hunter college of cuny stat 113 elementary probability...

Hunter College of CUNY STAT 113 ELEMENTARY PROBABILITY AND STATISTICS Spring 2020 SYLLABUS Course Description: An Introduction to applied statistics and statistical computing. Hands-on data analysis. Graphical inference. The five number summary, box plots, scatterplots, normal probability plots. Elementary probability. Statistical estimation and hypothesis testing. Linear regression. Students are expected to analyze real data sets and write reports. Expected Learning Outcomes:

At the end of the course, students in STAT 113 will be able to • demonstrate an understanding of basic Probability and Statistics

o Interpret and draw appropriate inferences from quantitative representations, such as formulas, graphs, or tables. o Use algebraic, numerical, graphical, or statistical methods to draw accurate conclusions and solve mathematical/statistical

problems. o Represent quantitative problems expressed in natural language in a suitable mathematical/statistical format. o Effectively communicate quantitative analysis or solutions to mathematical and statistical problems in written or oral form. o Evaluate solutions to problems for reasonableness using a variety of means, including informed estimation. o Apply mathematical/statistical methods to problems in other fields of study.

• use a computer-based data-analysis package to analyze data and • write reports on analyses using non-technical language.

Section: 11300.xxINSTRUCTORS, PLEASE PUT YOUR INFORMATION HERE AND EDIT YOUR SITE SO THE ASK MY INSTRUCTOR QUESTIONS GO TO YOU AND NOT TO ME. Course Days: Monday and Thursday Time: XXXXXXXXXXXXX Room: XXXXXXX Instructor:XXXXXXXX Email:XXXXXXXX Office Hours: XXXXXX PLEASE HOLD YOUR OFFICE HOURS IN THE DOLCIANI CENTER IF POSSIBLE. SEND YOUR INTENDED HOURS TO [email protected] AND SHE WILL CONFIRM. Department Office: 919 HE; Department Chairperson: Prof. Barry Cherkas, [email protected] Course Coordinators: Prof. Sandra Clarkson, [email protected]; Prof. Bill Williams, [email protected] Prerequisites: C or better in MATH 101 or equivalent; Pre or Co-Req ENGL 120. Or permission of the Statistics Advisor. Your Course Sites: Blackboard and Pearson.com You will need to purchase: Access to Pearson $69.99. Your instructor will give you the details.

COURSE OUTLINE

Unit Objective

DUE ON THIS CLASS

DAY at 11:59pm

You should write the actual dates here to help remind you when things

are due. CH1 DATA COLLECTION

1,1 Introduction to the Practice of Statistics 1 Define statistics and statistical and statistical thinking 3 2 Explain the process of statistics 3 3 Distinguish between qualitative and quantitative variables 3 4 Distinguish between discrete and continuous variables 3 5 Determine the level of measurement of a variable 3

1,2 Observational Studies versus Designed Experiments 1 Distinguish between an observational study and an experiment 3

1,3 Simple Random Sampling 1 Obtain a simple random sample 3

1,5 Other Effective Sampling Methods 1 Explaining the sources of bias in sampling 3

1,6 The Design of Experiments 1 Describe the characteristics of an experiment 3 2 Explain the steps in designing an experiment 3

CH 1

End of Chapter Review Quiz 1 starts on Day 3; all quizzes are done at home; you will have 60 minutes for the quiz. You may take the quiz three(3) times. Only the highest grade is counted. The lowest three(3) quiz grades (out of the 15 required) are dropped at the end of the semester. *4*

CH 1 Concept HW *6* CH2 ORGANIZING AND SUMMARIZING DATA 2,1 Organizing Qualitative Data

1 Organize qualitative data in tables 4 2 Construct bar graphs 4

3 Construct pie charts 4 2,2 Organizing Quantitative Data: The Popular Displays 1 Organize discrete data in tables 4

2 Construct histograms of discrete data 4 3 Organize continuous data in tables 4 4 Construct histograms of continous data 4 5 Draw dot plots 4 6 Identify the shape of a distribution 4 2,3 Additional Displays of Quantitative Data 1 Draw stem-and-leaf plots 4

