To estimate the probability of getting an offspring bean that is green, we use the following formula for probability:

$\text{Probability} = \frac{\text{Number of green beans}}{\text{Total number of beans}}$

Given:

• Number of green beans = 471
• Number of yellow beans = 150

Total number of beans = 471 + 150 = 621.

Thus, the probability of getting a green bean is:

$\text{Probability} = \frac{471}{621}$

Now, I'll calculate and convert this probability to a percentage rounded to one decimal place.

The estimated probability of getting a green bean is 75.8%.

Now, regarding whether this result is reasonably close to the value that was expected, you stated "yes," indicating that the observed probability aligns with expectations.

Would you like more details or have any questions?

Here are 5 related questions to expand on this topic:

1. How do geneticists typically use probability in predicting offspring traits?
2. What factors could cause deviations between expected and observed probabilities in genetic experiments?
3. How does Mendelian inheritance influence the probability of dominant and recessive traits in offspring?
4. What is the significance of sample size in ensuring the accuracy of probability estimates?
5. Could environmental factors affect the expression of genes in offspring?

Tip: In probability experiments, larger sample sizes generally lead to more accurate estimates and results that are closer to theoretical expectations.