75.5 approx.
It can be.
Formula for standard error (SEM) is standard deviation divided by the square root of the sample size, or s/sqrt(n). SEM = 100/sqrt25 = 100/5 = 20.
There is no actual "smallest" observation - a standard deviation of zero means that all 100 of the observations had to be 46.
The mean for the WISC, like the WAIS, is 100. The deviations from 100, or standard deviations, are 15.
The answer depends on what the standard deviation is.
Standard deviation is 0.
It can be.
Standard deviation is the square root of the variance. Since you stated the variance is 4, the standard deviation is 2.
Standard Deviation = (principal value of) the square root of Variance. So SD = 10.
Formula for standard error (SEM) is standard deviation divided by the square root of the sample size, or s/sqrt(n). SEM = 100/sqrt25 = 100/5 = 20.
2
Bob scored 300 or 700.
There is no actual "smallest" observation - a standard deviation of zero means that all 100 of the observations had to be 46.
.The test has a mean, or average, standard score of 100 and a standard deviation of 16 (subtests have a mean of 50 and a standard deviation of 8). The standard deviation indicates how far above or below the norm the subject's score is.
The mean for the WISC, like the WAIS, is 100. The deviations from 100, or standard deviations, are 15.
Standard deviation is a calculation. It I used in statistical analysis of a group of data to determine the deviation (the difference) between one datum point and the average of the group.For instance, on Stanford-Binet IQ tests, the average (or, mean) score is 100, and the standard deviation is 15. 65% of people will be within a standard deviation of the mean and score between 85 and 115 (100-15 and 100+15), while 95% of people will be within 2 standard deviations (30 points) of the mean -- between 70 and 130.
100 x (standard deviation/mean)