Normal Distribution, Z Scores, and Normal Probabilities in R | R Tutorial 3.3| MarinStatslectures

In this R video tutorial, we will learn to calculate probabilities for Z scores. we will also learn to calculate probabilities for a normal distribution using pnorm, dnorm, rnorm, and qnorm functions in R Software. This R tutorial will also show you how to draw the probability density curve for a normal variable.

This video is a tutorial for programming in R Statistical Software for beginners using RStudio.

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Our Team:
Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)

These videos are created by #marinstatslectures to support some statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), although we make all videos available to the everyone everywhere for free.

Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!

#statistics #rprogramming

[Cherriheart]

I'm completely new to R and these videos have been so incredibly helpful for my stats course. Thank you!

[Jack-mviq]

Thanks, you saved my life, Sir... I was struggling with probability in R for my exam, which is tomorrow. And this video helped me a lot...🙏🙏🙏

[marcoventura]

Very interesting as usual.
We can add che Cumulative Probability plot of the CDF:
cuml=pnorm(x, mean=75, sd=5)
plot(x, cuml, type="l")

[dawood_analytics]

finally, I found my teacher. you r great sir

[justaguy]

This was a great video!  Concise and powerful,  just like R itself.  What is confusing is that the p functions like pnorm and ppois compute cumulative probabilities given a quantile.  The q functions like qnorm and qpois compute quantiles given a probability.  You use the word percentile and probability interchangeably.  Perhaps some clarification of terms is in order here.

[SampurnR]

Thanks for the refreshingly clear video tutorial..

One thing, though..
The command:
pnorm(x = 85, mean = 75, sd = 5, lower.tail = F)
will calculate the P(X > 85) and not P(X >= 85)

[kexinma]

Hi Marin, NICE video and I am learning R by myself and now cant stop learning with your viedos. One of the suggestion for that is to add some background knowledge about stat so that will help us better understanding the consept of the graphs. Thanks!

[kachan]

I really wanna thank you for this video, i've been stuck on something for hours and you explained it so clearly, sincerely thank you!

[marcelovhm]

Great stuff, great stuff. In the end I felt like the universe just opened up to me, haha!

[eceserin]

I wish you were my stat lecture, I cannot believe youtube is better than a uni in US.

[javi]

Great videos, really love them ... Excellente work... I am falling in love with RStudio even Thank you very much

[ThijsGieb]

Thank you so much for this simple and clear tutorial!

[randomfandom]

There's a mistake here. For P(x>=85), you must write pnorm(x=84, mean=75, sd=5, lower.tail=F). This is because when the lower.tail argument is set to FALSE, you get the probability of x > k (where k is the number you want), not x >= k. So setting x = 84 will give us the probability of 85 and above.

[yanishappadoo]

How to perform a binomial/normal/poisson distribution on the dataset?

[samiradilrubaali]

how will i get the P(3<=x<=10) for a negative binomial distribution?

[thatocyberspace]

I am so disappointed my favorite outro is not included in this video. The outro keeps me going all the time and that is why I love it.

[carlosalfonso]

Your videos are the best, R its quite powerful

[raguspag]

How do you correlate zscores to sigma ? In other words, how do you know that the probability is random or not chance occurance?

[alpstinger]

thanks a lot for this video. I just had one doubt - what does the y axis in the probability density curve tell?

[nz]

Hello Marin, Your tutorial are very easy to follow. Can you please make one on Propensity score matching. I ma struggling with this model.Thanks, Regards