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Hypothesis Testing - personal.kent.edu
Hypothesis Testing - personal.kent.edu

... The magnitude of s (or s2) – since we’re dividing by s, smaller values of s result in larger values of t or z [i.e. we want to decrease variability in our sample (error)] The sample size – the bigger the bigger t and z The significance level (α) – the smaller the α, the higher the critical t to reje ...
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... categorical variables. Consider the variable, Supports Obama. The variable has two categories, yes and no. We will consider the yes category as a “success” and the no category a “failure”. Suppose we have a population of 1000 voters, and 550 support Obama. We define proportion of success for the pop ...
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... - It would not make sense to say that the vendor sold -3 sandwiches or to use any other negative numbers. - It would not make sense to say the vendor sold , sandwiches, e sandwiches, or sandwiches. - It would make sense to say that the vendor sold 0, 1, 2, or any whole number of sandwiches. Thus, th ...
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German tank problem



In the statistical theory of estimation, the problem of estimating the maximum of a discrete uniform distribution from sampling without replacement is known in English as the German tank problem, due to its application in World War II to the estimation of the number of German tanks.The analyses illustrate the difference between frequentist inference and Bayesian inference.Estimating the population maximum based on a single sample yields divergent results, while the estimation based on multiple samples is an instructive practical estimation question whose answer is simple but not obvious.
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