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What z-score value separates the highest 40 percent of the scores from the rest of the distribution?
Wiki User
∙ 11y ago
0.2533
Wiki User
∙ 11y ago
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What is a negative frequency distribution?
If most the population has many high scores, the distribution is negatively skewed. If most have many low scores, it is positively skewed
1 The average of the squared deviation scores from a distribution mean?
Variance
What is one advantage of transforming X values into z-scores?
True or False, One major advantage of transforming X values into z-scores is that the z-scores always form a normal distribution
What percentage of scores fall between 0 and -2 in a normal distribution?
2
Is it possible for more than 50 percent of the scores in a distribution to have values greater than the mean?
Yes. Consider the values 0,1,1,1,1,1,1,1,1,1 The mean is 0.9 9 out of 10 values are higher than this mean, which is obviously more than 50%.
For a normal distribution what z-score value separates the lowest 10 percent of the scores from the rest of the distribution?
-1.28
What z-score value separates the highest 10 of the scores in a normal distribution from the lowest 90?
It is 1.281551
What z-score separates the top 10 percent from the rest of the scores?
z = 1.281551
What percent of the scores in a normal distribution will fall within one standard deviation?
It is 68.3%
Is the median is always the point that is arithmetically exactly halfway between the highest and lowest scores of distribution?
false
In a standard normal distribution about percent of the scores fall above a z-score of 3.00?
0.13
The mean of a distribution of scores is the?
The mean of a distribution of scores is the average.
In a standard normal distribution about percent of the scores fall above a z score of 300?
A Z score of 300 is an extremely large number as the z scores very rarely fall above 4 or below -4. About 0 percent of the scores fall above a z score of 300.
How do you find the scores at the 60th percentile in a set of 200 scores?
You can't do this without knowing the distribution of scores.
Scores on a test are normally distributed with a mean of 61 and a standard deviation of 10.2 Find which separates the bottom 81 percent from the top 19 percent?
(X-61)/10.2=.878 X = 69.95 approximately 70
How would you characterize the distribution of scores in a normal distribution?
They are said to be Normally distributed.
When the mean of a distribution of scores of measures is higher than the median the distribution would be?
The distribution is skewed to the right.
