1. Congratulations
Congratulations! You've reached the final video of this course. Let's briefly review what you've learned.
2. Chapter one
In chapter one you learned about the different types of survey variables that are typically analyzed, how to interpret inferential and descriptive statistics in surveys, and visualization functions like dot-scatter to aid with determining the most appropriate statistical modeling technique for survey analysis.
3. Chapter two
In chapter two, you learned two ways to create a random sample from a population data survey, account for sampling error with either stratified random sampling, weighted sampling, or cluster sampling, and learned visualization functions such as dot pie and dot barh to help present your survey results.
4. Chapter three
In chapter three, you learned the difference between descriptive and inferential statistics through some practical survey examples, and further interpreted the meaning of different variables, key measures such as central tendency and zscore, and interpreted results for actionable steps.
5. Chapter four
And finally, in chapter four, you learned the relatedness of two numerical variables in surveys with a linear regression, employed the two-sample t-test to compare the significance of two survey averages, and the relatedness of two categorical variables via the chi-square test.
6. The journey continues
You have dedicated your time to learn some invaluable tools and methods and you should be proud. With your new-found skill-set, you will be able to find solution to even more challenging issues that need survey analysis, such as the impact of our day-to-day routine on our global climate. I hope that you will find these tools and methods invaluable in your own work, and I wish you all the best in your learning journey.
7. Thank you
Thank you!