3 Create cumulative frequency and relative frequency distributions 4 CH 2 End of Chapter Review Quiz 2 starts on Day 4 *5* CH 2 Concept HW *6* CH3 NUMERICALLY SUMMARIZING DATA 3,1 Measures of Central Tendency 1 Determine the arithmetic mean of a variable from raw data. 5 2 Determine the median of a variable from raw data 5 3 Explain what it means for a statistic to be resistant 5

4 Determine the mode of a variable from raw data 5 3,2 Measures of Dispersion 1 Determine the range of a variable from raw data 5 2 Determine the standard deviation of a variable from raw data 5 3 Determine the variance of a variable from raw data 5

4 Use the empirical rule to describe data that are bell-shaped 5 3,4 Measures of Position 1 Determine and interpret z-scores 5 2 Interpret percentiles 5 3 Determine and interpret quartiles 5

4 Determine and interpret the interquartile range 5 5 Check a set of data for outliers 5 3,5 The Five-Number Summary and Boxplots 1 Determine the five-number summary 5 2 Draw and interpret boxplots 5 CH 3 End of Chapter Review Quiz 3 starts on Day 5 *6*

CH 3 Concept HW *6*

THE *CALENDAR* DAY BEFORE EACH EXAM IS THE LAST DAY YOU CAN SUBMIT LATE HOMEWORKS, QUIZZES, ETC. FOR THE CHAPTERS COVERED BY THE EXAM. THERE IS A PENALTY OF 10% FOR SUBMITTING ON THIS DAY. GET THINGS IN ON TIME IF YOU POSSIBLY CAN TO MAXIMIZE YOUR FINAL GRADE.

EXAM 1 Chapters 1-3; all exams are done in-class unless you have an appointment with AccessABILITY. 7

DATA DAY 1

In Class Activity: All work is due at the end of the class. Work turned in later will not get full points. 8

CH5 PROBABILITY 5,1 Probability Rules 1 Understand random processes and the law of large numbers 8 2 Apply the rules of probabilities 8

3 Compute and interpret probabilities using the empirical method 8 4 Compute and interpret probabilities using the classical method 8 5,2 The Addition Rule and Complements 1 Use the Addition Rule for disjoint events 8 2 Use the General Addition Rule 8 3 Compute the probability of an event using the Complement Rule 8

5,3 Independence and the Multiplication Rule

1 Identify independent events 8

2 Use the multiplication rule for independent events 8

3 Compute at-least probabilities 8 5,4 Conditional Probability and the General Multiplication Rule

1 Compute conditional probabilities 8 2 Compute probabilities using the General Multiplication Rule 8

5,5 Counting Techniques

1 Solve counting problems using the Multiplication Rule 8 2 Solve counting problems using permutations 8 3 Solve counting problems using combinations 8 CH 5 End of Chapter Review Quiz 4 starts on Day 8 *9* CH 5 Concept HW *11* CH6 DISCRETE PROBABILITY DISTRIBUTIONS 6,1 Discrete Random Variables 1 Distinguish between discrete and continuous random variables. 9

2 Identify discrete probability distributions 9 4 Compute and interpret the mean of a discrete random variable 9

5 Interpret the mean of a discrete random variable as an expected value 9

6 Compute the standard deviation of a discrete random variable 9 6,2 The Binomial Probability Distribution

1 Determine whether a probability experiment is a binomial experiment 9

2 Compute probabilities of binomial experiments 9

3 Compute the mean and standard deviation of a binomial random variable 9

CH 6 End of Chapter Review Quiz 5 starts on Day 9 *10* CH 6 Concept HW *11*

CH7 THE NORMAL PROBABILITY DISRIBUTION 7,1 Properties of the Normal Distribution 1 Use the uniform probability distribution 10

2 Graph a normal curve 10 3 State the properties of the normal curve 10 4 Explain the role of area in the normal density function 10

7,2 Applications of the Normal Distribution 1 Find and interpret the area under a normal curve 10 2 Find the value of a normal random variable 10 7,4 The Normal Approximation to the Binomial Probability Distribution 1 Approximate binomial probabilities using the normal distribution 10 CH 7 End of Chapter Review Quiz 6 starts on Day 10 *11* CH 7 Concept HW *11* EXAM 2 Chapters 5 - 7 13 DATA DAY 2 In Class Activity 14

