t Distribution and t Scores in R | R Tutorial 3.4 | MarinStatsLectures

t Distribution and t Scores in R: How to calculate probability for t score in R? Learn with examples. 👉🏼t-distribution in statistics & probability video: • t-distribution in Stat... 👍🏼 Best Statistics & R Programming Language Tutorials: ( goo.gl/4vDQzT )
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In this video, you will learn how to calculate probabilities and find quantiles (or critical values) for the student t distribution in statistics using R. We will present the pt, dt and qt functions in R programming language.
This video is a tutorial for programming in R Statistical Software for beginners, using RStudio.
►► Watch More:
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►Graphs and Descriptive Statistics in R (Series 2): bit.ly/2PkTneg
►Probability distributions in R (Series 3): bit.ly/2AT3wpI
►Bivariate analysis in R (Series 4): bit.ly/2SXvcRi
►Linear Regression in R (Series 5): bit.ly/1iytAtm
►ANOVA Concept and with R Videos: bit.ly/2zBwjgL
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[@marinstatlectures]

In this video, we learn to calculate probabilities and find quantiles (or critical values) for the student t distribution in statistics using R. In this tutorial We will work with pt, dt and qt functions among others in R . To learn more about the concept of t-distribution in statistics & probability watch this video: kzbin.info/www/bejne/qYfOq4N_ZrJqg9U

[@ajufsd]

wow, it was awesome.. You made my work easy. Thanks a lot from Kerala, India.

[@marinstatlectures]

You're welcome Aju Mohan , happy we could help!

[@shassas77]

Very thankful to have you here

[@marinstatlectures]

you're welcome +Shahram Hassas !

[@nalinathukorala5474]

Hi Mike, I'm really interesting about your videos!! It gives massive support to me.. I feel i need to know more about Probability and Statistics..For that could you please tell me the good sources which i can refer as a beginner .Thanks!!

[@marinstatlectures]

Hi +nalin athukorala , I'm hesitant to recommend certain texts/sources, as it depends on many things: where you are in the world, free vs paid resources, the type of coverage you're looking for such as applied stats vs mathematical stats. but id say that most intro stats text books cover the same general set of topics, so find one that you like, that you have access to, etc. be weary of the things you can find online, as i see quite a number of things posted online that are incorrect, so if you are going that route, check the credibility of the source to make sure they know that they're talking about.

[@superdahoho]

thank you Jesus!

[@marinstatlectures]

Don’t thank him, Mike and Ladan made this video ;)

[@RiddaAli]

hi,Mike... your videos are very helpful could you please share p-values of well known distributions...in detail

[@ชัยณรงค์เพียรภายลุน]

thank you very much

[@marinstatlectures]

you're welcome!

[@ชัยณรงค์เพียรภายลุน]

hello; i'm student master degree for Khon kaen University in Thailand.

[@ชัยณรงค์เพียรภายลุน]

MarinStatsLectures I have one more for code R and distribution, I don't understand about code distribution. 1. Student(3) ? 2. Beta(1,2) ? 3. Weibull(1,2) ? Help me please. Thank you so much.

[@crgIN07]

remember n-1 to get your degrees of freedom!! I was confused about why my t-score was off. it makes sense why r would not do that for you, but don't make my mistake!!

[@80deween]

Hi Mike, Can i know why did you use -2.3(negative 2.3) when getting the two sided p-value without using +2.3(positive 2.3)[ at 2.24 min of the video] ?

[@marinstatlectures]

HI +Deween Lojitha , there i was working out the 2-tail probability...the probability of t>2.3 or t2.3) + P(t

[@80deween]

Hey Mike, Thank you. what i wanted to know was why did you use t

[@marinstatlectures]

Hi Deween Lojitha , you're welcome! it's difficult to provide a thorough answer here, but here's a quick one. the estimate was 2.3 SEs above what would be expected in the null hypothesis were true. a one sided test asks the question "how likely would you be to get an estimate that is 2.3 SEs, or more, ABOVE what is expected if the null were true?"...so you find the area above 2.3. a "two-sided" test asks the question "how likely would you be to get an estimate that is 2 SEs, or more, AWAY (above or below) what is expected if the null were true?"...so you want to know how often would yo get an estimate 2.3 SEs above expected OR 2.3 SEs below expected...so you find the area above 2.3 and the area below -2.3. hope that clears it up. it is challenging to teach with only words, and no pictures/visuals to help with the explanation.

[@thecerebrum.]

You rock

[@mdjahidulislam6480]

How can we get the data file to practise it?

[@abeaumont10]

How to calculate when it is noncentral t distribution?

[@meshackamimo1945]

Prof, Thanks for this posting..self explanatory as usual. You made my year,in 2015. I have a problem. I have three datasets,namely,x,y, and z..respectively named longitudes,latitudes, and temperature in degree Centigrades... I want to generate a 2D contour plot of parameter z,using r commands. Kindly help me with the commands....for the contourplot of these datasets... Longitudes..23456,23578,24567,25678,23211. Latitudes......32122,33214;34500;35446;34000 Temperature.. 12;34;54;23;21 Also,remember my earlier requests..... I still await your r videos on Bayesian analysis, mcmc , winbugs , and kalman filtering.... All done in r or studio. Happy New Year 2015

[@marinstatlectures]

Hi meshack amimo , thanks we appreciate you saying that! you can check out the help menu for the function *filled.contour*, or you can also check out the *lattice* package. if you install that package, it has a lot of functions built for making nice contour plots, and things like that. as I've mentioned before, we make these videos in our spare time in order to serve some of the courses that I am teaching; we make these videos available to public for free as many others can make use of them as well. these videos are built on one another and have a flow to them in a series, and the topics you request are more advanced, and not where our series of videos is at yet.

[@antarhossain4904]

need r programming code for lattice structure, sir

[@DividedStates]

Why p=0.025?

[@baristaseli9401]

95% is the Level Of Confidence in other words 0.95...This is the area representing the confidence interval based on 95% of Level of confidence. The other regions i.e the lower tail part below the lower bound of the lower z value plus the upper tail, that is above the upper bound of the z-value make up the rest of the area, which is 1 - 0.95 = 0.05 in other words 5%. (We subtract from 1 as the probability of the whole area is always adds up to 1. ) If we divide 0.05 by 2 we get 0.025. This is the area on either side of the distribution graph, either below the lower bound of the z-value i.e z_0.025 or above the upper bound of the z value i.e. z_0.975...

[@GEORGE-ki9xm]

How come that t-stat=2.3 became a q=2.3?

[@GEORGE-ki9xm]

Nevermind, I found :)

[@JackIsNotInTheBox]

it's sad this is the only tutorial I can find for this. After this many years... smh

[@philippesenechal8756]

460 Volts