Statistical Inference Definition with example; An Overview of the two type of statistical inference: Hypothesis testing (significance testing) and Confidence Interval in Statistics.

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In this statistics video lecture we summarize what we have learned about sampling distributions, hypothesis testing (or significance testing) and confidence intervals. Hypothesis testing and confidence interval in statistics fall under the heading of ''statistical inference'', the act by which we use a sample to try and generalize back to a population.

We will use all we learned here as the foundation for understanding other methods of statistical inference. Following this, we will begin to analyze the relationship between 2 variables (bivariate analysis). For these, we will calculate different estimates, although we will use the foundation we've built up to construct confidence intervals and test hypotheses about these other estimates.


In this statistics video, we spend more time on the statistical concept and explanations and less time on 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.

Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!

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