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Confidence Intervals
Confidence Intervals

Descriptive Statistics and Exploratory Data Analysis
Descriptive Statistics and Exploratory Data Analysis

Sampling Distributions - TI Education
Sampling Distributions - TI Education

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... Methods and formulas See Armitage, Berry, and Matthews (2002) or Snedecor and Cochran (1989). For a history of the concept of the mean, see Plackett (1958). When restricted to the same set of values (that is, to positive values), the arithmetic mean (x) is greater than or equal to the geometric mean ...
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... limitations of computing capabilities of these equipments the calculations performed are not always accurate and are subject to some approximations. This means that howsoever fine techniques a statistician may use, if computations are inaccurate, the conclusions he draws from an analysis of numerica ...
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... change from one problem to the next. For example, the population may be all of the houses in Vancouver, or the population may be all of the houses in a particular neighbourhood in Vancouver, or the population may be all of the houses which sold in that neighbourhood in Vancouver in a given year. A s ...
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8.2 z test for a mean Notes

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No Slide Title

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1 Psychology 281(001) Assignment 1 1. In your own words, describe

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Wikipedia's entry on Pearson's correlation

... The correlation coefficient ranges from −1 to 1. A value of 1 implies that a linear equation describes the relationship between X and Y perfectly, with all data points lying on a line for which Y increases as X increases. A value of −1 implies that all data points lie on a line for which Y decreases ...
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Inference for 1 Sample - SFU Mathematics and Statistics Web Server

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PERDI questions 2

... The Tyree family loves Cheerios and eats them every morning for breakfast. They consider themselves aficionados of Cheerios and claim that there is a difference in taste between the Cheerios in the small box, medium box, and large box. A friend of the family came to Thanksgiving dinner and decided t ...
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MATH 10: Elementary Statistics and Probability

Chapters 7 and 8 Sample Exercises Provide an appropriate response.
Chapters 7 and 8 Sample Exercises Provide an appropriate response.

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multiple choice questions

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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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