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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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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!
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