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Fenster schliessen

obtaining numerical measurements

Fenster schliessen

organization of data into tables, graphs or charts so that logical and statistical conclusions can be manifested

tabulation or presentation
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extracting from the given data relevant information

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drawing conclusions

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step 1 of statistical analysis

defining the problem
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step 2 of statistical analysis

collecting and assembling relevant information
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step 3 of statistical analysis

conducting an original investigation of the problem
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step 4 of statistical analysis

classifying the data
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step 5 of statistical analysis

presenting the data
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step 6 of statistical analysis

analyzing and interpreting the results
Fenster schliessen

first introduced the word "statistics"

Fenster schliessen

gambler who wrote the first known study of the principles of probability

Girotamo Cardano
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dicovered the equation for normal distribution

De Moivre
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applied the theory of probabilty to anthropological measurements and expanded the same principle o the field of psychology and education

father of modern stats

Adolf Quetelet
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developed the use of percentiles and contributed the application of stats to heredity

Sir Francis Galton
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worked with Galton to develop the theory of regression and correlation

Karl Pearson
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develop methods for decision-making derived from smaller sets of data

William S. Gosset
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developed Fisher's test used in the analysis of variance

Sir Ronald Fisher
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a single figure that is representative of the general level of magnitudes of the items in a set of data

measure of central tendency or position or location
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arithmetic average of all the scores

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most frequent score

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central value that divides the ordered data samples into 2

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describes distance of the score from the median

measure of variability
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distance from the middle

how far above or below from the mean

standard deviation
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same as standard but square root is not taken

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distance between the highes and lowest

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to describe group characteristics by collection of summarizing data

descriptive stats
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to describe a population by studying a random sample

inferential stats
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should come from a population with normal distribution

parametic stats
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does not require any assumption 

nonparametic stats