CH8 SAMPLING DISTRIBUTIONS 8,1 Distribution of the Sample Mean 1 Describe the distribution of the sample mean: normal population 14

2 Describe the distribution of the sample mean: non-normal population 14

8,2 Distribution of the Sample Proportion 1 Describe the sampling distributions of a sample proportion 14

2 Compute probabilities of a sample proportion 14


CH9 ESTIMATING THE VALUE OF A PARAMETER 9,1 Estimating a Population Proportion 1 Obtain a point estimate for the population proportion 15

2 Construct and interpret a confidence interval for the population proportion 15

3 Find the sample size needed for estimating a population proportion within a given margin of error 15

9,2 Estimating a Population Mean 1 Obtain a point estimate for the population mean 15

2 State properties of Student's t-distribution 15 3 Determine t-values 15 4 Construct and interpret a confidence interval for a population mean 15

5 Find the sample size needed for estimating a population mean within a given margin of error 15

9,3 Putting it Together: Which Procedure Do I Use? 1 Determine the appropriate confidence interval to construct 15 CH 9 End of Chapter Review Quiz 8 starts on Day 15 *16*

CH 9 Concept HW *19* CH10 HYPOTHESIS TESTS REGARDING A PARAMETER 10,1 The Language of Hypothesis Testing 1 Determine the null and alternative hypotheses 16 2 Explain Type I and Type II errors 16 3 State conclusions to hypothesis tests 16 10,2 Hypothesis Tests for a Population Proportion 1 Explain the logic of hypothesis testing 16 2 Test hypotheses about a population proportion 16

10,3 Hypothesis Tests for a Population Mean 1 Test hypotheses about a mean 16

2 Explain the difference between statistical significance and practical significance. 16

10,4 Putting it Together: Which Procedure Do I Use? 1 Determine the appropriate hypothesis test to perform 16 CH 10 End of Chapter Review Quiz 9 starts on Day 16 *17* CH 10 Concept HW *19* CH4 DESCRIBING THE RELATION BETWEEN TWO VARIABLES

4,4 Contingency Tables and Association 1 Compute the marginal distribution of a variable 17

2 Use the conditional distribution to identify association among categorical data 17


CH12 INFERENCE ON CATEGORICAL DATA

12,1 Goodness-of-Fit Test 1 Perform a goodness-of-fit test 18

12,2 Tests for Independence and the Homogeneity of Proportions 1 Perform a test for independence 18 2 Perform a test for homogeneity of proportions 18 CH 12 End of Chapter Review Quiz 11 starts on Day 18 *19*

CH 12 Concept HW *19*

EXAM 3 Chapters 8 - 10; 12; Section 4.4; THIS IS THE FIRST CLASS AFTER SPRING BREAK. DON’T FORGET TO STUDY! 21

DATA DAY 3 In Class Activity 22 CH11 INFERENCES ON TWO SAMPLES 11,1 Inference About Two Proportions 1 Distinguish between independent and dependent sampling 22 11,2 Inference About Two Means: Dependent Samples 1 Test hypotheses for a population mean from matched-pairs data 22

2 Construct and interpret confidence intervals about the population mean difference of matched-pairs data 22

11,3 Inference About Two Means: Independent Samples

1 Test hypotheses regarding the difference of two independent means 22

2 Construct and interpret confidence intervals about the difference of two independent means 22

11,4 Putting It Together: Which Procedure Do I Use? 1 Determine the appropriate hypothesis test to perform 22 CH 11 End of Chapter Review Quiz 12 starts on Day 22 22

CH 11 Concept HW 22 CH13 COMPARING THREE OR MORE MEANS

13,1 Comparing Three or More Means (One-Way Analysis of Variance) 1 Verify the requirements to perform a one-way ANOVA 23

2 Test hypotheses regarding the difference of three or more means using ANOVA 23

13,2 Post Hoc Tests on One-Way Analysis of Variance 1 Use the Tukey Test 23 CH 13 End of Chapter Review Quiz 13 starts on Day 23 *24* CH 13 Concept HW *26* CH4 DESCRIBING THE RELATION BETWEEN TWO VARIABLES 4,1 Scatter Diagrams and Correlation 1 Draw and interpret scatter diagrams 24

