WorksheetsTute 5
Total questions: 7
Worksheet time: 4mins
In a rectangular distribution, a Z-score of 0 would be equivalent to the:
a. 1st percentile
b. 16th percentile
c. 50th percentile
d. 84th percentile
e. 98th percentile
For a normal distribution with a mean of 40 and a standard deviation of 10, what is the approximate value of a score that would fall at the 95th percentile:
a. 50
b. 56
c. 60
d. 64
e. 80
When raw scores are transformed into Z-scores, then the Z-scores:
a. Are normally distributed
b. Maintain the same mean and standard deviation as the raw scores
c. Have no values below zero
d. Have the same shaped distribution as the raw scores
eWill add up to 1
Which of the following is not true of a normal distribution?
a. it is symmetrical about its mean
b. the tails approach the X-axis asymptotically
c. there is only a small percentage of scores in the tails of the distributions
d. there is always 68.26% of the scores between Z=-1 and Z=+1
e. the standard deviation of the scores is always the same
In a positively skewed distribution, the sum of the Z-scores would be:
a. zero
b. greater than zero
c. less than zero
d. +1
e. -1
In a normal distribution, the percentage of scores between the mean and a score one standard deviation above the mean:
a. Depends upon the value of the standard deviation
b. is always a fixed percentage
a. Depends upon the mean
a. Depends on the interquartile range
e. Depends upon the shape of the distribution
Which of the following does not apply to all distributions after conversion from raw scores to Z-scores?
a. They always have a mean of 0
b. They always have a standard deviation of 1
c. They always have a variance of 1
d. They are always normal
e. c and d
