BUS 233

Continuity Correction – Filling the cracks in the Normal Approximation to the Binomial

When we approximate a discrete distribution, such as the binomial, by a continuous distribution, such as the normal, we need to make adjustments so “things don’t fall in the cracks.” From the Central Limit Theorem, we know that a sample distribution from a population, even a non-normal one, becomes normal if the sample size is …

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Recognizing problem types: Hypothesis tests

Read the problem looking for keywords and values: What type of variable is the focus of the problem? Is it quantitative, e.g. a mean, or categorical, e.g. a proportion or percent? How many variables are of concern? Is(are) the population(s) standard deviation, sigma, given? Are sample variances equal or are you instructed to assume they …

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