 – 100.0

A–

3.7

90.0 – 92.9

B+

3.3

87.1 – 89.9

B Good

3.0

83.0 – 87.0

B–

2.7

80.0 – 82.9

C+

2.3

77.1 – 79.9

C Satisfactory

2.0

73.0 – 77.0

C–

1.7

70.0 – 72.9

D+

1.3

67.1 – 69.9

D Passing

1.0

63.0 – 67.0

D–

0.7

60.0 – 62.9

F Failure/ Unsuccessful

0.0

Below 60.0

P Pass

–

–

Note: An F is not erased from a student’s transcript when the course is taken again and passed. WN Withdrew Never Attended: Failure to complete attendance activity on Blackboard during Week 1. WU Withdrew Unofficially: Inactivity in class, Blackboard, and/or ConnectMath. Helpful Notes & Reminders: - Check Blackboard for updated announcements, course calendar, and more. Check Connect Math for updated due dates. - Taking It Further and Review may include getting caught up, intertwining, review, or similar.

5 Asynchronous: Summer 2021 (5W1) Course Calendar (Tentative) STA250 Textbook: Bluman, Elementary Statistics: A Step by Step Approach, 10th Edition. Updated: 6/4 Wee k

Dates

1

6/7 6/13

2

Topic, Reading, and Study

CM/Bb

Introduction to Connect Math Hosted by ALEKS (asynchronous) 1-1 Descriptive and Inferential Statistics 1-2 Variables and Types of Data 1-3 Data Collection and Sampling Techniques 1-4 Experimental Design 1-5 Computers and Calculators 2-1 Organizing Data 2-2 Histograms, Frequency Polygons, and Ogives 2-3 Other Types of Graphs 3-1 Measures of Central Tendency 3-2 Measures of Variation 3-3 Measures of Position 3-4 Exploratory Data Analysis

Introduce yourself HW#1-3 Self Assessment (SA) Lab #1 Lab#1

6/14 – 6/20

4-1 Samples Spaces and Probability 4-2 The Addition Rules for Probability (using tables) 4-3 Multiplication Rules and Conditional Probability (using tables) 5-1 Probability Distributions (using tables) 6-1 Normal Distributions 6-2 Applications of the Normal Distribution 6-3 The Central Limit Theorem

Peer Intro. Reply HW#46 SA Lab #2 Lab #2

3

6/21 – 6/27

Taking It Further and Review (if time permits) Exam #1 7-1 Confidence Intervals for the Mean When Sigma Is Known 7-2 Confidence Intervals for the Mean When Sigma Is Unknown 8-1 Steps in Hypothesis Testing – Traditional Method 8-2 Z Test for a Mean 8-3 T Test for a Mean 8-6 Additional Topics Regarding Hypothesis Testing

SA Exam #1 HW#7-8 SA Lab #3 Lab#3

4

6/28 – 7/4

9-1 Testing the Difference Between Two Means: z Test 9-2 Testing the Difference Between Two Means (Indep. Samples): t Test 9-3 Testing the Difference Between Two Means: Dependent Samples Taking It Further and Review (if time permits) Exam #2

Persistence Post HW#9 SA Exam #2

5

7/5 – 7/11

10-1 Scatter Plots and Correlation 10-2 Regression 10-3 Coefficient of Determination and Standard Error of the Estimate 11-1 Test for Goodness of Fit 11-2 Tests Using Contingency Tables

6

7/12 – 7/13

Taking It Further and Review (if time permits) Final Exam

HW#10 SA Lab #4 Lab#4 HW#11 Persistence Reply SA Final Final Exam

Note: Mark the video folder on Blackboard as reviewed. The specific deadlines for ConnectMath are below:

HW blocks done in order o HW1o Lab #1: June 11 o Lab#2: June 18 instructions o Exam #1: June 22 HW6: June 21 o HW7-HW9: July 1 o o Lab#3: June 25 o Lab#4: July 6 o Exam#2: July 2 HW10-HW11: July 12 Check inputs and rounding Final Exam: July 13 o

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