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Practical 1
Practical 1

... Now you will use a spreadsheet, or a statistical package for the calculations. So courses can be more practical and no longer need to include formulae. BUT, if you could understand and use the simplest formulae, then it will give you more confidence in using the computer for your analyses. And you m ...
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... or mathematical statistics deals with the development, derivation, and proof of statistical theorems, formulas, rules, and laws. Applied statistics concerns the applications of those theorems, formulas, rules and laws to solve real-world problems. Applied statistics is divided into two branches: des ...
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... A built-in scientific calculator for the course has been incorporated into the website and can be found in the tool bar above each module and exam page. If you choose to purchase a calculator, keep in mind that you do not need to purchase an expensive calculator as the features you will need are ava ...
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... to calculate confidence intervals (approximate values will be provided). For small samples, drawn from a Normal distribution, the t-distribution can be used to calculate confidence intervals. Note: The t-distribution is correct to use for all sample sizes, when the standard deviation is estimated fr ...
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QNT 275 Entire Course

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... Box and Wisker ...
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Misuse of statistics

Statistics are supposed to make something easier to understand but when used in a misleading fashion can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy.The false statistics trap can be quite damaging to the quest for knowledge. For example, in medical science, correcting a falsehood may take decades and cost lives.Misuses can be easy to fall into. Professional scientists, even mathematicians and professional statisticians, can be fooled by even some simple methods, even if they are careful to check everything. Scientists have been known to fool themselves with statistics due to lack of knowledge of probability theory and lack of standardization of their tests.
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