MATH 2332
Welcome to the resource page for Dr. Joe DeMaio's STAT 2332 classes at Kennesaw State University. I am constantly fiddling with notes and exercises. So, this site is almost always under construction!!!! Visit early and often.
STAT 2332 online in Summer 2024 will be taught differently than my usual style of face-to-face lectures and interaction. This term, ALEKS videos will be your starting point for learning the material. Here is the link to McGraw-Hill's ALEKS website with a little intro video. Next this guide provides info on logging in and setting up a new account. From there you can select our course. There you will find access to the electronic copy of your textbook, homework and additional resources. You will also need a course code from me to activate our specific course. It can be found in the D2L version of this announcement (for security reasons I do not post it to this public web page). You must complete the "Initial Knowledge Check" to open access to the course (ALEKS' idea; not mine).
In particular, videos can be watched after you login and select our section from your available courses. Now select assignments. All the videos, homeworks and eventually tests in that section appear for viewing. Videos run anywhere from 3 to 10 minutes. Note that we always use technology for complex computations. For example, I don't require you to compute standard deviation by hand. I do require you to be able to compute standard deviation using the TI-84, R Studio or some other appropriate technology.
What is R Studio you ask? R Studio is open source software and available to download for free. It is also already installed on our computers at KSU. Here is an overall guide to R Studio from Geeks for Geeks. Most pertinent for us is the Statistics subsection.
If you prefer you may make use of the TI-83/84 for statistical calculations and tests. Here is a quick guide with pictures from Austin Peay State University on using the TI-84.
You will not have the time available on tests to conduct complex computations by hand. The assignment of videos reflects this philosophy. Particularly noteworthy is that we always compute normal curve values with the TI-84 or R Studio and NOT with tables. Ditto for confidence intervals. After watching videos the next critical step is practicing the techniques. Watching videos without practicing the techniques is insufficient preparation for tests. Videos provide the instruction needed for this course. Cramming videos and homework on the day of the test has proven to be wildly insufficient for earning a strong grade. Slow and steady wins the race here. Hey, look at that! Your first lesson in using data.
After watching videos, one should proceed to practice the techniques of the section. Once again, proceed to resources and then practice. These problems are not graded. You may attempt them as many times as you would like. Guides to solving each problem are available along with references to key sections of the textbook. Practice provides the learning needed for this course. Keep asking ALEKS to "try another" until you are perfectly adept at the problem types.
Since homework is not graded, all videos and homeworks are "open" all semester long with "submit" dates after the semester ends. That just ensures everything is available for viewing and practice all semester long.
One of my philosophies is the use of real data in the classroom. One favorite source of mine is Sports Reference since it is loaded with easy to find and interesting statistics. Another favorite site is the KSU factbook.
The following timeline documents our pace and test dates for the semester. Note that you should watch the videos prior to attempting homework for each section. You should attempt homework prior to setting up an appointment with me for help. I am great at helping correct mistakes in homework problems. If you don't know how to begin homework problems, go back and rewatch the videos. It can easily be the case that watching the video a second (or third, etc.) time will show you the solution pathway to homework problems. For example, prior to meeting with me on a topic, you should watch videos and attempt homework for the sections listed for that date in our calendar below. Homework is assigned for each topic. However, the number of problems attempted is up to you the student and your comfort level with the topic. You might feel comfortable after one problem (don't be) while someone else might require ten problems for a similar comfort level on a topic. It is up to you to click the try another button on the different homework topics. I strongly suggest at least five different problems for each topic. Your mileage should only vary going above five. Homework is not part of your grade. Homework is where you practice the techniques of the class in preparation for tests. Cramming the homework on the day of the test is ill-advised. Should you still encounter difficulty with homework or have bigger picture questions, I have regular on campus office hours on MW from noon to 1:20. If coming to campus does not work for your schedule (this is an online, asynchronous class after all), I am more than happy to answer questions via email and/or virtually in MS Teams.
Tests and the final exam will be conducted via ALEKS. Tests will be open in a fixed window (one day for tests, three days for the final) for which the student self-schedules their time to begin the exam. Once begun, the test must be completed within time period (120 minutes for a test). You have one attempt at each test. You cannot exit ALEKS and restart the test. If you wait to begin the test at 11:50 PM on the test day, you will only have nine minutes for the test. Tests close at 11:59 PM on their open day irregardless of when you begin.
ALEKS is a great system for remote, asynchronous courses! However, ALEKS can be very picky about rounding. It frequently wants accuracy to 4 decimal places. I think that's a bit much. While I am open to returning points on any test where ALEKS was too picky regarding rounding, it is most likely to happen in problems where you need to compute in the normal curve. While you should always check your tests to see what you did right (and congratulate yourself) and what you did wrong (to fix for a cumulative final), also check to see if ALEKS was overly picky regarding rounding. Send me question numbers of problems where you think this may have occurred. If it is picky rounding, I will be happy to restore points.