2 Describe the properties of the linear correlation coefficient 24 3 Compute and interpret the linear correlation coefficient 24

4 Determine whether a linear relation exists between two variables 24 5 Explain the difference between correlation and causation 24

4,2 Least-Squares Regression

1 Find the least-squares regression line and use the line to make predictions 24

2 Interpret the slope and the y-intercept of the least-squares regression line 24

3 Compute the sum of squared residuals 24 4,3 Diagnostics on the Least-Squares Regression Line

1 Compute and interpret the coefficient of determination 24 CH 4 End of Chapter Review Quiz 14 starts on Day 24 *25* CH 4 Concept HW *26* CH14 INFERENCES OF THE LEAST SQUARES REGRESSION MODEL 14,1 Testing the Significance of the Least Squares Regression Model 1 State the requirements of the least-squares regression moel. 25

2 Conduct an inference on the slope. 25

3 Construct a confidence interval about the slope of the lease-squares regression model. 25

14,2 Confidence and Prediction Intervals 1 Construct confidence intervals for a mean response. 25 CH 14 End of Chapter Review Quiz 15 starts on Day 25 *26* CH 14 Concept HW *26* DATA DAY 4 In Class Activity 27 EXAM 4 Chapters 11; 13-14; Sections 4.1-4.3 28

Unit Objective

DUE ON THIS CLASS

DAY at 11:59pm

You should write the actual dates here to help remind you when things

are due. CH1 DATA COLLECTION

1,1 Introduction to the Practice of Statistics 1 Define statistics and statistical and statistical thinking 3

2 Explain the process of statistics 3 3 Distinguish between qualitative and quantitative variables 3

4 Distinguish between discrete and continuous variables 3

5 Determine the level of measurement of a variable 3 1,2 Observational Studies versus Designed Experiments 1 Distinguish between an observational study and an experiment 3 1,3 Simple Random Sampling 1 Obtain a simple random sample 3 1,5 Other Effective Sampling Methods

Course Dates:

Class Meetings MTH

27-Jan Monday 1: Course Introduction 28-Jan Tuesday 29-Jan Wednesday 30-Jan Thursday Class 2 31-Jan Friday 01-Feb Saturday 02-Feb SUNDAY 03-Feb Monday 3: CH1 due; Q1 opens 04-Feb Tuesday 05-Feb Wednesday 06-Feb Thursday 4: CH2 due; Q1 closes;Q2 opens 07-Feb Friday 08-Feb Saturday 09-Feb SUNDAY 10-Feb Monday 5: CH3 due; Q2 closes; Q3 opens 11-Feb Tuesday 12-Feb Wednesday

13-Feb Thursday 6: Q3 closes; Concept Homework (CHW#1, 2, &3) due

14-Feb Friday

15-Feb Saturday

16-Feb SUNDAY 17-Feb Monday No Class 18-Feb Tuesday

19-Feb Wednesday Last Day for Late Homework or Quizzes (with penalty)

20-Feb Thursday 7: EXAM 1 21-Feb Friday 22-Feb Saturday 23-Feb SUNDAY 24-Feb Monday 8: DataDay; CH 5 due; Q4 opens 25-Feb Tuesday 26-Feb Wednesday 27-Feb Thursday 9: CH6 due; Q4 closes; Q5 opens 28-Feb Friday 29-Feb Saturday

