In this video, we are first going to contrast the normal distribution against standard normal distribution. Then we are going to talk about some normal distribution problems and contrast that with standard normal distribution problems. We will see how to transform normal distribution to 'standard' normal distribution and some differences between them. We will also mention z score, raw score, mean, and the standard deviation (SD), and the relationship that they have to each other. Some of examples are going to be done using Excel. At the end we are going to talk about the different types of problems concerning this topic.
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The second way of doing it is by using Excel or your calculator.0694
If you do not have a fancy TI something calculator, it should also come with similar functions to Excel.0703
I’m going to show you those two methods of how to go from weird z scores to probabilities of their z scores and vice versa.0710
How to go from the probabilities, like weird probabilities like 50%.0720
We do not know where like 51% but we do not know what this value would be for 51%.0725
how to go from those weird probabilities into that weird z scores.0733
First, let us talk about the method by using the tables in the back of your butt.01225.1 Usually it is the first table you will see back there, table A or something like that and let us break it down.0739
A lot of tables looks somewhat like this one here might look slightly different than probably roughly similar.0752
And what it shows you up here is exactly what probability is plotted down here. 0760
What it shows you is the probability that shown certain on the negative side.0765
Everything below the z score and this is what we call the cumulative probability because you are accumulating it as we go right.0771
It is adding up all the probabilities on this side.0783
This is showing you the cumulative probability at the z score.0786
The table entry for z is the probabilities lying below z. 0793
Here the z scores and these are the probabilities.0801
Now for the weird z scores, what would really be helpful is if we had z scores of - .34, -.341, -3.42, -3.43.0804
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.