Hypothesis Testing: Calculations and Interpretations| Statistics Tutorial #13 | MarinStatsLectures

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In this statistics video lecture, we discuss the process of testing a hypothesis, using a One Sample t test (Student’s t test). We will define the null and alternative hypothesis, alpha or significance values and p-values. We will work through calculating a hypothesis test for the mean and the interpretations of a hypothesis test (interpreting significant results). We also stress the importance of providing a confidence interval along with a hypothesis test.
We will focus on the concepts, and not the calculations.

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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.

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"We don't know which one is true but we can decide which one is likely" (...) "we have evidence to belive that the alternative is true". This is the essence of hypotesis testing". Very very good! We missed a course like this.

marcoventura
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Prof. Marin, Thank you so much for another great video. There are many stats courses on YouTube, but yours is different. You can bridge gaps in understanding that I didn't even know I had.

vivianbarros
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Absolutely love your videos. You explain concepts so clearly, best explanations I've ever come across. THANK YOU!

terrier
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Thanks a lot! I really like your work, you explain things so clear! Keep it up please!

zzantares
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Thanks for these videos! Shared with a couple friends :)

alexmolyneux
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Donnu why it is divided by the standard error instead of the standard deviation... When do we use one or the other?

AlexKashie
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Please, I can not understand how you plotted the curve on which you tested the null. You used the hypothesized value as the mean with the sample standard deviation to plot the curve..

hussienali
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is the video flipped or how to you write?

nicoleweigelt
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I have to know. Are you writing backwards on glass or is there some other mechanism st play. If you are writing backward I am impressed!!!…lol.. videos are great!

robertpollock
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Great video...small doubt
Is a hypothesis always based on population data? I mean just like population BMI

somyajain
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Hi Sir, please clarify why did you use 2 for t value instead of 2.064? as per T table for DF = 24 and alpha .025, the t value should be 2.064.

abonady
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Hello Marin, a big-big thanks for this great lecture series. I have a doubt, t-value for df =24, 95% alpha one-tailed appears to be around 1.711 hence we should reject the null .It appears either I am reading the table wrong or I am missing something. need your advice..Thank you once again

anandprakash
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DOUBT: How the Z value is calculated here, can you give me a hint. Unable to comprehend.

prabhavpadotra
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someone: how many times have you watched this video?
Me:
somone: ten times?
me: more
someone: twenty times?
me: more
someone: thirty times?
me: more
someone: forthy times?
me: more

mzimasiqinga