A measure of variability provides information about individual differences.
Eliminating some scores from a point near the mean will increase the standard deviation.
Consider the two scores, 4 and 8. SS = 8.
SS/n = variance.
At one stage of calculation we have S= the square root of (-36). From this, we know that we have madeanerrorcomputation.
A frequency distribution of observations is approximately normal with and The middle 95% of the cases will fall (approximately) between 50 and 70.
A distribution of 80 observations is approximately normal with a mean of 120 and a range of 50. Which of the following is the most reasonable value for the standard deviation? 10
A frequency distribution of scores is normal with a mean of 80 and a standard deviation of 9. Roughly two thirds of the cases fall between scores of 71 and 89.
In a normal distribution, we expect about what percent of scores to fall above a score three standard deviations below the mean? i. e., above x-bar - 3s. more than 99%
If performance is normally distributed, and grades of A are given to those who score at 1 standard deviation above the mean or better, we should expect about what proportion of students to earn an A? 16%
Given: x-bar1 is < x-bar2 and S1 > S2 You therefore know that S pooled is closer to S2 than S1.
Seniors at two universities take the Graduate Record Examination. Students from the first institution earn a mean of 520; those from the second, 505. The standard deviation of this test of 100. Would you say that seniors at the first institution seem to be a littlesuperior to those at the second.