scores schedule deadlines-internet
WEEK 1. August 23,25
Preparation
Are you really ready? Read this carefully before doing anything else!
Make sure you are registered into this course. If you are enrolled at Purdue University North Central (PNC), you can use SOLAR to do this. If you are not enrolled at PNC, you can use the Indiana College Network. Not sure if you are registered? Contact your distance learning coordinator (DLC). Not sure who your DLC is? Contact the PNC Learning Center, Barb Phillips.
It is of utmost importance that you contact the instructor; that's me, Dr. Jonathan Kuhn, between Monday, August 23 and Friday, August 27. Let me know you have started the preparations listed here. If you fail to contact me during this time period, I will not permit you to take this internet course. 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 Learning Center, Barb Phillips, to arrange supervised tests with, between Monday, August 23 and Friday, August 27. Ask her what her policies are with regard to taking supervised tests at the Learning Center on the PNC campus. If you are not enrolled at PNC, it is up to you to make sure that your DLC is in communication with the PNC DLC, so that the two DLCs can coordinate when and where your supervised tests will occur.
Logon to your Vista account between Monday, August 23 and Friday, August 27. If you fail to logon to your WebCT account by 4 am (yes, 4am!) (West Lafayette, Indiana time), Friday, August 27th, I will not permit you to take this internet course.
Buy A TI-83 Calculator. Buy either the TI-83 (or TI-83 plus, or TI-83 silver edition) calculator.
Buy the text from the PNC bookstore: Calculus and Its Applications (8th Edition). The solution manual is also useful.
Check out both the STAT 225 syllabus and the general internet syllabus
Check out frequently asked questions asked by online students.
Check previous course material for previous quizzes, scores, student evaluations and other course material.
If you are anxious to start before the semester begins, download "attendance1.pdf", "attendance2.pdf", ..., "attendance14.pdf" given below and start answering the questions. The homework questions, "hmk1.pdf", ..., "hmk7.pdf" are also given below for you start working on, if you wish. You cannot send me--I will not accept--your answers, though, unless you submit them through WebCT. All answers must be submitted through WebCT; WebCT allows me to not only keep track of the material you submit but also allows me to grade your submissions.
Chapter 1. Combinatorial Analysis (skip 1.6 The Number of Integer Solutions of Equations)
attendance1 not handed in
Answer the questions from hmk1 selected at random for you by the Vista on or before 4 am (West Lafayette, Indiana, time) Friday, September 3. Use the WebCT quiz/homework link to submit your homework assignment; do not use the WebCT email to send me your homework assignment! Submit as many times as you want before the deadline, and receive the highest score of all the submissions.
TI83-lab1 is a document which gives a list of all the TI-83 instructions used this week. It is for your information; it is not handed in.
Check how you did on your homework assignment by looking your score up at scores after 9 pm (West Lafayette, Indiana, time) Friday September 3. Use your ID number to locate your score under the column H1.
Chapter 2. Axioms of Probability (skip 2.6 Probability As a Continuous Set Function)
attendance2 not handed in
The Vista quiz to be done on or before 4 am Friday, September 10. One 20 minute timed submission is allowed; each student does the quiz by themselves with no help from others.
Check out practice quiz1 questions to help you prepare for this quiz; these questions are not handed in.
TI83-lab2 not handed in.
Check how you did on your quiz by looking your score up at scores after 9 pm (West Lafayette, Indiana, time) Friday, September 10. Use your ID number to locate your total score, which is given in the third-to-last column under TT, and your current grade, which is given under the next-to-last column under G.
