Learn how data works in the real world. Understand statistics and data science without all the jargon or even math. Figure out how to navigate this new world of data even if you're not statistically or mathematically literate. I, Jeff Galak, will use my expertise as a professor at one of the top universities in the world (Carnegie Mellon University) to provide simple, yet nuanced, explanations of the latest and most important data based information.
If you want to learn a bit more about why I do what I do, have a look here: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-sLIquDwwTpw.html
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I have three questions: what is the connection between investing in the stock market and compound interest? sometimes the stock market plummets - how long does that 'loss on paper" last - and how does that calculate into how much an investment will grow? i live in a country where there is no compound interest - how prevalent is compound interest in the world? thx!
Yes, a not highly viewed video and yes, 3 years old but this video highlights a huge issue I have with many so-called tutorials on SPSS on RU-vid. Only the very simplist of cases is illustrated but less than 1 additional minute of video could have yielded exponentially greater insights. Namely, what if you want the analysis split on some factor like gender or race or age cohort? That is probably fairly intuitive, but it could be covered. Less intuitive is what if you want two factors, simultaneously, e.g. not one split by gender then another by race but splitting out by race within each level of gender? Less intuitive, ain't she? Yet this could be covered as well in seconds. I happen to know the answer but the point is it's not realistic to think that an analyst is simply going to do the most basic level analysis. That is NEVER the case. The slightest increase in effort could yield so much more benefit but it's never done.
Notice that all his potential explanations involve Republicans! Can't propose the obvious: leftist polling outlets purposefully skew their results to favor Democrats. They've had since 2016 to fix it, and look, they still skew them in 2024.
Lol! Why not state the obvious explanation for this polling bias? These "mainstream" polling outlets skew their polls purposefully to favor their Democrat candidates 😂. They are leftist propoganda functionaries, much like their mainstream media brethren. 2016 and 2020 proved it. If you look at polsters such as Rasmussen, a Right-leaning source, you'll see that they are far more accurate relative to the actual results. This same dynamic is playing out in 2024.
It is really helpful. I have a question: I have four independent variables (task condition with two levels, task time with two levels, task complexity with two levels, and anxiety scores) with one dependent variables (writing quality). I want to see how anxiety predicts the relationship between the categorical variables (and their interactions like task compleity and task time) and writing quality. What kind of statistical test should I run? Multiple regression (stepwise)? Should I follow your steps for the interactions? Thanks in advance.
Great video and thank for firstly speaking to Type 1 error & Type 2 error and why we don’t need to over complicate things. Going by a more intuitive approach helps.
Thank you for the excellent videos on clustering. I have a dataset in which the majority of the variables are categorical. Which clustering method would be best for categorical variables? If I convert the categorical variable to have values '1', '2', '3' and so on, could i then use this 'numerised' dataset in hierarchical or k-mean clustering? I would greatly appreciate your thoughts on these questions.
thanks for sharing, but the question I have is: when presidents or the labor bureau report on unemployment, are they all using the same measure - U3 or U6? Or are there cases when some use U3 and others U6?
Hi! First of all, thank you so much for the videos you posted they are handy material to refer to. Regarding this video, I would like to ask if you can make a follow-up video on ROC curve to decide the cutoff criteria with the probabilities to decide who are likely to be Republican or Democrat.
Hello, thank you for the super informative video. I have a question: if I hypothesize priori that in a multiple regression with 6 variables one of the variables will predict the outcome controlling for the other 5, do I just report the p-values or would I need a Bonferroni Correction still? It would be of great help for an analysis I'm conducting. Thank you in advance!
this is so so useful. could you do a playlist for a math course on uncertainty quantification? I have gained interest in this course over the past year and will be taking it in my winter term. Your explanations are really good and simplifies the intuition I was hoping to get
Can I run a multiple regression analysis where there are Multiple categorical variables with many levels each as Independent variables and one continuous Dependent variable??? I’m having a serious doubt here with no answers anywhere. I’ve created dummy variables for all the categorical variables (eg age, sectors of the economy, income )
Can I run a multiple regression analysis where there are Multiple categorical variables with many levels each as Independent variables and one continuous Dependent variable??? I’m having a serious doubt here with no answers anywhere. I’ve created dummy variables for all the categorical variables (eg age, sectors of the economy, income )
