Question

6 In a uniform probability distribution, the outcomes are equally likely. 7 Suppose, an experiment consists of 5 independent trials and the probability of success for each single trial is 0.2. The probability of getting at least 1 success in this experiment is approximately 0.672. 8 Suppose, an experiment consists of 5 independent trials and the probability of success for each single trial is 0.2. The expected number of successes in this experiment is 1. 9 Suppose, an experiment consists of 5 independent trials and the probability of success for each single trial is 0.2. To evaluate P (x = 4) using a built-in function in g-sheet we enter = binomdist (4, 5, 0.2, true)

          6 In a uniform probability distribution, the outcomes are equally likely.

7 Suppose, an experiment consists of 5 independent trials and the probability of success for each single trial is 0.2. The probability of getting at least 1 success in this experiment is approximately 0.672.

8 Suppose, an experiment consists of 5 independent trials and the probability of success for each single trial is 0.2. The expected number of successes in this experiment is 1.

9 Suppose, an experiment consists of 5 independent trials and the probability of success for each single trial is 0.2. To evaluate P (x = 4) using a built-in function in g-sheet we enter

= binomdist (4, 5, 0.2, true)

6 In a uniform probability distribution, the outcomes are equally likely.

7 Suppose, an experiment consists of 5 independent trials and the probability of success for each single trial is 0.2. The probability of getting at least 1 success in this experiment is approximately 0.672.

8 Suppose, an experiment consists of 5 independent trials and the probability of success for each single trial is 0.2. The expected number of successes in this experiment is 1.

9 Suppose, an experiment consists of 5 independent trials and the probability of success for each single trial is 0.2. To evaluate P (x = 4) using a built-in function in g-sheet we enter

= binomdist (4, 5, 0.2, true)

Added by Alba J.

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