0
Add your answer:
Earn +20 pts
When to you use a z scores or t scores?
If the distribution is Gaussian (or Normal) use z-scores. If it is Student's t, then use t-scores.
What is the percentage of the population under the standard distribution curve between the Z scores of negative 1.96 and positive 1.96?
95% of the area falls between Z = -1.96 & 1.96.
What determines the z-score boundaries for the critical region?
Z-score boundaries are a part of the study of statistics. Z-scores are given by published tables. They refer to the proportion of values that lie between a number, Z and the mean.
Is the Z-test the same as Z-scores?
No, the Z-test is not the same as a Z-score. The Z-test is where you take the Z-score and compare it to a critical value to determine if the null hypothesis will be rejected or fail to be rejected.
How do you find normal distribution of z-scores?
z-scores are distributed according to the standard normal distribution. That is, with the parameters: mean 0 and variance 1.
When to you use a z scores or t scores?
If the distribution is Gaussian (or Normal) use z-scores. If it is Student's t, then use t-scores.
What happens to z when x is doubled and y stays the same?
That would depend on the relationship between x, y, and z.That would depend on the relationship between x, y, and z.That would depend on the relationship between x, y, and z.That would depend on the relationship between x, y, and z.
Are normal scores the same as z-scores?
They should be.
What is the percentage of the population under the standard distribution curve between the Z scores of negative 1.96 and positive 1.96?
95% of the area falls between Z = -1.96 & 1.96.
What proportion of the scores in a normal distribution is approximately between z -1.16 and z 1.16?
Between z = -1.16 and z = 1.16 is approx 0.7540 (or 75.40 %). Which means ¾ (0.75 or 75%) of the normal distribution lies between approximately -1.16 and 1.16 standard deviations from the mean.
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 determines the z-score boundaries for the critical region?
Z-score boundaries are a part of the study of statistics. Z-scores are given by published tables. They refer to the proportion of values that lie between a number, Z and the mean.
Is the Z-test the same as Z-scores?
No, the Z-test is not the same as a Z-score. The Z-test is where you take the Z-score and compare it to a critical value to determine if the null hypothesis will be rejected or fail to be rejected.
Are all standard scores z-scores in statistics?
Yes, although the z-scores associated with p-values of 0.01 and 0.05 have special significance, perhaps mostly for historical reasons, all possible z-scores from negative infinity to positive infinity have meaning in statistical theory and practice.
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.
What is the formula for z scores?
Z = (x minus mu) divided by sigma.
How do you find normal distribution of z-scores?
z-scores are distributed according to the standard normal distribution. That is, with the parameters: mean 0 and variance 1.
