One-Sample t Test & Confidence Interval in R with Example | R Tutorial 4.1| MarinStatsLectures

One sample t test in statistics is also know as single sample t test. The one sample t test and confidence interval are parametric methods appropriate for examining a single numeric variable.

■Table of Content:

0:00:11 when do we use one sample t-test and confidence interval?
0:00:35 how to conduct the one-sample t-test and the confidence interval in R
0:00:41 how to access the Help menu in R for the one sample t-test
0:01:05 how to test a null and one-sided alternative hypothesis for the mean with a one-sided confidence interval in R using
0:02:40 how to produce a two-sided hypothesis test and confidence interval in R
0:03:16 how to create a 99 percent confidence interval in R using the "conf" argument
0:03:46 how to see different attributes of an object in R using
0:03:59 how to extract specific attributes of an object in R

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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!

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[noacaspi]

this was so helpful i have a midterm for this tomorrow and you were the only straight-forward resource on the internet that explained how to change the confidence interval in t-tests

[areslusitanii]

I started my PhD two months ago. I didn't "play" with statistics for nearly 12 years. Totally lost, I am (still) finding my way through your videos. Thank you so much for sharing the knowledge!

[motylanoga]

I will recommend your tutorials to all people that wanna begin their adventure with R :)

[pasinduranasinghe]

in the example, the alternative hypothesis is (mu>8), If I am not mistaken then the code has to be corrected as alt="greater" instead of "less
"

[lB]

Mike, thanks for making these videos. They are so helpful to a novice like myself!

[soha]

why are these videos so good? thank you so much!

[shairozsohail]

If you specified Ho as mu<8 then why did you set 'alternative' parameter in t.test to 'less'?  Wouldn't alternative be mu=>8 ?

[joseluisbeltramone]

Thank you very much for the good content.

[shubhamgupta]

HI Marin thanks for all these videos these are very helpful, i would like to do a thorough practice for R. I would like to know if you could put and recommendation material for R and any book?

Thanks

[nilakshidas]

can we calculate varience from p value and xi2 and no of dof ?

[ugyennorbu]

Thank you for the videos, they are great.

Can you help me how to do t-test in R if sample mean and sample variance is known but not the individual samples itself.

In you example, sample mean and variance are calculated from the values in the table. However, I am required to do a test when data is not known, only the mean & variance.

[wissalms]

Hello ! Can I use the same command for hypothesis test : mean <= 20 vs mean >20???

[kengking]

May I know if R can also perform SQL by itself?

[tiisetsomashele]

Your videos are so helpful. Thank you.How would you perform a test where you test if the variance of one sample is  greater than a specified number?

[nalichandi]

Hi Mike, what i learnt for one sample t test, as null hypothesis we always took mu =110( 110 as a example) and alternative is mu> 110....
1... My question is, is R always consider the Ho and H1 as you took??
2... I tried to solve the question which i did in my school with R..But the answers are totally different??
Data( 156, 123, 92, 56, 73, 101, 101, 174, 100, 125, 64, 165, 110, 83, 109, 182), mu=110, Conf=5%
3...Do we use t distribution for small sample size??? like n<30 ???

[emmanuel_dean]

how do you know you know to define mu as less than 8? do you just make it up? Like, How did you know to use that specific number

[phyzicsall]

Hi, this is probably a silly question, but what exactly is "mu". I know it is a null hypothesis, but a how is it significant? Do I need a value of "mu" to make my t-test mean something? Cause "R" will perform the test either way.
For one sample I got a t-test value of "0.2" and for the other "0.6". Something tells me that "0.2" one is more accurate but i am not sure.
Sorry, I am new to this type of data/error analysis but I want to learn it as I study physics (second year).
Thanks!

[bettys]

Do you also have One-Sample Z Test in R radio available? Thank you!

[andredevera]

Hi, how can I actually change my level of significance using R ?

[ryanthoni]

What packages do I need to have downloaded to do this? I just downloaded R, and tried and even the box plot step couldn't get done. I assume I need a suite of packages. Frustrating when I can even get past the first step.