01-Mar SUNDAY

02-Mar Monday 10: CH7 due; Q5 closes; Q6 opens

03-Mar Tuesday

04-Mar Wednesday

05-Mar Thursday 11: Q6 closes; CHW#5, 6 & 7 due

06-Mar Friday

07-Mar Saturday

08-Mar SUNDAY

09-Mar Monday 12: Use this day to catch up or move

ahead. Get ready for Exam 2 10-Mar Tuesday

11-Mar Wednesday Last Day for Late Homework or Quizzes

(with penalty) 12-Mar Thursday 13: EXAM 2

13-Mar Friday

14-Mar Saturday

15-Mar SUNDAY

16-Mar Monday 14: DataDay; CH8 due; Q7 opens

17-Mar Tuesday

18-Mar Wednesday

19-Mar Thursday 15: CH9 due; Q7 closes; Q8 opens

20-Mar Friday

21-Mar Saturday

22-Mar SUNDAY


24-Mar Tuesday

25-Mar Wednesday

26-Mar Thursday 17: Section 4.4 due; Q9 closes; Q10 opens

27-Mar Friday

28-Mar Saturday

29-Mar SUNDAY


31-Mar Tuesday

01-Apr Wednesday 02-Apr Thursday 19: Q11 closes; CHW8, 9, 10 & 12 due 03-Apr Friday 04-Apr Saturday 05-Apr SUNDAY 06-Apr Monday 20 07-Apr Tuesday Wednesday Schedule 08-Apr Wednesday NC 09-Apr Thursday NC 10-Apr Friday NC 11-Apr Saturday NC 12-Apr SUNDAY NC 13-Apr Monday NC 14-Apr Tuesday NC 15-Apr Wednesday NC

16-Apr Thursday NC 17-Apr Friday 18-Apr Saturday

19-Apr SUNDAY Last Day for Late Homework or Quizzes (with penalty)

20-Apr Monday 21: EXAM 3 21-Apr Tuesday 22-Apr Wednesday 23-Apr Thursday 22: CHDATA Day; CH11 due; Q12 opens 24-Apr Friday 25-Apr Saturday 26-Apr SUNDAY 27-Apr Monday 23: CH13 due; Q12 closes; Q13 opens 28-Apr Tuesday 29-Apr Wednesday

30-Apr Thursday 24: Sections 4.1, 4.2 & 4.3 due; Q13 closes; Q14 opens

01-May Friday

02-May Saturday

03-May SUNDAY

04-May Monday 25: C14 due; Q14 closes; Q15 opens

05-May Tuesday

06-May Wednesday

07-May Thursday 26: Q15 closes; CHW 4, 11, 13 & 14 due

08-May Friday

09-May Saturday

10-May SUNDAY

11-May Monday 27: Data Challenge

12-May Tuesday

13-May Wednesday Last Day for Late Homework or Quizzes

(with penalty) 14-

May Thursday 28: EXAM 4

IMPORTANT: Required Course Work. This course is very time intensive. For each hour you spend in class, you are expected to spend another three hours outside of class working on the material. However, depending on your level of preparation, you may have to spend more time in order to progress satisfactorily or you may spend less time because you come in knowing a lot. Each assignement has a due date. Missing a due date has consequences. Hard work is important but it does not guarantee you a grade. If you find you are not progressing as you would like, it is up to you to seek more help from your instructor or from the Dolciani Mathematics Center. Do not fall behind. We built in a little extra time in the beginning so you can get used to the pace. The end of the course is very packed, however, so you will want to work ahead. CLASS RULES: The computers in the classroom are to be use for work in Pearson and on data and statistics. The classroom isn't for shopping or email or any other purpose. No food or beverage other than a capped water bottle is allowed in the classroom. If you bring breakfast, finish it outside the classroom. During class, if you have to take a phone call, get up and go out of class to do that. If you need to use the restroom, quietly leave and reenter the classroom. You may talk or work with other students on classwork other than on Data Days where you will be told explicitly what interaction is allowed. EXAM RULES: Allowed on your desk: a four function or scientific calculator, a bottle of water (with no definitions/formulas/statistics hints written on the label); a booklet of formulas and tables given to you by your instructor (you will return it at the end of the exam time);no phones allowed on the desk.

OTHER EXAM RULES: Most of you will not need to read further because you have learned proper exam protocol. However, if there is any chance that you might not know exactly how to conduct yourself during an exam, feel free to read this obnoxious add on. It is made necessary because all of the following rules have been violated by students in previous semesters. No food or beverage other than a capped water bottle is allowed in the classroom. If you bring breakfast, finish it outside the classroom. Bathroom Breaks: GO BEFORE YOU START THE EXAM. Once you start the exam, you may not leave the class and resume your exam. If you have any condition on the day of the exam that would require a bathroom break in the middle, bring a doctor's note and we will delay your exam until your condition no longer requires this. If you have a chronic condition that would require this, bring documentation and register with AccessABILITY. Verification of Attendance: Your instructor will have a sign in sheet for you to sign on the day of the exam. If your (printed) name and signature is NOT on the sheet, your exam will NOT be counted and you may be subject to a disciplinary action. Specifically, you MUST be in the classroom (or AccessABILITY testing center or sitting with your instructor) to take an exam. Exams cannot be taken at home, in the Library or anywhere else. Computer Access: During the test, you are not allowed to access any other screen other than that of the actual exam. If there is any evidence that you have done that, your exam will be voided and you will be subject to disciplinary action. Scrap paper: You may not bring your own. You will be supplied with a booklet that has tables and necessary formulas for the course. You may write on the booklets. Put your name and Instructor's name on the booklet. Failure to turn it in at the end of the class will result in 5 points deducted from your grade. Grading Policy.

