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.

Spring 2024: ALEKS

STAT 2332 in Spring 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 or 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.

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 attending class/problem sessions for each date. For example, prior to meeting with me on say a 1/10/2024 meeting 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 1 problem (don't be) while someone else might require 10 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 5 different problems for each topic. Your mileage should only vary going above 5.

Tests and the final exam will be conducted via ALEKS. Tests will be open in a fixed window (1 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.

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 2024 STAT 2332

Spring 2023 STAT 2332 Study Calendar

This calendar is based on a Monday/Wenesday timeline for meeting deadlines and 10 AM online office hours.

1/08/2024 Welcome; read syllabus; setup ALEKS; no online office hours.
1/10/2024 Chapter 1
1/15/2024 Holiday
1/17/2024 Chapter 2, Section 3.1
1/22/2024 Section 3.2,
1/24/2024 Section 3.3
1/29/2024 Section 4.1, Section 4.2
1/31/2024 Test 1 Easiest of the four tests; study hard and grab all the points you can
2/5/2024 Section 5.1 Basic Probability
2/7/2024 Section 5.2 Complements and the Addition Rule
2/12/2024 Section 5.3 Product Rule and Conditional Probability
2/14/2024 Section 5.3 Product Rule and Conditional Probability; not a typo; we need two sessions
2/19/2024 Section 6.2 Binomial Distribution
2/21/2024 Section 6.3 The Poisson Distribution
2/26/2024 Section 7.1 The Standard Normal Curve
2/28/2024 Section 7.2 Applications of the Normal Curve
3/4/2024 Review 1st review day; it is very needed as test 2 is much harder than test 1; probability is hard!
3/6/2024 Test 2
3/11-3/17 Break
3/18/2024 Section 7.3 Central Limit Theorem for Means
3/20/2024 Section 7.4 Central Limit Theorem for Proportions
3/25/2024 Section 8.1 Confidence Intervals for means with known standard deviation; no online office hours.
3/27/2024 Section 8.2 Confidence Intervals for means with unknown standard deviation and/or small sample size
4/1/2024 Section 8.3 Confidence Intervals for Proportions
4/3/2024 Section 9.1 and 9.2 Hypothesis Testing for means with known standard deviation
4/8/2024 Section 9.3 Hypothesis Testing for small samples or unknown standard deviation
4/10/2024 Section 9.4 Hypothesis Testing for Proportions
4/15/2024 Review; test 3 is easier than test 2 but harder than test 1
4/17/2024 Test 3
4/22/2024 Two variable hypothesis testing
4/24/2024 Two variable hypothesis testing
14/29/2024 Review; final exam features a section on two variable testing and a cumulative overview of the course
5/2/2024-5/4/2024 Final Exam

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.

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MATH 2332