Question

When can the Empirical Rule be used to identify unusual results in a binomial experiment? Why can the Empirical Rule be used to identify results in a binomial experiment? Choose the correct answer below. A. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from $\mu - 2\sigma$ to $\mu + 2\sigma$. The Empirical Rule can be used to identify results in binomial experiments when $np(1-p)\ge 10$. B. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from $\mu - 2\sigma$ to $\mu + 2\sigma$. The Empirical Rule can always be used to identify results in binomial experiments. C. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from $\mu - 2np$ to $\mu + 2np$. The Empirical Rule can be used to identify results in binomial experiments when $np(1-p) \ge 10$. D. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from $\mu - 2\sigma$ to $\mu + 2\sigma$. The Empirical Rule can be used to identify results in binomial experiments when $np(1-p) \le 10$.

          When can the Empirical Rule be used to identify unusual results in a binomial experiment? Why can the Empirical Rule be used to identify results in a binomial experiment?
Choose the correct answer below.
A. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from $\mu - 2\sigma$ to $\mu + 2\sigma$. The Empirical Rule can be used to identify results in
binomial experiments when $np(1-p)\ge 10$.
B. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from $\mu - 2\sigma$ to $\mu + 2\sigma$. The Empirical Rule can always be used to identify results
in binomial experiments.
C. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from $\mu - 2np$ to $\mu + 2np$. The Empirical Rule can be used to identify results in
binomial experiments when $np(1-p) \ge 10$.
D. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from $\mu - 2\sigma$ to $\mu + 2\sigma$. The Empirical Rule can be used to identify results in
binomial experiments when $np(1-p) \le 10$.

$When can the Empirical Rule be used to identify unusual results in a binomial experiment? Why can the Empirical Rule be used to identify results in a binomial experiment? Choose the correct answer below. A. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from $\mu - 2\sigma$ to $\mu + 2\sigma$. The Empirical Rule can be used to identify results in binomial experiments when np(1-p)≥ 10. B. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from $\mu - 2\sigma$ to $\mu + 2\sigma$. The Empirical Rule can always be used to identify results in binomial experiments. C. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from $\mu - 2np$ to $\mu + 2np$. The Empirical Rule can be used to identify results in binomial experiments when np(1-p) ≥ 10. D. When the binomial distribution is approximately bell shaped, about 95% of the outcomes will be in the interval from $\mu - 2\sigma$ to $\mu + 2\sigma$. The Empirical Rule can be used to identify results in binomial experiments when np(1-p) ≤ 10.$

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