Homework 40% Homework completed by the due date and time gets full credit. Homework completed by the day before the exam for that section but after the due date loses 10% of the grade. No homework is accepted after that time without permission of both your instructor and the coordinator. WHAT COUNTS AS HOMEWORK? The Interactive Exercises, assigned section Homework and Concept Homework are all counted as homework.

Quizzes 10% You will take quizzes throughout the course. The quizzes will be taken at home. Study for them like they are real exams. They are to let you know what you know and what you still need to work on before you take your exam. The quizzes can be taken 3 times, as long as it is done by the due date. Only your highest score counts. The lowest three quiz grades (out of 15 assigned quizzes) will be dropped at the end of the semester. The quizzes count 10% of your grade. You can review your quizzes after the due dates to help you prepare for the exams.

Tests 30%

There are four (4) exams on the material you are covering in Pearson. See the syllabus summary for dates. The tests count 30% of the grade altogether. The lowest score is dropped.

Data Days 10% You will be using StatCrunch to analyze things in class during the semester so you will be somewhat familiar with it. There are four days when you will be engaging with data in the way a statistician does. At the end of the semester,

you will be given a small data set and asked to analyze it and write up what you found. The data part of the course counts 10% of your grade.

Final Exam 10% The final exam date will likely be on Friday, May 15 for Day classes from 3-5:00pm, on May 16 for Saturday classes and on the exam date scheduled by the college for classes meeting after 4pm. If there are any changes, you will receive that information in writing. In the meantime, don't schedule a trip that starts before your likely exam. This exam is 10% of the final grade.

EXTRA CREDIT 0-5 points

Even though the STUDY PLAN does not count for your grade, it is a very helpful way to identify what you know and what you still need to work on. If you are a student who needs to get a particular grade for your major, it would be very wise for you to utilize the STUDY PLAN on a regular basis. The work you do is recorded by the Pearson system and it determines your extra credit points. So, if you get a 50% overall on the Study Plan, you will get 2.5 additional points added to your final grade. Up to five(5) points total is available for extra credit.

Letter grades are determined by the standard Hunter College system of grading. Attendance Attendance is required and there will be an attendance sheet every class. Your instructor may use multiple ways to help you learn the material, including short lectures, work sheets, classroom activity. Calculators Scientific Calculators are allowed during the exams. Graphing calculators, phones and tablets are not allowed during exams. StatCrunch is not allowed during exams. Excel is not allowed during exams. If you have to do calculations by hand (using a calculator if you wish) on the Quizzes, expect to do the same kind of calculations on the exam. Tutoring Drop-in tutoring and audiovisual materials are available at the Dolciani Mathematics Learning Center, located at the Silverstein Student Success Center 7th Floor Hunter East. STAT113 STUDENTS: 1) It is your responsibility to have a working email address and to have access to Blackboard. See staff in 300 HN if there is a problem. It is your responsibility to check your email regularly for messages from your instructor. 2) Use of the cell phone is prohibited during class sessions. Keep it in your bag or go outside the classroom for personal use. 3) On the in-class exams, you may only use aspects of the computer that are allowed by your instructor. The instructor is able to see what is on your computer screen from his/her terminal in the front of the room. 4) You should make use of all your time. If your instructor completes a lecture or if you complete classwork before the end of class, log into PearsonMyLabsandMastering and work on the material during class. 5) There are four(4) exams and the final. There are no make-up exams this semester. We will drop the lowest grade, so if you miss an exam, that is the grade that is dropped. If you miss two exams, one is dropped, the other is a zero. If you miss an exam and desire a CR/NC grade, that will have to be approved by both your instructor and the coordinator and will only be allowed in extraordinary circumstances. 6) You will be using StatCrunch to analyze things in class during the semester so you will be somewhat familiar with it. There are four days when you will be engaging with data in the way a statistician does. At the end of the semester, you will be given a small data set and asked to analyze it and write up what you found. The data part of the course counts 10% of your grade. 7) Grades: Details of regular letter grading appears earlier in this syllabus.

