Date of publication: 2017-08-08 18:39

- Bernoulli Society for Mathematical Statistics and Probability
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- Statistics 110: Probability - Home | Projects at Harvard

Scatter Plots are introduced in this lesson. Examples illustrate how these Scatter Plots can show positive or negative correlations. Additionally, examples show how such correlations can be strong or weak.

Histograms are another convenient way to display data. A histogram looks similar to a bar graph, but instead of plotting each individual data value on the x-axis (the horizontal one), a range of values is graphed. Histograms are useful when you have numerical data that varies quite a bit.

Hello, Sherif, I think you may have posted in the wrong place, as this comment was meant for 8775 Dr Laxmisri 8776 and there is no one of that name here. I 8767 m not sure where you meant to post it. Best of luck!

Good day sir.

I am doing my thesis and I 8767 m going to cite you as my resource on how to test retest validity (thank you for that straight forward article). I cant find your complete name. Do you mind disclosing your name?

Where is the problem, I have negative and positive samples. The results negative samples for the viral quantification is zero, not a number. I don’t know what to do for the calculation.

Hello, Elbert,

I 8767 m going to politely disagree. While I agree he did argue for the earth-at-the-center-of-the-universe theory, he also argued for the round Earth theory. I don 8767 t state that Copernicus was the first, just that he was one of several scientists. Here is my source.

Stephanie

We wish to express our appreciation to those who assisted in the development of this website. We are particularly grateful to the following folks.

What is a Pie Chart? explains what pie charts are and how they show a slice of a circle to represent what fraction a given amount is of the whole. There are step-by-step instructions showing how to calculate the angles for each slice.

H. Pishro-Nik is a faculty member in the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst. He received a . degree from Sharif University of Technology, and . and . degrees from Georgia Institute of Technology, all in Electrical and Computer Engineering. His research interests include Information Theory, Error Control Coding, and mathematical analysis of wireless networks.

Good evening! I want to ask about DEFF. I 8767 ll be using cluster sampling for my reseaech among university student. From 66 faculties, 8 faculties will be randomly selected and 6 program will be selected under each selected faculties. All students from the selected programs will be invited. May I know if I can just estimate the DEFF value? Can I just estimate that my sample size will be higher than if I used simple random sampling? Thank you in advance!

The source code for this document is freely available on github and comes with a Attribution-NonCommercial-ShareAlike International License.

Thanks. This is a great site. i am glad I found you. I am interested in becoming a statistician so I will be using your site a lot. How can I benefit fully from your site? Is there a way I can down load the material I need to study and practice with?

Thanks

Jonathan

I have taken Elementary Statistics /Math 855 through Aleks. And I failed it. This is the last class for my BA degree, and I am worried I will not pass it again. Will your book help me get through this class. I am on SS only and have to pay for this class which is going to hurt me a lot. I want to order you book it looks like it will give me some hope in this class. If I order this how long will it take it to get to me?

Hi, Carl,

Thanks for your comments. I do get hits from people searching for algebra topics as well as statistics. I 8767 ve had questions in the past from people confused about the difference between algebra variables, statistics variables etc., so I wanted the term 8775 variable 8776 to be as general as possible. Most of the people visiting this site are not math majors they are liberal arts majors struggling to understand statistics, so I try to simplify the terms as much as possible. I fear that putting the definition 8775 a place holder in a data matrix 8776 will completely confuse most liberal arts folks.

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