How do whites make more of the police shootings in the first data set if blacks make most of police interactions? Aren’t most police interactions from repeated offenders? What is bias really? How do we prove bias in a consistent and coherent way that can’t just be altered for a different picture? 🙃

Thanks Really good

You talk too fast.....

I want to test, for example, if women are more impulsive in buying than men. I did exactly like you and it turned out that there are differences. I could say from the start according to the hypothesis that women are more impulsive or should I have a table somewhere to show this exactly? or the test type is not good. As for gender, I only have women and men.

Good explanation. Thank you! Request you to speak a bit slowly to be able to follow by those whose first language is not English.

thank you so much, this was easy to understand.

Sira super sira I am Tamil student but English medium school. I understand very clearly sir . I am 8th stranded.

I would love to see the continuation video on "How to calculate P-value?". Thanks for your efforts. Keep teaching.

If I am comparing two things, let's say 2 ai chatbots. I aim to find out which one writes higher coverage unit tests for code. Let's say I asked each one to write tests for 20 classes (each consisting of varying number of functions), and that on average chatbot A wrote tests that on average gave 70% line coverage and tests by chatbot B provided 80% average line coverage. How do I confirm/disprove that the difference is statistically significant enough to say that chatbot B is better (provides higher coverage tests) than chatbot A?

Thank you, it was very helpful. Just one feedback, if you control your pitch it will be very helpful

Inquiry: If I had one group of males and females, and I applied treatment to them and took three measurements If the conditions for a t-test are present, use a two-sample t-test to test the treatment difference between males and females in each measurement Secondly, it is possible to use a repeated-measures test to compare the effect of treatment on males in repeated measurements I repeat this again for females

what a useful video! excellent.

Hello, I am wanting to follow this process by doing a hierarchical cluster analysis to determine the k for my k-means analysis. My question is, my variables are not all on the same scale so in the hierarchical cluster analysis I will need to convert them into z-scores or something similar so they are comparable. How does this impact the k-means cluster analysis? Do I need to do an extra step here or will my variables already be converted and able to be used again after the hierachical analysis?

This is an amazing explaination. Subbed! Can you go into Confidnece Intervals, Bayesian Estimates, and Effect Sizes?

HI, great video. In your output of 'Tests of within-subjects effects' you have df=9. In my output for some reason my df=0. Therefore my p value is displayed as a dot (.) only in my output. DO you know why is that the case? I have a sample of 34.

Thnx for making such videos

This tutorial is amazing

Efficacy.. 99%effective at collecting money, during experimenting on under informed general population …

Really good video, thank you

such a good video, thank you for you help!!!

thats great, thanks!

Great explanation! Great, easy-to-understand, and clearly enthusiastic about psychology!

Another thing that people do not look at is, how much tax has increased in the same time period.

There are no good arguments against minimum wage. They same exact arguments have been used from the beginning. They are almost all lies.

During my conjoint analysis, there is no important value and utilities because spss stated "no analysis is performed because there are no valid cases" how to solve this. I did cluster analysis to get the utilities and std.error of each cluster but after performing conjoint to my one cluster, conjoint won't show results. Please help. I have no missing values, no duplication and whatsoever.

Thank you for this video. so helpful. Question. I have a data set with 1003 participants. I used 16 questions exploring overall attitudes of grandparents. When i do the factor analysis on these questions extracts 4 components. However, when I split the file by gender, the males extract 5 components and the females 4. SPSS created 5 new variables. Should I not split the file?

Hello Dr. Galek- I downloaded the data file with an extension .sav I tried Excel, Word, Word Pad & HxD. My file has a bunch of garble along with some other content. HxD shows the same decoded text garble. Is that correct or am I using the incorrect apps? Sam

liked the video within the first 3 minutes, owesome

Great video

thanks for your instruction. can i add Scheffé post hoc comparison in spss.

Is it the same on SPSS29?

I really love your content

What a GREAT explainer video! I was a math major in college, so I've known this stuff cold for a long time. But so many don't know this really important math stuff. I've seen so many examples of journalism data is presented as "average" or even where it is just implied as "typical" data, which is not even clearly specified as whether it is "average" or "median." You are doing a GREAT service.

This is a brilliant video, thanks very much professor.

In case the Sig for some variables is bigger than .001 what should we do? Should we screen and remove them and do the cluster analysis again?

Which method of hierarchical or K-means is the most appropriate for dichotomous variables with binary coding (0,1) showing the presence and absence of a variable?

wonderful, great, amazing content!!!!!!! thank you so much!!!!

Thank you

That's not that simple. You assume that all your investments will multiply (some investments will be the loosing ones inevitably) + you don't consider the inflation factor. What 500.000$ could buy you in 40 years? Probably not much, not even a decent property. To sum up your idea "be tight on budget all of your life and by the age of 65 you will have some decent savings" Imo It's better to spend those savings on learning new skills, changing the career, breaking out of 9-5 slavery to build the real wealth.

can we do ANCOVA if co-variant is categorical and dependent and fixed factor is non parametric?

Can covariate misuse be made worse by adding a covariate which arguably overfits the data? An example of this is described at econdataus.com/stem_workers1.htm#section7 . The addition of the covariate appears to essentially add a coefficient for every 3 data points.

Thank you so much

prof i need your support can you help me

How do we define the names as to what is increasing and what is not

Can cluster analysis be applied on secondary data

Thats all true,but Rochard Finmen proved that the O rings would fail in very cold temperatures.I believe if the Thiocol engineers did a physical experiment with the O rings in cold temperatures and the management at NASA saw it,they would have delayed the launch until warmer weather.

Great great video... Yes, I will be checking your other videos. It makes a lot more since and easier to select a statistical model when you intuitively understand the equations. I am a university professor and I see that my students do much better when they understand, not necessary use, the math behind the models. My question, you did not say anything about the "overall percentage correct", how does it interpreted? What does it tell me about the model? Would it be something similar to r2 (r squared) in simple regression?

Imagine a vaccine is administered, but we didn't count the results for the first two weeks. Is this p hacking?

This is a great video to quantify network effect!

Thank you for the explanation!! Amazing