Questions: Determine whether the given procedure results in a binomial distribution. If not, state the reason why. Rolling a single die 26 times, keeping track of the numbers that are rolled A. Not binomial: there are too many trials. B. Not binomial: there are more than two outcomes for each trial. C. Not binomial: the trials are not independent. D. The procedure results in a binomial distribution.

Determine whether the given procedure results in a binomial distribution. If not, state the reason why.
Rolling a single die 26 times, keeping track of the numbers that are rolled
A. Not binomial: there are too many trials.
B. Not binomial: there are more than two outcomes for each trial.
C. Not binomial: the trials are not independent.
D. The procedure results in a binomial distribution.
Transcript text: Determine whether the given procedure results in a binomial distribution. If not, state the reason why. Rolling a single die 26 times, keeping track of the numbers that are rolled A. Not binomial: there are too many trials. B. Not binomial: there are more than two outcomes for each trial. C. Not binomial: the trials are not independent. D. The procedure results in a binomial distribution.
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Solution

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Solution Steps

Step 1: Identify the Characteristics of a Binomial Distribution

A binomial distribution requires the following conditions to be met:

  1. A fixed number of trials \( n \).
  2. Each trial has only two possible outcomes (success or failure).
  3. The probability of success \( p \) is constant across trials.
  4. The trials are independent.
Step 2: Analyze the Given Procedure

In the given scenario, we are rolling a single die 26 times. Let's evaluate the conditions:

  • Fixed Number of Trials: \( n = 26 \) (This condition is satisfied.)
  • Two Possible Outcomes: Each roll of a die can result in one of six outcomes: \( 1, 2, 3, 4, 5, 6 \). Since there are more than two outcomes, this condition is not satisfied.
  • Constant Probability: While the probability of rolling any specific number (e.g., rolling a \( 1 \)) is \( p = \frac{1}{6} \), this is irrelevant since the previous condition is not met.
  • Independence of Trials: Each roll does not affect the others, so this condition is satisfied.
Step 3: Conclusion

Since the second condition is not satisfied (there are more than two outcomes for each trial), the procedure does not result in a binomial distribution.

Final Answer

The answer is B.

\(\boxed{B}\)

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