a) The last day to withdraw from the course with a grade of W is Wednesday, April 1--this is not an April Fools joke, it is the real date. b) Students wishing to request IN grades must put their request in writing and you and your instructor must sign an 'Incomplete Contract' in order for that grade to be given. You must have a C average at the time of the request and must have completed at least exams and 9 or the 10 quizzes given by that time and must be on schedule with your work in Pearson. c) If you want to request a CR/NC grade, you must have completed ALL the requirements for the course. This includes meeting the scheduled dates for submission of the Pearson material. The required form for this must be given to your instructor BEFORE the final exam starts. You may get this form online or at the OASIS. d) If you stop attending and do not complete the course work or officially withdraw you will receive a grade of WU. 8) Your instructor will have you sign a sign-in sheet at each class period. At any point in the class, (s)he may send it around again to have you initial it. If you do not sign in on a particular day, you didn't attend. 9) In this course, you will many different ways to learn statistics. Please come prepared to work. I hope this is a productive semester for you and your classmates.

If you are caught cheating on a quiz, test, exam or a project, you will fail the course and disciplinary charges may be brought against you. If you are caught copying someone else's work or googling answers while taking an exam or turning in someone else's project as your own, you will be charged with academic dishonesty. That may result in receiving a lowered letter grade, failing the course, or possibly being dismissed depending on the charges. You are expected to do your own work. You may receive help from others in order to learn material but 'help' is different from turning in someone else's work and claiming it is your work. You may not have someone else other than you do your work in ALEKS. If you do not know the difference between getting help to learn and cheating, please speak with me directly.

v Hunter College Policy on Academic Integrity

“Hunter College regards acts of academic dishonesty (e.g., plagiarism, cheating on examinations, obtaining unfair advantage, and falsification of records and official documents) as serious offenses against the values of intellectual honesty. The College is committed to enforcing the CUNY Policy on Academic Integrity and will pursue cases of academic dishonesty according to the Hunter College Academic Integrity Procedures.”

v ADA Policy (Suggested language from the Office of AccessABILITY)

”In compliance with the American Disability Act of 1990 (ADA) and with Section 504 of the Rehabilitation Act of 1973, Hunter College is committed to ensuring educational parity and accommodations for all students with documented disabilities and/or medical conditions. It is recommended that all students with documented disabilities (Emotional, Medical, Physical, and/or Learning) consult the Office of AccessABILITY, located in Room E1214B, to secure necessary academic accommodations. For further information and assistance, please call: (212) 772- 4857 or (212) 650-3230.”

v Hunter College Policy on Sexual Misconduct

“In compliance with the CUNY Policy on Sexual Misconduct, Hunter College reaffirms the prohibition of any sexual misconduct, which includes sexual violence, sexual harassment, and gender-based harassment retaliation against students, employees, or visitors, as well as certain intimate relationships. Students who have experienced any form of sexual violence on or off campus (including CUNY-sponsored trips and events) are entitled to the rights outlined in the Bill of Rights for Hunter College.

a. Sexual Violence: Students are strongly encouraged to immediately report the incident by calling 911, contacting NYPD Special Victims Division Hotline (646-610-7272) or their local police precinct, or contacting the College's Public Safety Office (212-772-4444).

b. All Other Forms of Sexual Misconduct: Students are also encouraged to contact the College's Title IX Campus Coordinator, Dean John Rose ([email protected] or 212-650-3262) or Colleen Barry ([email protected] or 212-772-4534) and seek complimentary services through the Counseling and Wellness Services Office, Hunter East 1123.

CUNY Policy on Sexual Misconduct Link: http://www.cuny.edu/about/administration/offices/la/Policy-on-Sexual-Misconduct-12-1-14-with-links.pdf

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