WEEK 4. September 13,15
Chapter 3. Conditional Probability and Independence
attendance3 not handed in
hmk2 Submit Vista homework 2 before 4 am Friday, September 17
TI83-lab3 not handed in
WEEK 5. September 20,22
Chapter 4. Random Variables:
4.1 Random Variables
4.2 Discrete Random Variables
4.3 Expected Value
4.4 Expectation of a Function of a Random Variable
4.5 Variance
attendance4 not handed in
qz-prac2 Submit WebCT quiz 2 before 4 am Friday, September 24
TI83-lab4 not handed in
Chapter 4. Random Variables:
4.6 The Bernoulli and Binomial Random Variable
4.7 The Poisson Random Variable
4.8 Other Discrete Probability Distributions
4.9 Properties of the Cumulative Distribution Function
attendance5 not handed in
hmk3 Submit WebCT homework 3 before 4 am Friday, October 1
TI83-lab5 not handed in
Chapter SR. Calculus
SR.1 Differentiation
SR.2 Integration
Chapter 5. Continuous Random Variables:
5.1 Introduction
5.2 Expectation and Variance of Continuous Random Variables
5.3 The Uniform Random Variable
5.4 Normal Random Variables
attendance6 not handed in
qz-prac3 Submit quiz 3, supervised by your distance learning coordinator, Wednesday, the 6th, or Thursday the 7th. Bring TWO pieces of PICTURE identification!
TI83-lab6 not handed in
Chapter 5. Continuous Random Variables:
5.5 Exponential Random Variables
5.6 Other Continuous Distributions
5.7 The Distribution of a Function of a Random Variable
attendance7 not handed in
hmk4 Submit WebCT homework 4 before 4 am Friday, October 15
TI83-lab7 not handed in
WEEK 9. October 18,20
Chapter 6. Jointly Distributed Random Variables:
6.1 Joint Distribution Functions
6.2 Independent Random Variables
6.3 Sums of Independent Random Variables
attendance8 not handed in
qz-prac4 Submit quiz 4 before 4 am Friday, October 22
TI83-lab8 not handed in
WEEK 10. October 25,27
Chapter 6. Jointly Distributed Random Variables (skip 6.6 Order Statistics and 6.8 Exchangeable Random Variables):
6.4 Conditional Distributions: Discrete Case
6.5 Conditional Distributions: Continuous Case
6.7 Joint Probability Distribution of Functions of Random Variables
attendance9 not handed in
hmk5 Submit homework 5 before 4 am Friday, October 29
TI83-lab9 not handed in
Chapter 7. Properties of Expectation:
7.1 Introduction
7.2 Expectation of Sums of Random Variables
7.3 Covariance, Variance of Sums and Correlations
7.4 Conditional Expectation
attendance10 not handed in
qz-prac5 Submit quiz 5 before 4 am Friday, November 5
TI83-lab10 not handed in
Chapter 7. Properties of Expectation (skip 7.8 General Definition of Expectation)
7.5 Conditional Expectation and Prediction
7.6 Moment Generating Functions
7.7 Additional Properties of Normal Random Variables
attendance11 not handed in
hmk6 Submit homework 6 using WebCT before 4 am Friday, November 12.
TI83-lab11 not handed in
Chapter 8. Limit Theorems:
8.1 Introduction
8.2 Chebyshev's Inequality and the Weak Law of Large Numbers
8.3 The Central Limit Theorem
8.4 The Strong Law of Large Numbers
attendance12 not handed in
qz-prac6 Submit quiz 6, supervised by your distance learning coordinator, Wednesday the 17th or Thursday the 18th.
TI83-lab12 not handed in
Chapter 8. Limit Theorems:
8.5 Other Inequalities
8.6 Bounding the Error Probability When Approximating a Sum of Independent Bernoulli Random Variables by a Poisson Random Variable
attendance13 not handed in
hmk7 Submit homework 7 before 4 am Friday, November 26
TI83-lab13 not handed in
WEEK 15. November 29; December 1
Chapter 9. Additional Topics in Probability (skip 9.3 Surprise, Uncertainty and Entropy and 9.4 Coding Theory and Entropy)
9.1 The Poisson Process
9.2 Markov Chains
attendance14 not handed in
qz-prac7 Submit WebCT quiz 7 before 4 am Friday, December 3.
TI83-lab14 not handed in
WEEK 16. December 6,8
Chapter 9. Additional Topics in Probability (skip 9.3 Surprise, Uncertainty and Entropy and 9.4 Coding Theory and Entropy)
9.1 The Poisson Process
9.2 Markov Chains
Check out the previous final exams to help you prepare for this final exam.
Final
Final must be done on or before Monday 9pm, December 13.