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5-4 Parameters for Binomial Distributions

5-4 Parameters for Binomial Distributions. In this section we consider important characteristics of a binomial distribution including center, variation and distribution. That is, given a particular binomial probability distribution we can find its mean, variance and standard deviation.

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5-4 Parameters for Binomial Distributions

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  1. 5-4 Parameters for Binomial Distributions In this section we consider important characteristics of a binomial distribution including center, variation and distribution. That is, given a particular binomial probability distribution we can find its mean, variance and standard deviation. A strong emphasis is placed on interpreting and understanding those values.

  2. Binomial Distribution: Formulas Mean Variance Std. Dev. Where n = number of fixed trials p = probability of success in one of the n trials q = probability of failure in one of the n trials

  3. Interpretation of Results maximum usual value = minimum usual value = It is especially important to interpret results. The range rule of thumb suggests that values are unusual if they lie outside of these limits:

  4. Example McDonald’s has a 95% recognition rate. A special focus group consists of 12 randomly selected adults. For such a group, find the mean and standard deviation.

  5. Example - continued Use the range rule of thumb to find the minimum and maximum usual number of people who would recognize McDonald’s. If a particular group of 12 people had all 12 recognize the brand name of McDonald’s, that would not be unusual.

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