Mathematics, 16.12.2021 21:00 Alexishp33
Consider a binomial distribution with n = 10 trials and the probability of success on a single trial p = 0.85.
(a) Is the distribution skewed left, skewed right, or symmetric?
(b) Compute the expected number of successes in 10 trials.
(c) Given the high probability of success p on a single trial, would you expect P(r β€ 3) to be very high or very low? Explain.
1) Very low. The expected number of successes in 10 trials is more than 3, and p is so high that it would be common to have so few successes in 10 trials.
2) Very high. The expected number of successes in 10 trials is more than 3, and p is so high that it would be unusual to have so few successes in 10 trials.
3) Very low. The expected number of successes in 10 trials is more than 3, and p is so high that it would be unusual to have so few successes in 10 trials.
4) Very high. The expected number of successes in 10 trials is more than 3, and p is so high that it would be common to have so few successes in 10 trials.
(d) Given the high probability of success p on a single trial, would you expect
P(r β₯ 8) to be very high or very low? Explain.
1) Very low. The expected number of successes in 10 trials is more than 8, and p is so high that it would be unusual to have 8 or more successes in 10 trials.
2) Very low. The expected number of successes in 10 trials is more than 8, and p is so high that it would be common to have 8 or more successes in 10 trials.
3) Very high. The expected number of successes in 10 trials is more than 8, and p is so high that it would be common to have 8 or more successes in 10 trials.
4) Very high. The expected number of successes in 10 trials is more than 8, and p is so high that it would be unusual to have 8 or more successes in 10 trials.
Answers: 3
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Write the component forms of vectors u and v, shown in the graph, and find v β 2u. u= (< -3, -2> , < -3, -1> , < -2, -2> , < -2, -1> ) v= (< -5, 1> , -4, 0> , < 0, -4> , < 1, -5> ) v-2u= (< 5, 3> , < 0, 4> , < 4, 0> , < 5, -3>
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Consider a binomial distribution with n = 10 trials and the probability of success on a single trial...
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