12. Basic Computation: Binomial Distribution Consider a binomial experiment with n = 7 trials where the probability of success on a single trial is p = 0.60. (a) Find P(r = 7). (b) Find P(r≤ 6) by using the complement rule. 13. | Basic Computation: Binomial Distribution Consider a binomial experiment with n = 6 trials where the probability of success on a single trial is p = 0.85. (a) Find P(r ≤ 1). (b) Interpretation If you conducted the experiment and got fewer than 2 successes, would you be surprised? Why?

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Please answer number 13. All parts! Make sure to show work!! Thanks! 

### Basic Computation: Binomial Distribution

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**Problem 12.**
Consider a binomial experiment with \( n = 7 \) trials where the probability of success on a single trial is \( p = 0.60 \).

**(a) Find \( P(r = 7) \).**

**(b) Find \( P(r \leq 6) \) by using the complement rule.**

---

**Problem 13.**
Consider a binomial experiment with \( n = 6 \) trials where the probability of success on a single trial is \( p = 0.85 \).

**(a) Find \( P(r \leq 1) \).**

**(b) Interpretation:** If you conducted the experiment and got fewer than 2 successes, would you be surprised? Why?

---

This section contains exercises on basic computations involving binomial distributions. These tasks help in understanding how to compute probabilities in binomial experiments and interpret the results.
Transcribed Image Text:### Basic Computation: Binomial Distribution --- **Problem 12.** Consider a binomial experiment with \( n = 7 \) trials where the probability of success on a single trial is \( p = 0.60 \). **(a) Find \( P(r = 7) \).** **(b) Find \( P(r \leq 6) \) by using the complement rule.** --- **Problem 13.** Consider a binomial experiment with \( n = 6 \) trials where the probability of success on a single trial is \( p = 0.85 \). **(a) Find \( P(r \leq 1) \).** **(b) Interpretation:** If you conducted the experiment and got fewer than 2 successes, would you be surprised? Why? --- This section contains exercises on basic computations involving binomial distributions. These tasks help in understanding how to compute probabilities in binomial experiments and interpret the results.
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