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Aug 6th, 2022
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How to Lay Statistic Charter For Free

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hi all its uh dr jardin here and today i want to recommend my two favorite free statistics programs so ive been teaching stats for behavioral science now for five or six years and uh basically uh im always asking what whats the best route to go after because a lot of times in classes and college theyll give you a program like spss or sas and it costs a lot of money to to get that license and once you graduate great you learned a program that you could use but if the job you have doesnt allow that doesnt pay for that license youre kind of stuck and some of the programs that i teach and that i recommend are free so you can add value to your company wherever you go because you can bring that with you and you dont have to charge the company money to use software so my favorite one for basic statistics the kind of stuff you would look at the descriptive statistics inferential statistics is jamobi and then for data science machine learning is the anaconda distribution using python

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In 2007, toothpaste company Colgate ran an ad stating that 80% of dentists recommend their product. Based on the promotion, many shoppers assumed Colgate was the best choice for their dental health. But this wasnt necessarily true. In reality, this is a famous example of misleading statistics.
Statistical Sources DES (Data Access Tools) A number of different databases from the U.S. Census Bureau. Ersys. Includes detailed statistics on nearly every metropolitan area in the US. Explore Census Data. Data and Statistics About the U.S. Google Data Set Search. Pew Research Center. Statistical Sources.
One of the easiest ways to misrepresent your data is by messing with the y-axis of a bar graph, line graph, or scatter plot. In most cases, the y-axis ranges from 0 to a maximum value that encompasses the range of the data. However, sometimes we change the range to better highlight the differences.
3 Ways to Lie with Statistics. Based on the concepts presented above, there are three that a researcher might misrepresent things in presenting statistics: Amplifying the Importance of Statistical Significance. Capitalizing on Type-I Error. Failing to Report on Effect Size Information.
Statistical Sites on the World Wide Web Bureau of Economic Analysis. Bureau of Justice Statistics. Bureau of Labor Statistics. Bureau of Transportation Statistics. U.S. Census Bureau. Economic Research Service. Energy Information Administration. National Agricultural Statistics Service.
It does not denigrate the practice of statistical analysis itself (though you will not learn even a single technique from statistical theory in its 144 pages), but rather serves as a lighthearted cautionary tale about how easy it is to become convinced that statistics carry all the weight of science even though
When numbers appear, the reader believes some truth is about to be imparted. Even a nonsensical statement such as this carries the air of authority until the meaning sinks in. Yes, using statistics to lie is easy - as you will soon see.
A data sample is a small representative sample of a bigger statistical population. Huff uses an example of a barrel of red and green beans. Rather than count every bean to see how many red beans there are, you grab a handful thinking the red/green ratio in your hand is similar to whats in the barrel.
It is easy to lie with statistics, but easier to lie without them.
a difference is a difference only if it makes a difference. The secret language of statistics, so appealing in a fact-minded culture, is employed to sensationalize, inflate, confuse, and oversimplify. A well-wrapped statistic is better than Hitlers big lie it misleads, yet it cannot be pinned on you.

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