answersLogoWhite

0


Best Answer

A z table is used to calculate the probability of choosing something that is normally distributed. In order to use it, first a z score is needed. A z score is the number of standard distributions a value is away from the mean of the data. In order to find the z score, take the value of the datum, subtract the mean, then divide by the standard deviation. The result is a z score. Look up the z score on the table to find the probability of getting anything equal to or lesser than the value you chose.

User Avatar

Wiki User

13y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: How do you use a z table?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

How do you find p value with z score only?

You either look it up in a table of z scores or you can use a calculator such as the TI8 and use normalcdf.


When finding a confidence interval for true mean spent of all citizens should you us a z-score or t-score?

If the sample size is less then 30 use the T table, if greater then 30 use the Z table.


Are all z-score tables the same?

Not all z-score tables are the same. You must know how to use the specific table that you have.


When do you use a z - table compared with when you use a t - table?

For statistical tests based on (Student's) t-distribution you use the t-table. This is appropriate for small sample sizes - up to around 30. For larger samples (or degrees of freedom), the t-distribution becomes very close to the Standard Normal distribution so you use the z-tables.


Is the letter z in the periodic table?

Not a singular "Z", but there are two: Zn- Zinc Zr- Zirconium.


Is solvent Z a table 1 solvent?

YES


How does the formula for the t test differ from the formula for the z test?

When we use a z-test, we know the population mean and standard deviation. When we use a t-test, we do not know the population standard deviation and thus must estimate this using the sample data that we have collected. If you look at your z-table and t-table, tcrit for df(infinity) = zcrit because at df(infinity) we would have an entire population and no longer need an estimate.


Given that Z is a standard normal random variable what is the value z if the area to the right of z is 0.9066?

See the attached link. The area that is read from the table is 1 - .9066 or .0934. Go to the body of the table for the value .0934 and the answer is -1.32. Therefore Z = -1.32.


Truth table for 3-inputs OR gate?

It is not easy to illustrate this in a table since it would need to be a 3-d table. The browser which we are required to use is bad enough for ordinary tables. So here goes:X = True, Y = True, Z = True then (X or Y or Z) = TrueX = True, Y = True, Z = False then (X or Y or Z) = TrueX = True, Y = False, Z = True then (X or Y or Z) = TrueX = True, Y = False, Z = False then (X or Y or Z) = TrueX = True, Y = True, Z = True then (X or Y or Z) = TrueX = True, Y = True, Z = False then (X or Y or Z) = TrueX = True, Y = False, Z = True then (X or Y or Z) = TrueX = True, Y = False, Z = False then (X or Y or Z) = FalseThe simple way to remember is that the OR gate gives False only when each input is False.


Z is the actinide named for the creator of the Periodic Table?

Mendelevium


How do you test two tailed z distribution?

If the value given in the table for Z = z is k: that is, pr(Z > z) is 1 - k, then the two-tailed probability of observing a value which is at least as extreme, ie Pr(|Z| > z) is 0.5*(1-k).


For some positive value of Z the probability that a standard normal variable is between 0 and z is 0.3770. The value of Z is?

P(0 < Z < z) = 0.3770 is the same as looking at P(Z < z) = 0.8770 because the other half of the curve (anything less than 0) has probability of 0.5. Now this is a problem of just looking it up from the table. The table gives a value z = 1.16 for the probability of 0.8770. So P(0 < Z < 1.16) = 0.3770.