When you read the syllabus you will see that your grade is based entirely on tests. If you don't like that, you should drop the course rather then wait until the end of the term to complain on rate my professor. It makes you look like you can't or don't care to read a syllabus. Hey, look at that! Your second lesson in using data.
Syllabus Spring 2025 STAT 2332
Kennesaw State Student Resources and Syllabus general information
Asynchronous, remote learning is not for everyone. One needs to diligently self-schedule and adhere to study time. If you need an authority figure nagging you to study and reminding you of test dates, this modality might not be for you. To guide your self-study, I've prepared the following calendar of topics and test dates.
1/6/2025 Welcome; read syllabus; setup ALEKS.
1/8/2025 Chapter 1
1/13/2025 Chapter 2, Section 3.1
1/15/2025 Section 3.2,
1/22/2025 Section 3.3
1/27/2025 Section 4.1, Section 4.2
1/29/2025 Test 1: Easiest of the four tests; study hard and grab all the points you can
2/3/2025 Section 5.1 Basic Probability
2/5/2025 Section 5.2 Complements and the Addition Rule
2/10/2025 Section 5.3 Product Rule and Conditional Probability
2/12/2025 Section 5.3 Product Rule and Conditional Probability; not a typo; we need
two sessions
2/17/2025 Section 6.2 Binomial Distribution
2/19/2025 Section 6.3 The Poisson Distribution
2/24/2025 Section 7.1 The Standard Normal Curve
2/26/2025 Section 7.2 Applications of the Normal Curve
3/3/2025 Review 1st review day; it is very needed as test 2 is much harder than test 1; probability
is hard!
3/5/2025 Test 2: This is the hard one. You may have crammed the morning of test 1 and earned
a grade you were content with. That will not happen on test 2.
3/17/2025 Section 7.3 Central Limit Theorem for Means
3/19/2025 Section 7.4 Central Limit Theorem for Proportions
3/24/2025 Section 8.1 Confidence Intervals for means with known standard deviation;
no online office hours.
3/26/2025 Section 8.2 Confidence Intervals for means with unknown standard deviation
and/or small sample size
4/2/2025 Section 8.3 Confidence Intervals for Proportions
4/7/2025 Section 9.1 and 9.2 Hypothesis Testing for means with known standard deviation
4/9/2025 Section 9.3 Hypothesis Testing for small samples or unknown standard deviation
4/14/2025 Section 9.4 Hypothesis Testing for Proportions
4/16/2025 Review; test 3 is easier than test 2 but harder than test 1
4/21/2025 Test 3
4/23/2025 Two variable hypothesis testing
4/28/2025 Review; final exam features a section on two variable testing and a cumulative overview
of the course
4/29/2025-5/1/2025 Final Exam
ALEKS videos do a great job introducing the material of the course. Of course, videos and homework problems do a poor job of responding to your questions. That’s where I come in as a resource. I am available to assist one after watching the videos and doing the homework. When meeting with me, it is up to you as the student to determine what we want to do. I am happy to discuss statistics in general, work specific problems, discuss the big picture, etc. I like this stuff! Your questions are never a bother to me. It is my job and what I like to do.
The STAT Tutoring Lab is available for STAT 2332 assistance.
The following are old notes from a different textbook than we use now. They do not perfectly align with ALEKS and the Navidi/Monk text. However, the basic ideas haven't changed. Proceed with caution.
- Chapters 0 and 1: Introduction to Data Analysis
- Section 2.2: Bar Charts and Pie Charts
- Sections 2.3 and 2.4 Stem-and-leaf Displays and Histograms
- Section 3.1: Measures of Central Tendency
- Section 3.2: Measures of Variability
- Section 3.3: The Empirical Rule and Measures of Relative Standing
- Section 3.4: Five-Number Summary and Box Plots
- Correlation
- Linear Regression
- Section 4.1: Experiments, Sample Spaces and Events
- Section 4.2: Complements and the Addition Rule
- Section 4.3: Counting Techniques
- Sections 4.4 and 4.5: The Multiplication Rule and Conditional Probability
- Sections 5.1 and 5.2: Random Variables and Discrete Probability Distributions
- Section 5.3: Mean and Standard Deviation of a Discrete Probability Distribution
- Section 5.4: The Binomial Probability Distribution
- Section 5.5: Other Discrete Probability Distributions
- Section 6.1: Continuous Probability Distributions
- Section 6.2: The Normal Curve
- Section 7.2: Sampling Distribution of Sample Means and the Central Limit Theorem
- Section 7.3: Sampling Distribution of Sample Proportions and the Central Limit Theorem
- Sections 8.1 and 8.2: Point Estimates and Confidence Intervals for Means with known Standard Deviation
- Section 8.3: Confidence Intervals for Means with unknown Standard Deviation
- Section 8.4: Confidence Intervals for Proportions
- Section 9.1-9.4: Hypothesis Testing for Means with known Standard Deviation
- Section 9.6: Hypothesis Testing for Proportions