office hours and class schedule deadlines-internet
Are you really ready? I very strongly recommend you read this carefully before doing anything else!
Make sure you are registered in this course.
If you are enrolled at Purdue University North Central (PNC), use admissions.
If you are not enrolled at PNC, use Indiana College Network.
Buy texts: Statistics: Informed Decisions Using Data (3rd Edition, bundled with CourseCompass) and students solution manual.
Required texts can be bought from PNC bookstore (1-219-785-5247).
To repeat:: text must be bundled with online package CourseCompass
Print STAT 301D syllabus
Logon to your Blackboard account by the first day of classes.
Register into CourseCompass (you need both a Course ID from me and a Student Access Code from text)
Watch getting started online video:
It is of utmost importance that you contact the instructor; that's me, Dr. Jonathan Kuhn on the first day of classes.
Let me know you have started the preparations listed here.
Make sure I have replied to any email you send me or that you immediately reply to any email I send you.
If you have not heard from me within 24 hours of sending your email, telephone me.
If you are a local (to PNC) internet student, contact the PNC Student Success Center in the first week of semester. Ask them what the policies are with regard to taking supervised tests at the Student Success Center on the PNC campus.
If you are not enrolled at PNC, it is up to you to coordinate with me when and where your supervised tests will occur.
Buy A TI-84 Calculator and check out tutorial videos for TI-84+ Calculator
Check out frequently asked questions for online students.
Check previous course material.
Chapter 1. Data Collection
Submit answers online to attendance 1 questions.
Due on or before Tuesday (not Thursday!) of deadlines.
Attendance 1 assignment available and submitted in CourseCompass.
You must achieve 80% on attendance 1 before moving onto homework 1. Take advantage of extensive online help given with all questions in attendance 1.
All questions in attendance 1 are found in Statistics: Informed Decisions Using Data (3rd edition) text.
Submit answers online to homework 1 questions selected at random for you by CourseCompass.
Due on or before Thursday (not Friday!) of deadlines.
Homework 1 assignment available and submitted using CourseCompass.
Once in CourseCompass, click on show all to see both homework 1 and attendance 1.
Homework assignment 1 will not be accepted unless you have achieved 80% on attendance 1.
Do not use Vista email to send me either your attendance assignment or your homework assignment
Submit as many times as you want before deadline, receive highest score of all submissions.
All questions in homework 1 are found in Statistics: Informed Decisions Using Data (3rd edition) text.
Homework assignment scores are available in Vista Friday of deadlines .
Use ID number I email you on first day of semester to identify your score.
TI84-lab1 is a document which gives TI-84+ instructions used this week. It is for your information; it is not handed in.
class lecture notes 1 optional, for your information, not handed in
Chapter 2. Organizing and Summarizing Data
attendance 2 online questions due on or before Tuesday of deadlines
Do quiz 1 online in CourseCompass on or before midnight Thursday deadlines.
One 20 minute timed submission is allowed; each student does quiz by themselves with no help from others.
Quiz 1 scores available in Vista after 9 pm late Friday night.
Use ID number to locate your current total score and grade.
TI84-lab2 not handed in.
class lecture notes 2 not handed in
WEEK 4.
Chapter 3. Numerically Summarizing Data
attendance 3 online questions due on or before Tuesday of deadlines
Submit homework 2 online on or before midnight Thursday of deadlines.
TI84-lab3 not handed in
class lecture notes 3 not handed in
WEEK 5.
Chapter 4. Describing the Relation between Two Variables
attendance 4 online questions due on or before Tuesday of deadlines
Do quiz 2 online in CourseCompass on or before midnight Thursday deadlines
Check out previous course material to prepare for quiz 2
TI84-lab4 not handed in
class lecture notes 4 not handed in
Chapter 5. Probability
attendance 5 online questions due on or before Tuesday of deadlines
Submit homework 3 online on or before midnight Thursday of deadlines.
TI84-lab5 not handed in
class lecture notes 5 not handed in
Chapter 6. Discrete Probability Distributions
attendance 6 online questions due on or before Tuesday of deadlines
Do supervised quiz 3 online in CourseCompass on or before midnight Thursday deadlines
Check out previous course material to prepare for quiz 3
Supervised in Student Success Center. Arrange quiz 3 time two weeks in advance. Bring ONE piece of PICTURE identification
TI84-lab6 not handed in
class lecture notes 6 in handed in
Chapter 7. The Normal Probability Distribution
attendance 7 online questions due on or before Tuesday of deadlines
Submit homework 4 online
TI84-lab7 not handed in
class lecture notes 7 not handed in
WEEK 9.
Chapter 8. Sampling Distributions
attendance 8 online questions due on or before Tuesday of deadlines
Do quiz 4 online; try previous course material to prepare for quiz 4
TI84-lab8 not handed in
class lecture notes 8 not handed in
Chapter 9. Estimating the Value of a Parameter Using Confidence Intervals
attendance 9 online questions due on or before Tuesday of deadlines
Submit homework 5 online
TI84-lab9 not handed in
class lecture notes 9 not handed in
Chapter 10. Hypothesis Tests Regarding a Parameter
attendance 10 online questions due on or before Tuesday of deadlines
Do quiz 5 online; try previous course material to prepare for quiz 5
TI84-lab10 not handed in
class lecture notes 10 not handed in
Chapter 11. Inferences on Two Samples
attendance 11 online questions due on or before Tuesday of deadlines
Submit homework 6 online
TI84-lab11 not handed in
class lecture notes 11 not handed in
Chapter 12. Inference on Categorical Data
attendance 12 online questions due on or before Tuesday of deadlines
Do supervised (in SSC) quiz 6 online; try previous course material to prepare for quiz 6.
Arrange the quiz 6 time two weeks in advance. Bring ONE piece of PICTURE identification!.
TI84-lab12 not handed in
class lecture notes 12 not handed in
Chapter 13. Comparing Three or More Means
attendance 13 online questions due on or before Tuesday of deadlines
Submit homework 7 online
TI84-lab13 not handed in
class lecture notes 13 not handed in
Chapter 14. Inference on the Least-Squares Regression Model and Multiple Regression
attendance 14 online questions due on or before Tuesday of deadlines
Do quiz 7 online; try previous course material to prepare for quiz 7
TI84-lab14 not handed in
class lecture notes 14 not handed in
WEEK 16.
Review
Check out the previous final exams to help you prepare for your supervised final exam in the Student Success Center.
Bring TWO pieces of PICTURE identification!
WEEK 17.
Final Exam
The final exam is to be done in SSC on or before Thursday of exam week.