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
45.62 percent
45.62 percent
54.38 percent
54.38 percent
53.63 percent
53.63 percent
99.25 percent
99.25 percent
and 2.43?(1 point)
Responses
45.62 percent
45.62 percent
54.38 percent
54.38 percent
53.63 percent
53.63 percent
99.25 percent
99.25 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 the cumulative distribution function (CDF) for the standard normal distribution.
1. First, look up the cumulative probability for each z-score using standard normal distribution tables or a calculator.
- For a z-score of -0.11:
- The cumulative probability is approximately 0.4562 (or 45.62%).
- For a z-score of 2.43:
- The cumulative probability is approximately 0.9925 (or 99.25%).
2. To find the area between these two z-scores, subtract the cumulative probability of -0.11 from that of 2.43:
\[
\text{Area} = P(Z < 2.43) - P(Z < -0.11) = 0.9925 - 0.4562 = 0.5363 \text{ or } 53.63\%.
\]
So, the area under the normal curve between a z-score of -0.11 and 2.43 is approximately 53.63 percent. The correct response is:
**53.63 percent**
1. First, look up the cumulative probability for each z-score using standard normal distribution tables or a calculator.
- For a z-score of -0.11:
- The cumulative probability is approximately 0.4562 (or 45.62%).
- For a z-score of 2.43:
- The cumulative probability is approximately 0.9925 (or 99.25%).
2. To find the area between these two z-scores, subtract the cumulative probability of -0.11 from that of 2.43:
\[
\text{Area} = P(Z < 2.43) - P(Z < -0.11) = 0.9925 - 0.4562 = 0.5363 \text{ or } 53.63\%.
\]
So, the area under the normal curve between a z-score of -0.11 and 2.43 is approximately 53.63 percent. The correct response is:
**53.63 percent**