8
T score is usually used when the sample size is below 30 and/or when the population standard deviation is unknown.
You should think of a dependent t as being a single-sample t on the difference scores. This gives it 1 less than the number of differences as the df. Say you have before/after scores for 10 people. You have 20 scores, but the test is done on the differences, of which you have 10 and that means 9 df. You typically obtain df from n - 1, as you do in this case, you just need to be careful to think of this as the number of pairs and not scores.
You calculate the z-scores and then use published tables.
To calculate the mean absolute deviation (MAD) of Victoria's science scores, you first find the mean of her scores. Then, subtract the mean from each individual score to find the absolute deviations. Finally, calculate the average of these absolute deviations. Without the specific scores, I cannot provide a numerical answer, but this is the process to find the MAD.
A millennium consists of 1,000 years. Since one score is equal to 20 years, you can determine the number of scores in a millennium by dividing 1,000 by 20. Therefore, there are 50 scores in one millennium.
z=(x-mean)/(standard deviation of population distribution/square root of sample size) T-score is for when you don't have pop. standard deviation and must use sample s.d. as a substitute. t=(x-mean)/(standard deviation of sampling distribution/square root of sample size)
If, by SX, is meant the sum of the scores, then the answer is 48/4 = 12
Sorry this is meaningless. What exactly is the question?
T score is usually used when the sample size is below 30 and/or when the population standard deviation is unknown.
You should think of a dependent t as being a single-sample t on the difference scores. This gives it 1 less than the number of differences as the df. Say you have before/after scores for 10 people. You have 20 scores, but the test is done on the differences, of which you have 10 and that means 9 df. You typically obtain df from n - 1, as you do in this case, you just need to be careful to think of this as the number of pairs and not scores.
true
149
0.50
sum of scores: 24 mean of scores : 24/4 = 6 squared deviations from the mean: 9, 4,4,9 sum of these: 26 sample variance: 26/4 = 6.5
n= 25 scores from a population with mean =20
You calculate the z-scores and then use published tables.
To calculate the mean absolute deviation (MAD) of Victoria's science scores, you first find the mean of her scores. Then, subtract the mean from each individual score to find the absolute deviations. Finally, calculate the average of these absolute deviations. Without the specific scores, I cannot provide a numerical answer, but this is the process to find the MAD.