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Similar a Here are the steps to solve this problem:1. The sampling follows a binomial distribution since we are sampling a fixed number (7) of items with a fixed probability of success/failure (defective vs not defective) and each trial is independent.2. The two hypotheses are: H1: Defective proportion is 10% H2: Defective proportion is 30% 3. The likelihoods are: H1: Binomial(7,0.1) probability of 2 defects = 0.1296 H2: Binomial(7,0.3) probability of 2 defects = 0.2430 4. Hypothesis H2 has a higher likelihood of
Similar a Here are the steps to solve this problem:1. The sampling follows a binomial distribution since we are sampling a fixed number (7) of items with a fixed probability of success/failure (defective vs not defective) and each trial is independent.2. The two hypotheses are: H1: Defective proportion is 10% H2: Defective proportion is 30% 3. The likelihoods are: H1: Binomial(7,0.1) probability of 2 defects = 0.1296 H2: Binomial(7,0.3) probability of 2 defects = 0.2430 4. Hypothesis H2 has a higher likelihood of (20)
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Here are the steps to solve this problem:1. The sampling follows a binomial distribution since we are sampling a fixed number (7) of items with a fixed probability of success/failure (defective vs not defective) and each trial is independent.2. The two hypotheses are: H1: Defective proportion is 10% H2: Defective proportion is 30% 3. The likelihoods are: H1: Binomial(7,0.1) probability of 2 defects = 0.1296 H2: Binomial(7,0.3) probability of 2 defects = 0.2430 4. Hypothesis H2 has a higher likelihood of
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