Assume that a procedure yields a binomial distribution with a trial repeated n = 5 times. Use some form of technology to find the probability distribution given the probability p = 0.708 of success on a single trial. (Report answers accurate to 4 decimal places.) k P(X = k) 2 4.

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**Binomial Distribution Example**

In this exercise, a procedure results in a binomial distribution with a trial repeated \( n = 5 \) times. The goal is to find the probability distribution with a success probability \( p = 0.708 \) on a single trial. Use technology or statistical methods to calculate each probability, rounding the answers to four decimal places.

### Probability Distribution Table

| \( k \) | \( P(X = k) \) |
|---|---|
| 0 |  |
| 1 |  |
| 2 |  |
| 3 |  |
| 4 |  |
| 5 |  |

**Instructions:**

- Calculate the probability \( P(X = k) \) for each value of \( k \) from 0 to 5.
- Ensure that your answers are accurate to four decimal places.
- Depending on your method, this might involve using a binomial probability formula or software that supports statistical functions.

**Formula Reminder:**

- The binomial probability formula is:
  \[
  P(X = k) = \binom{n}{k} p^k (1-p)^{n-k}
  \]
  where \( \binom{n}{k} \) is the binomial coefficient, \( p \) is the probability of success, and \( n \) is the number of trials.
Transcribed Image Text:**Binomial Distribution Example** In this exercise, a procedure results in a binomial distribution with a trial repeated \( n = 5 \) times. The goal is to find the probability distribution with a success probability \( p = 0.708 \) on a single trial. Use technology or statistical methods to calculate each probability, rounding the answers to four decimal places. ### Probability Distribution Table | \( k \) | \( P(X = k) \) | |---|---| | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | **Instructions:** - Calculate the probability \( P(X = k) \) for each value of \( k \) from 0 to 5. - Ensure that your answers are accurate to four decimal places. - Depending on your method, this might involve using a binomial probability formula or software that supports statistical functions. **Formula Reminder:** - The binomial probability formula is: \[ P(X = k) = \binom{n}{k} p^k (1-p)^{n-k} \] where \( \binom{n}{k} \) is the binomial coefficient, \( p \) is the probability of success, and \( n \) is the number of trials.
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