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16 Chapter Generalizing a Sample’s Findings to Its
16 Chapter Generalizing a Sample’s Findings to Its

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PDF

Chapter 3: The Normal Distributions
Chapter 3: The Normal Distributions

... example featured a random sample of 11 boys from an underserved country that had an average hemoglobin level of 11.3 g/dl with a standard deviation of 1.5. Is there significant evidence, at the .05 level of significance that the average Hb level for boys from this country is below 12, which results ...
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... An argument in propositional logic is a sequence of propositions. All but the final proposition in the argument are called premises and the final proposition is called the conclusion. An argument is valid if the truth of all its premises implies that the conclusion is true. ...
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... structure?” Though in many cases this question will turn out to be hopelessly complex, it turns out that some logics in some situations are not powerful enough to define properties with any probabilities other than 0 or 1. Results of this form, known as zeroone laws, are of central importance in the ...
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Statistics for Decision Making in Modern Tourism Assigned by Dr

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To What Type of Logic Does the "Tetralemma" Belong?

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Lecture 9: Measures of Central Tendency and Sampling Distributions

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[Ch 3, 4] Logic and Proofs (2) 1. Valid and Invalid Arguments (§2.3

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Bootstrap Confidence Intervals

< 1 2 3 4 5 6 7 8 9 ... 43 >

Statistical inference

Statistical inference is the process of deducing properties of an underlying distribution by analysis of data. Inferential statistical analysis infers properties about a population: this includes testing hypotheses and deriving estimates. The population is assumed to be larger than the observed data set; in other words, the observed data is assumed to be sampled from a larger population.Inferential statistics can be contrasted with descriptive statistics. Descriptive statistics is solely concerned with properties of the observed data, and does not assume that the data came from a larger population.
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