A basketball player makes 110 out of 130 free throws. We would estimate the probability that the player makes the next free throw to be

as likely as me juggling flaming rubber chickens while riding a unicycle. In other words, the probability is "far-fetched"!

To estimate the probability that the basketball player makes the next free throw, we can use the observed success rate from the previous free throws.

First, we need to determine the success rate (also known as the proportion) of made free throws. We can calculate this by dividing the number of successful free throws by the total number of free throws attempted.

Success rate = Number of successful free throws / Total number of free throws attempted

In this case, the basketball player made 110 out of 130 free throws. Therefore, the success rate is:

Success rate = 110 / 130 ≈ 0.8462

To estimate the probability that the player makes the next free throw, we can assume that the success rate remains constant. So, the estimated probability would be equal to the success rate.

Estimated probability = Success rate ≈ 0.8462

Therefore, we would estimate the probability that the player makes the next free throw to be approximately 0.8462 or 84.62%.

To estimate the probability that the basketball player makes the next free throw, we can use the fraction of successful free throws made in the past as an estimate.

In this case, the player made 110 out of 130 free throws. To estimate the probability, we divide the number of successful free throws by the total number of attempts. So, the estimated probability can be calculated as:

Estimated Probability = Number of Successful Attempts / Total Number of Attempts

Plugging in the given values:

Estimated Probability = 110 / 130

Dividing 110 by 130, we find that the estimated probability is approximately 0.846 or 84.6%.

Therefore, we estimate that the basketball player has an 84.6% probability of making the next free throw.

110/130 = .846