5. For the first midterm in ECON 3402, the average score is 76 and the standard...
In an introductory statistics course, let x equal the midterm exam score and y equal the final exam score. Both have a mean of 84 and a standard deviation of 6. The correlation between the exam scores is 0.68. a. Find the regression equation. b. Find the predicted final exam score for a student with a midterm score of 84 and another with a midterm exam score of 93.
in an introductory statistics course, let x equal the midterm exam score and y equal the final exam score. Both have a mean of 79 and a standard deviation of 99. The correlation between the exam scores is 0.73 a. Find the regression equation. b. Find the predicted final exam score for a student with a midterm score of 79 and another with a midterm exam score of 89
The midterm scores for undergraduate statistics students were distributed as a normal distribution and they had the following statistics: a mean of 88 and a standard deviation of 4. If 2 extra points were added to each student's score, the mean is _____ and the standard deviation is _____. If all scores were increased by 25%, the mean is _____ and the standard deviation is _____.
Example 3 The scores on a midterm exam follow a normal distribution with an average of 80.4% and a standard deviation of 10.9%. Let X represent the score of a given student on this midterm exam. 1. What is the probability that a randomly selected student scores above a 90%? 2. What is the probability that a randomly selected student scores between 80% and 90%? 3. What is the 60th percentile score for this midterm exam?
A z score of 1.25 represents an observation that is a) 1.25 standard deviation below the mean. b) 0.25 standard deviations above the mean of 1. c) 1.25 standard deviations above the mean. d) both b and c Assume that your class took an exam last week and the mean and standard deviation of the exam were 85 and 5, respectively. Your instructor told you that 30 percent of the students had a score of 90 or above. You would...
The difference between a standard score of -1.0 and a standard score of 1.0 is a) the standard score 1.0 is farther from the mean than -1.0 b) the standard score -1.0 is farther from the mean than 1.0 c) the standard score 1.0 is above the mean while -1.0 is below the mean. d) the standard score -1.0 is above the mean while 1.0 is below the mean. 16 17 If the test scores on an art history exam...
The average score of all golfers for a particular course has a mean of 76 and a standard deviation of 5. Suppose 100 golfers played the course today. Find the probability that the average score of the 100 golfers exceeded 77.
Everyone in the class takes a test and receives a score, and the average is calculated. Everyone compares their test score to the average test score, and each person’s distance from the mean test score is their deviation. People who had really low test scores or really high test scores will have large distances, or deviations, from the mean, while people who had test scores that were similar to the mean will have small distances, or deviations. If a person’s...
The average final exam score for the statistics course is 76%. A professor wants to see if the average final exam score for students who are given colored pens on the first day of class is different. The final exam scores for the 13 randomly selected students who were given the colored pens are shown below. Assume that the distribution of the population is normal. 74, 88, 68,95, 84, 83, 70, 97, 66, 82, 67, 67, 86 What can be...
For a certain law school, the entering students have an average LSAT score of about 700 with a standard deviation of about 40. The smoothed density histogram of the LSAT scores appears to follow a normal distribution. Sketch a smoothed density histogram (a bell-shaped curve) of the distributions for the LSAT scores. (For this problem, draw this on your own paper. You will not need to submit this graph.) Because this distribution is approximately normal, the mean is equal to...