Your post gave an incredible post-traumatic stress to my statistics classes last year :P but you explained it all very well!
I'm a vet student so i don't usually use statistics unless i go into epidemiology, i actually just learned how to work with a program called Epiinfo which correlates data between many epidemiology studies, it shows p-value we use the null hypothesis, etc.... you know what I'm talking about
Are you also going to explain Poisson and binomial distributions? ( i think this is what they are called)
Thank you for your encouraging comment. That is simply hypothesis testing. Normal distribution is for continuous random variable and Poisson and Binomial distribution are for a discrete random variable. They are relatively easy to explain. I think I will explain those.
In future, Maybe, I will also request volunteers from steemstem members in data collection and analyze data to find out various inferences. That would be interesting I guess.
Everyone reading this post can find out the difference in content between wiki and this post. I don't know which part of the post is similar. I didn't even read wiki before posting this article. So, I didn't mentioned it as reference/source in the article(and I still won't).
Being A SteemStem Member
Your post gave an incredible post-traumatic stress to my statistics classes last year :P but you explained it all very well!
I'm a vet student so i don't usually use statistics unless i go into epidemiology, i actually just learned how to work with a program called Epiinfo which correlates data between many epidemiology studies, it shows p-value we use the null hypothesis, etc.... you know what I'm talking about
Are you also going to explain Poisson and binomial distributions? ( i think this is what they are called)
Thank you for your encouraging comment. That is simply hypothesis testing. Normal distribution is for continuous random variable and Poisson and Binomial distribution are for a discrete random variable. They are relatively easy to explain. I think I will explain those.
In future, Maybe, I will also request volunteers from steemstem members in data collection and analyze data to find out various inferences. That would be interesting I guess.
You forgot to add to add sup and sub-scripts to your sigma. But the rest is fine :)
Thank you !!
Hi! I am a robot. I just upvoted you! I found similar content that readers might be interested in:
https://en.wikipedia.org/wiki/Normal_distribution
Everyone reading this post can find out the difference in content between wiki and this post. I don't know which part of the post is similar. I didn't even read wiki before posting this article. So, I didn't mentioned it as reference/source in the article(and I still won't).
Can confirm that this is unique from wikipedia.
Thank you so much for confirming. :D