Suppose that a set of exam scores has a mean of 75 and a variance of 25 Assume that the exam scores are normally distributed. What is the probability that an exam score is between 75 and 77?
Suppose that a set of exam scores has a mean of 75 and a variance of 25. Assume that the exam scores are normally distributed. What is the probability that an exam score is between 75 and 77?
SOLUTION:
Step 1: Identify the parts of the word problem. The word problem will identify:
The mean (average or μ) — 75
Standard deviation (σ) — 5
Standard deviation is the square root of variance.
X: the numbers associated with “between” — 75 and 77
Step 2:Figure out the z-scores and Find the area in the z-table. Plug the X values into the z value formula and solve. The μ (the mean), is 75.
NOTE: If a Z-score is 0, it indicates that the data point's score is identical to the mean score.
See the attachedpicturesfor the z-table and thegraph (illustration).
Step 3: Add the computed z-scores to get the probability or area between 0 and 0.4. You can also convert them in percent.
ANSWER:
The probability that an exam score is between 75 and 77 is 0.15542.
Answers & Comments
Verified answer
PROBLEM:
Suppose that a set of exam scores has a mean of 75 and a variance of 25. Assume that the exam scores are normally distributed. What is the probability that an exam score is between 75 and 77?
SOLUTION:
Step 1: Identify the parts of the word problem. The word problem will identify:
Standard deviation is the square root of variance.![\rm \sqrt{25} = 5 \rm \sqrt{25} = 5](https://tex.z-dn.net/?f=%5Crm%20%20%5Csqrt%7B25%7D%20%20%3D%205%20)
Step 2: Figure out the z-scores and Find the area in the z-table. Plug the X values into the z value formula and solve. The μ (the mean), is 75.
NOTE: If a Z-score is 0, it indicates that the data point's score is identical to the mean score.
See the attached pictures for the z-table and the graph (illustration).
Step 3: Add the computed z-scores to get the probability or area between 0 and 0.4. You can also convert them in percent.
ANSWER: