(MRH_CH03-3004) You work at a manufacturing line and are doing acceptance sampling. You have been refining the process s
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(MRH_CH03-3004) You work at a manufacturing line and are doing acceptance sampling. You have been refining the process s
(MRH_CH03-3004) You work at a manufacturing line and are doing acceptance sampling. You have been refining the process so it's getting better with every widget. When you started, any individual widget could pass inspection with probability 0.70, and now it's up to 0.90 and continues to improve. Every day at the beginning of your work shift, you sample 10 widgets. Each widget is independent of the other widgets, and will pass inspection with the given probability. You want to model the number of trials that result in a success as a binomial random variable. This is O going to require more math involving the numbers .70 and .90, as well as the number 10 O not a binomial random variable, because the probabilities do not all sum to 1 O better modeled as a trendline in Excel O not a binomial random variable, because your probability of success is not the same all the timegoing to require more math involving the numbers .70 and .90, as well as the number 10 O Cannot determine from available information
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