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To estimate the probability that the basketball player makes the next free throw, we can use the ratio of successful throws to total attempts.

The player made 155 successful throws out of 190 attempts. Thus, the estimated probability \( P \) is:

\[
P = \frac{\text{Number of successful throws}}{\text{Total number of attempts}} = \frac{155}{190}
\]

\[
P \approx 0.8158
\]

So, the estimated probability that the player makes the next free throw is approximately **0.816** (or 81.6%).

Would you like more details or have any other questions?

Here are 5 related questions to deepen your understanding:
1. How would the estimated probability change if the player made 170 out of 190 throws?
2. Can you explain why using past performance can be a good way to estimate future probabilities?
3. What is the probability if the player missed 45 throws out of 190 attempts?
4. How would you convert this probability into a percentage?
5. What assumptions are we making when we estimate the probability this way?

**Tip:** When estimating probabilities from past data, it's important to ensure that the conditions under which the data was collected are similar to the conditions in the future scenario.

A basketball player makes 155 out of 190 free throws. We would estimate the probability that the player makes the next free throw to be ____.

Learn how to estimate the probability of a basketball player making the next free throw, given they made 155 out of 190 free throws. This problem involves basic probability concepts and is suitable for students in Grades 6-8.

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