Assume that a procedure yields a binomial distribution with a trial repeated n = 14 times. Use either the binomial probability formula (or a technology like Excel or StatDisk) to find the probability of k = 4 successes given the probability q= 0.79 of success on a single trial. %3D

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### Binomial Distribution Probability Calculation

Assume that a procedure yields a binomial distribution with a trial repeated \( n = 14 \) times. Use either the binomial probability formula (or a technology like Excel or StatDisk) to find the probability of \( k = 4 \) successes given the probability \( q = 0.79 \) of success on a single trial.

**(Report answer accurate to 4 decimal places.)**

\[ P(X = k) = \]
[Enter an integer or decimal number]

### Explanation of Steps:

1. **Understanding the Problem:**
   - We have a binomial distribution scenario.
   - Number of trials (\( n \)): 14
   - Number of successes (\( k \)): 4
   - Probability of success on a single trial (\( p \)): 0.79

2. **Using the Binomial Probability Formula:**
   The probability \( P(X = k) \) for a binomial distribution can be calculated using the formula:
   
   \[ P(X = k) = \binom{n}{k} p^k (1-p)^{n-k} \]
   
   Where:
   - \(\binom{n}{k}\) is the combination of n trials taken k at a time.
   - \( p^k \) is the probability of success raised to the power of the number of successes.
   - \( (1-p)^{n-k} \) is the probability of failure raised to the power of the number of failures.
   
3. **Calculation:**
   You can use a calculator, Excel, StatDisk, or any other technological tool to plug in the values and compute the probability.

### Detailed Steps for Using Excel:
1. Open Excel and click on a cell where you want to display the result.
2. Use the built-in function `BINOM.DIST(x, n, p, FALSE)`:
   - `x` = number of successes (k in this context, which is 4)
   - `n` = number of trials (14)
   - `p` = probability of success (0.79)
   - `FALSE` indicates it is for the exact probability, not cumulative.
   
   So the formula will be:
   \[ \text{=BINOM.DIST(4, 14, 0.79, FALSE)} \]
3. Press Enter to
Transcribed Image Text:### Binomial Distribution Probability Calculation Assume that a procedure yields a binomial distribution with a trial repeated \( n = 14 \) times. Use either the binomial probability formula (or a technology like Excel or StatDisk) to find the probability of \( k = 4 \) successes given the probability \( q = 0.79 \) of success on a single trial. **(Report answer accurate to 4 decimal places.)** \[ P(X = k) = \] [Enter an integer or decimal number] ### Explanation of Steps: 1. **Understanding the Problem:** - We have a binomial distribution scenario. - Number of trials (\( n \)): 14 - Number of successes (\( k \)): 4 - Probability of success on a single trial (\( p \)): 0.79 2. **Using the Binomial Probability Formula:** The probability \( P(X = k) \) for a binomial distribution can be calculated using the formula: \[ P(X = k) = \binom{n}{k} p^k (1-p)^{n-k} \] Where: - \(\binom{n}{k}\) is the combination of n trials taken k at a time. - \( p^k \) is the probability of success raised to the power of the number of successes. - \( (1-p)^{n-k} \) is the probability of failure raised to the power of the number of failures. 3. **Calculation:** You can use a calculator, Excel, StatDisk, or any other technological tool to plug in the values and compute the probability. ### Detailed Steps for Using Excel: 1. Open Excel and click on a cell where you want to display the result. 2. Use the built-in function `BINOM.DIST(x, n, p, FALSE)`: - `x` = number of successes (k in this context, which is 4) - `n` = number of trials (14) - `p` = probability of success (0.79) - `FALSE` indicates it is for the exact probability, not cumulative. So the formula will be: \[ \text{=BINOM.DIST(4, 14, 0.79, FALSE)} \] 3. Press Enter to
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