Wiki User
∙ 12y ago68%
412-400 =12
12/25 =.48
Z score of .48 = .6843
Cumulative area under scale.
Wiki User
∙ 12y ago75
MAT scores are normally distributed with a mean of 400 and a standard deviation of 25. z = (468-400)/25 = 2.72 Pr { N <= 2.72 } ~= 0.9967 IOW, percentile is about 99.67.
88.49% 430-400 =30 30/25 = 1.2 Z score pf 1.2 = .8849
A 403 on the Millers Analogies Test MAT is a 45.2 percent. This is calculated by the flowing: 375-405 scores are -3, -3/25 - -.12 Standard Deviations, since the MAT has a STD Dev of 25. The cumulative area for a Z score of -.12 is .4522
Basic vocabulary and a brush up on The Classics would get you that score.
75
MAT scores are normally distributed with a mean of 400 and a standard deviation of 25. z = (468-400)/25 = 2.72 Pr { N <= 2.72 } ~= 0.9967 IOW, percentile is about 99.67.
88.49% 430-400 =30 30/25 = 1.2 Z score pf 1.2 = .8849
A 403 on the Millers Analogies Test MAT is a 45.2 percent. This is calculated by the flowing: 375-405 scores are -3, -3/25 - -.12 Standard Deviations, since the MAT has a STD Dev of 25. The cumulative area for a Z score of -.12 is .4522
Basic vocabulary and a brush up on The Classics would get you that score.
45.2% 397-400 = -3 -3/25 - -.12 Standard Deviations (MAT has a Std Dev of 25) Cumulative area for a Z score of -.12 is .4522
mean: 400std deviation: 25z-score = ( 380 - 400 ) / 25 = -0.8The probability of getting a score lower than this is about 21.1%. Or, in other words, about 78.8% score higher.Please see the link.
yes
If the Z Score of a test is equal to zero then the raw score of the test is equal to the mean. Z Score = (Raw Score - Mean Score) / Standard Deviation
The formula to derive the AFQT "raw Score" is 2VE + AR (Arithmetic Reasoning) + MK (Mathematics Knowledge). This formula results in the AFQT "raw score," which is then converted into a percentile score. [cited from ABCs of the ASVAB. pg 3. by Rod Powers About.com]
The average score on an IQ test is about 100. If you score higher than that, your score will be above average.
z score = (test score - mean score)/SD z score = (87-81.1)/11.06z score = 5.9/11.06z score = .533You can use a z-score chart to calculate the probability from there.