DAX Fridays! #99: NORM.INV | Predicting Kevin Durant top scores

In today's DAX Fridays! We continue the Statistic Functions series with the function NORM.INV.

We will calculate which scores we can expect if Kevin Durant has a great day or a bad day.

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[sayananalytics]

Thanks once again for your effort and excellent videos.
greetings,
Sayam Nandy

[MrPapeBoubacar]

I did not know Hans had a new book out. That's great news. I watched a couple of years ago a Ted Talk given by Hans on data visualization, and it inspired me to actually shift careers and focus more on data analytics and visualizations. That Ted Talk is the only reason I have been obsessed for quite some time with BI. You should definitely do a couple of series about the book. Hopefully, by that time I would have read it too. Have a nice week end Ruth.

[kudratilla]

I see how fascinated you are by that book. And that is exactly how fascinated I am by your channel! Stort tack 🙏

[Data_man]

I really like your video style. I watch your videos including earlier / rankx /Frequency, your explanation is very clear.
Thanks for your videos let me learn a lot about Power Bi.

[MacPaulos]

Hey Ruth, Excellent video series as always. Could you put the videos in order for the playlist (small thing) and perhaps do a recap video with a larger dataset. Would love to see all of these come together for something like Northwind sales for a particular product ect.


P.S 3rd time going through your video series, amazing work and I'm addicted to your channel.

[jerrykappa]

Great Ruth.... wonder if Poisson.inv exists?

[barttitulaerexcelbart]

Hi Ruth, from a statistical point of view I do not agree with your solution. you mix up a theoretical value (the 10% based on the theoretical normal distribution), and the min max of the actual figures. In my opinion you should use the PERCENTILE function. But still compliments to the way you explain..:) greetings Bart