To determine the correct distribution to describe the situation where we are randomly selecting a ball from a jar containing blue, green, and red balls, we first need to identify the total number of balls in the jar and the probability of success (selecting a green ball).
Given:
- Number of blue balls = 17
- Number of green balls = 5
- Number of red balls = 3
Total number of balls: \[ 17 \text{ (blue)} + 5 \text{ (green)} + 3 \text{ (red)} = 25 \text{ (total)} \]
Probability of selecting a green ball (success): \[ P(\text{green}) = \frac{\text{Number of green balls}}{\text{Total number of balls}} = \frac{5}{25} = \frac{1}{5} = 0.2 \]
Since the ball is returned to the jar after each selection, the trials are independent, making this a scenario suitable for a binomial distribution.
Parameters:
- Number of trials (n) = 8 (since we are drawing 8 times)
- Probability of success (p) = 0.2 (the probability of selecting a green ball)
Thus, the situation can be modeled by:
Binomial distribution with number of trials = 8 and probability of success = 0.2.
So, the correct choice is:
- binomial with number of trials 8 and probability of success 0.2