answersLogoWhite

0

Ah, where are the good old days, when a score of 72 was always better than a score of 62,

and that was all you needed to know, and it didn't matter how well or poorly anybody else

in the class was doing ?

Sam Levinson used to tell about the time his son brought home a report card, and on the

report card the teacher had written "For him, he is doing good", and Sam used to say,

"Now all I need to know is: Who is 'him' ?"

User Avatar

Wiki User

15y ago

What else can I help you with?

Continue Learning about Math & Arithmetic

What is the mean and standard deviation of a distribution of T-scores?

The answer depends on the degrees of freedom (df). If the df > 1 then the mean is 0, and the standard deviation, for df > 2, is sqrt[df/(df - 2)].


Assume that aset of test scores is normally distributed with a mean of 100 and a standard deviation of 20 use the 68-95-99?

68% of the scores are within 1 standard deviation of the mean -80, 120 95% of the scores are within 2 standard deviations of the mean -60, 140 99.7% of the scores are within 3 standard deviations of the mean -40, 180


If a test score of 83 was transformed into a standard score of -1.5 and the standard deviation of the scores was 4 what is the mean?

78


How are scores distributed if the mean is 100 and the standard deviation is 15?

If the mean score is 100 and the standard deviation is 15, the distribution of scores is likely to follow a normal distribution, also known as a bell curve. In this distribution, approximately 68% of scores fall within one standard deviation of the mean (between 85 and 115), about 95% fall within two standard deviations (between 70 and 130), and about 99.7% fall within three standard deviations (between 55 and 145). This pattern indicates that most scores cluster around the mean, with fewer scores appearing as you move away from the center.


What is the standard deviation for Woodcock-Johnson III Tests of achievement?

The standard deviation for the Woodcock-Johnson III Tests of Achievement is typically set at 15. This is consistent with many standardized tests, which use a mean of 100 and a standard deviation of 15 to represent scores on a normal distribution. This allows for the interpretation of individual test scores in relation to the broader population.

Related Questions

If the standard deviation of 10 scores is 0?

If the standard deviation of 10 scores is zero, then all scores are the same.


If standard deviation of 10 scores is 0?

All the scores are equal


The standard deviation is the square root of the average squared deviation of scores from the?

mean


Is the variance of a group of scores the same as the squared standard deviation?

The standard deviation is defined as the square root of the variance, so the variance is the same as the squared standard deviation.


What does standard deviation show us about a set of scores?

Standard Deviation tells you how spread out the set of scores are with respects to the mean. It measures the variability of the data. A small standard deviation implies that the data is close to the mean/average (+ or - a small range); the larger the standard deviation the more dispersed the data is from the mean.


What is The average IQ for a student in the UK?

The average IQ for a student in the UK is around 100, which is considered to be in the normal range. IQ scores are standardized to have a mean of 100 and a standard deviation of 15.


How do you create five scores with a mean of 10 and a standard deviation of 0?

Since the standard deviation is zero, the scores are all the same. And, since their mean is 10, they must all be 10.


Why does the standard deviation get smaller as the individual in a group score more similarly on a test?

Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller. Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller. Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller. Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller.


What is the mean and standard deviation of a distribution of T-scores?

The answer depends on the degrees of freedom (df). If the df > 1 then the mean is 0, and the standard deviation, for df > 2, is sqrt[df/(df - 2)].


What is the range and standard deviation when the variance for a set of scores is 25?

5


How do you calculate standard deviation with the help of z-score?

A z-score cannot help calculate standard deviation. In fact the very point of z-scores is to remove any contribution from the mean or standard deviation.


Which measure would you use to fine the spread of marks in an examination?

The measure commonly used to find the spread of marks in an examination is the standard deviation. It provides a numerical value that indicates how spread out the scores are from the mean score. A larger standard deviation suggests a wider spread of scores, while a smaller standard deviation indicates a more clustered distribution of scores.