1. Mike scores an 85 on a test that has a standard deviation of 15. His z-score is -1.0 so what is the test's mean?
| A. |
Impossible to tell, there's not enough information |
|
| B. |
100 |
|
| C. |
15.87 |
|
| D. |
70 |
2. Jill scores an 82 on a test that has a mean of 76. Her z-score is +1.5 so what is the test's standard deviation?
| A. |
Impossible to tell, there's not enough information |
|
| B. |
4 |
|
| C. |
9 |
|
| D. |
6 |
3. Miranda takes a test that has a mean of 58 and a standard deviation of 10. Her z-score is 2.4 so what is her raw score?
| A. |
Impossible to tell, there's not enough information |
|
| B. |
60.4 |
|
| C. |
34 |
|
| D. |
82 |
1. Mike scores an 85 on a test that has a standard deviation of 15. His...
Scores on a test have a mean of 75 and a standard deviation of 8. Michelle has a score of 91. Convert Michelle's score to a z-score. Options: A: -2 B: 2 C: -16 D: 16
1. A normal distribution of scores has a standard deviation of 10. Find the z-scores corresponding to each of the following values: a. A score that is 20 points above the mean. b. A score that is 10 points below the mean. c. A score that is 15 points above the mean. d. A score that is 30 points below the mean.
intelligence test #1 has a mean of 100 and a standard deviation of 5. A person #1 scores 95 on this test. what is that person's z-score? intelligence test #2 has a mean of 100 and a standard deviation of 8. A different person #2 scores 94 on this test. What is this person's z-score? what person (#1 or #2) scored "better" assuming for the moment that an intelligence test measure anything of consequences?
IQ-scores are standard-score transformed scores having a mean of 100 and a standard deviation of 15; SAT scores are standard-score transformed scores having a mean of 500 and a standard deviation of 100. In what follows, X refers to a raw score from a distribution with a mean of X and a standard deviation of S, and SAT and IQ refer to the corresponding transform of that score. Solve for the missing value in each of the following: (a) X=-2.5;Xmean=...
A standardized test's scores are normally distributed with a mean a 500 and a standard deviation of 100. If 1200 students take the test, how many would you expect to score over 650? Round your answer to the nearest whole number.
Problem 1. 531.1 and standard deviation a-29.4 (2 points) The scores of students on the SAT colloge entrance examinations at a certain high school had a normal distribution with mean (a) What is the probability that a single student randomly chosen from all those taking the test scores 536 or higher? ANSWER For parts (b) through (d), consider a simple random sample (SRS) of 30 students who took the test (b) What are the mean and standard deviation of the...
A test of reading ability has mean 60 and standard deviation 5 when given to third graders. Sixth graders have mean score 83 and standard deviation 11 on the same test. To provide separate "norms" for each grade, we want scores in each grade to have mean 100 and standard deviation 20. (Round your answers to two decimal places.) (a) What linear transformation will change third-grade scores x into new scores xnew = a + bx that have the desired...
In preparation for the upcoming school year, a teacher looks at raw test scores on the statewide standardized test for the students in her class. Instead of looking at the scores relative to the norms in the state, the teacher wants to understand the scores relative to the students who will be in the class. To do so, she decides to convert the test scores into z-scores relative to the mean and standard deviation of the students in the class....
In preparation for the upcoming school year, a teacher looks at raw test scores on the statewide standardized test for the students in her class. Instead of looking at the scores relative to the norms in the state, the teacher wants to understand the scores relative to the students who will be in the class. To do so, she decides to convert the test scores into z-scores relative to the mean and standard deviation of the students in the class....
The distribution of the test scores of students has an unknown mean and a standard deviation equal to 150 points. Suppose 900 students are picked at random. What is the probability that the mean score of these students will differ from their true mean score by more than 6 points?