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Solutions - College of the Canyons
Solutions - College of the Canyons

1 Exercise 1: Statistics 213 (L05)
1 Exercise 1: Statistics 213 (L05)

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Basic principles of probability theory

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... • Instead, we divide up our scale using equal-width subintervals based on the precision of the measuring device. These subintervals have positive probability. ...
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Tests of Significance and Measures of Association

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... •To compute the mean, activate an empty cell and enter the following in the formula bar: =Average(b2:b13) and click the green checkmark. •To compute the median, activate an empty cell and enter the following in the formula bar: = Median(b2:b13) and click the green checkmark. •To compute the mode, ac ...
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C1_DES4

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Hypothesis testing

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DESCRIPTIVE STATISTICS: ONE VARIABLE, ONE SAMPLE

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Tripos questions on Statistics for the years 2004

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STATISTICS and PROBABILITY

...  A discrete random variable is a rv with a finite (or countably infinite) range. They are usually integer counts, e.g., number of errors or number of bit errors per 100,000 transmitted (rate). The ends of the range of rv values may be finite (0 ≤ x ≤ 5) or infinite (x ≥ 0). ...
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20 Sample Questions for statistics

Document
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... 1. There is a relationship between confidence intervals and twotailed hypothesis tests when the level of confidence and the level of significance add up to 1 2. The confidence interval and the width of the noncritical region are the same 3. The point estimate is the center of the confidence interval ...
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IMPROVING THE PRECISION OF ESTIMATES OF THE FREQUENCY OF RARE EVENTS P

Revision(UG1432)
Revision(UG1432)

Document
Document

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Foundations of statistics

Foundations of statistics is the usual name for the epistemological debate in statistics over how one should conduct inductive inference from data. Among the issues considered in statistical inference are the question of Bayesian inference versus frequentist inference, the distinction between Fisher's ""significance testing"" and Neyman-Pearson ""hypothesis testing"", and whether the likelihood principle should be followed. Some of these issues have been debated for up to 200 years without resolution.Bandyopadhyay & Forster describe four statistical paradigms: ""(1) classical statistics or error statistics, (ii) Bayesian statistics, (iii) likelihood-based statistics, and (iv) the Akaikean-Information Criterion-based statistics"".Savage's text Foundations of Statistics has been cited over 10000 times on Google Scholar. It tells the following.It is unanimously agreed that statistics depends somehow on probability. But, as to what probability is and how it is connected with statistics, there has seldom been such complete disagreement and breakdown of communication since the Tower of Babel. Doubtless, much of the disagreement is merely terminological and would disappear under sufficiently sharp analysis.
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