In this lesson, we are going to talk about the sampling distribution of the mean. Sampling distribution of the mean is a special case of sampling distributions. We will use abbreviation and call it SDOM - sampling distribution of the mean. We are going to use simulations online to see some principles that might arise out of season principle and regularities that arise about the shape, mean, standard deviation of the SDOM. We are also going to talk about how the principle of the SDOM has been proven in the central limit theorem. Finally, we are going to compare the population distributions that we have looked at before sample distributions as well as sampling distribution of the mean.
Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.
This book provides a clear and methodical approach to essential statistical procedures. It clearly explains the basic concepts and procedures of descriptive and inferential statistical analysis. This book features a new emphasis on expressions involving sums of squares and degrees of freedom as well as a stronger stress on the importance of variability.