My presentation will take place on 3/3/21 at 2:10 PM via Zoom (link will be sent at a later time).

In my seminar presentation, I will be discussing normality testing. In particular, I will discuss why we test for normalcy, how we test for normalcy, and the different applications of such research. Although it would be helpful to have taken Probability & Statistics I & II, it is not necessary to understand the contents of the seminar.

Objectives:

-Learn more about why we test for normality

-Learn different methods to test for normality

-Understand recent breakthroughs in normality testing

-Understanding the best tests for certain scenarios

-How has normality testing been misused/how it could have been improved

-My plans for research in the area of psychology

This was a fantastic presentation that meshed two disciplines together very well. Zach displayed above average competency in his knowledge of statistics and psychology, and his presentation skills were excellent. One thing that I thought was very good was the inclusion of some of the newer tests that have been published. A lot of good work tends to ignore new developments to their downfall, so this really shows the amount of work Zach put in to make his research complete. I’m very interested in seeing how his future plans work out! Great job Zach!

I thought that this presentation was very well done. I found it quite interesting that there are different tests that could be done in psychology and that they could be helpful in varying degrees depending on the statistics. Keep up the great work Zach, and good luck with your future studies.

Yep this was a presentation and it was not terrible I can conclude that. I was most interested in the fact that psychologist often use wrong test and do not even know it. Their information is wrong and they have zero clue as to why it is that way or that it is the way it is. Did a good job communicating your ideas. I do wish you explained to people what a confidence interval is as it can be a somewhat tricking thing that people often get wrong. Perhaps a visual of the two most common confidence intervals of 90% and 95% would have been helpful. Also maybe describe that a confidence interval is the central area under the curve that is 95% percent of the total area under the curve designated to a certain deviation value I can not remember off the top of my head. Also that a confidence interval is not that you are 95% accurate but given so many samples 95% of your samples will fall between the negative and positive value of the deviation value. The test were a little hard to keep track off as well. I am not sure how you could have made it more clear but maybe take a little more time to explain which test are which because by the end you could have told me any of the test and I would not have remembered which one is which. Or potentially just reiterate which test is which only the first time after you define them. If you need any help I have friend who I believe just finished her grad studies in psychology and is currently working on opening up her own practice as she as been practicing it for a couple years here in Buffalo. I will definitely be passing along the news that all her work is wrong ðŸ™‚ Overall would attend again.

Excellent work. Your passion for both Psychology and Mathematics were clearly visible throughout your presentation. Your presentation was organized and worded in such a way that allowed others who are not so familiar with these complex tests to get a brief understanding or what they were. When it comes to these complex topics, which would probably take us many days to thoroughly talk about, it can be really challenging trying to break it down so it can fit in a 45 minute presentation. However, I thought you did a great job of getting the main points about these tests across in such a short amount of time.

I thought your presentation was very well done! It was extremely clear how much work you put into examining the many different methods to test for normality. I feel like you did a great job actually giving the presentation via Zoom. You went through the slides, but then elaborated on some key ideas and included some details that were not actually written in your slides, which I feel really convinced your audience that you are very knowledgeable in this subject area. Also, I felt that the timing of your presentation was perfect. The Internet and newspapers are currently filled with all sorts of data regarding COVID cases, vaccine trials, and many other things related to the pandemic. Your presentation really got me thinking as to whether or not all of these studies checked for normality correctly. I really wonder whether or not the models developed in some of these studies are appropriate, or if the normality assumption was misapplied. Overall, great job Zach! You should be really proud!

Great work Zach. Thank you for sharing your knowledge, and experiences with us. Since I am new in the research field that you were doing on “Normality Testing,” it was an interesting topic. I hope people can still continue to do research on “Normality Testing” so they can find the many different types of solution to people health issues. Again thank you! And looking forward to your research development in near future.

This presentation was excellent. You presented this topic very well and were very knowledgeable on the topic. It was easy to see that this is something you are passionate about and bringing two areas you know much about together. I found it interesting how there are so many test and some could be giving unnecessary information and they don’t even know it. Great work Zach, I can’t wait to see your research in the future.

Great job. This felt like a bit of a passion project for you, which is always awesome. When someone brings in their interests outside of mathematics, it’s sometimes difficult to keep the attention on the math, as we are in math seminar, but you did an excellent job. Statistical tests bother me. There are always more you can do, and there are always more being discovered. I learned this in Econometrics. It’s easy to get lost. Anyway, good job.