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Hypothesis Testing: One Sided vs Two Sided Alternative | Statistics Tutorial #14 |MarinStatsLectures
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Hypothesis Testing: One Sided vs Two Sided Alternative Test (One Tailed vs Two Tailed Test) with Example; What is the different between a one sided alternative hypothesis and two sided alternative hypothesis in statistics? How does the P value differ for these and how to interpret the hypothesis test?
In this statistics video lecture, we will learn the difference between a One Sided Alternative Hypothesis (or one sided test, or one tailed test) versus a Two Sided Alternative Hypothesis (or two sided test, or two tailed test) working through an example. How the p values, significance levels and effect size for one sided vs two sided hypothesis testing in statistics.
There is little practical difference between a 1 vs 2 sided hypothesis test in statistics, although it is important to understand the difference between the two.
In this statistics video, we spend more time on the statistical concept and explanations and less time on calculations.
►► Watch More:
Follow MarinStatsLectures
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
In this statistics video lecture, we will learn the difference between a One Sided Alternative Hypothesis (or one sided test, or one tailed test) versus a Two Sided Alternative Hypothesis (or two sided test, or two tailed test) working through an example. How the p values, significance levels and effect size for one sided vs two sided hypothesis testing in statistics.
There is little practical difference between a 1 vs 2 sided hypothesis test in statistics, although it is important to understand the difference between the two.
In this statistics video, we spend more time on the statistical concept and explanations and less time on calculations.
►► Watch More:
Follow MarinStatsLectures
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
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