Question
Which of the following percentages accurately estimates the area under a normal curve between a z-score of −0.11
and 2.43?(1 point)
Responses
99.25 percent
99.25 percent
54.38 percent
54.38 percent
53.63 percent
53.63 percent
45.62 percent
and 2.43?(1 point)
Responses
99.25 percent
99.25 percent
54.38 percent
54.38 percent
53.63 percent
53.63 percent
45.62 percent
Answers
GPT-4o mini
To find the area under a normal curve between a z-score of -0.11 and 2.43, we can use a standard normal distribution table or a calculator that provides cumulative probabilities for normal distributions.
1. **Find the cumulative probability for z = -0.11**:
Using a normal distribution table, the cumulative probability for z = -0.11 is approximately 0.4562 (or 45.62%).
2. **Find the cumulative probability for z = 2.43**:
The cumulative probability for z = 2.43 is approximately 0.9925 (or 99.25%).
3. **Calculate the area between the two z-scores**:
Area between z = -0.11 and z = 2.43 = P(Z < 2.43) - P(Z < -0.11)
= 0.9925 - 0.4562
= 0.5363 (or 53.63%).
Therefore, the correct percentage that accurately estimates the area under the normal curve between a z-score of -0.11 and 2.43 is:
**53.63 percent**.
1. **Find the cumulative probability for z = -0.11**:
Using a normal distribution table, the cumulative probability for z = -0.11 is approximately 0.4562 (or 45.62%).
2. **Find the cumulative probability for z = 2.43**:
The cumulative probability for z = 2.43 is approximately 0.9925 (or 99.25%).
3. **Calculate the area between the two z-scores**:
Area between z = -0.11 and z = 2.43 = P(Z < 2.43) - P(Z < -0.11)
= 0.9925 - 0.4562
= 0.5363 (or 53.63%).
Therefore, the correct percentage that accurately estimates the area under the normal curve between a z-score of -0.11 and 2.43 is:
**53.63 percent**.