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data prep and descriptive stats
data prep and descriptive stats

Chapter 3
Chapter 3

Math 116 - Final Review
Math 116 - Final Review

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Calvin and Hobbes cartoon

Hypothesis Testing
Hypothesis Testing

Lecture 3: Statistical sampling uncertainty
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... across the samples, then a useful strategy to estimate statistical uncertainty is to break the time series up into chunks which are long enough not to be strongly correlated with each other, perform the data analysis on each chunk separately, and compare the results for different chunks. In testing ...
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Quizch21

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Standard Deviation - Avon Community School Corporation



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sample standard deviation

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Class3 - MIT Media Lab

In statistics, mean has two related meanings:
In statistics, mean has two related meanings:

... Step 6. Divide the sum of squares by the number of data points (5). The result is 31.04 square inches. This is the mean of the squared deviations. Other names for this number are Mean Square or Variance. Variance is much-used in statistical work. Step 7. Since variance is still a squared value, we n ...
Confidence Interval
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... Is symmetric about the mean. The mean, median, and mode are equal to 0 and are located at the center of the distribution. Curve never touches the x-axis. Variance is greater than 1. As sample size increases, the t distribution approaches the standard normal distribution. Has n-1 degrees of freedom. ...
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Performance Element 3.04

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EpiBasic

hsm11a2ep_041
hsm11a2ep_041

... 14. To mark its eighth anniversary, Pizzeria Otto has a special coupon that offers the same price on a pizza with any combination of the 8 original toppings. Each pizza must have exactly 3 toppings. How many different kinds of pizza can be ordered with the ...
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Using Statistics in Research Revisions

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=> Manual REST 2005 - Gene

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1342Lecture8.pdf

... population whose mean height is greater than five millimeters. Using our results, botanists might carry out further studies with seeds in space looking for a possible way to produce larger plants. The example above is called a one-tail test because the alternate hypothesis created an emphasis on one ...
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GRACEY/STATISTICS

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File

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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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