1.) P(z > or equal to 2.619) = - btw the mean in 0.50 and the standard error is

Question

1.) P(z > or equal to 2.619) =

- btw the mean in 0.50 and the standard error is 0.042 (Im not sure if you even need this cause in the question directions it says using a normal approximation but they give it to me so idk.

in an example in the homework it tells me that P(z > or equal to 1.43) = 0.0764 (the mean for this one is .5 and the standard error is 0.035)

please tell me how to do this in the calculator, whether its normalcdf or inverse norm, and what goes where (if its normal cdf what goes in the upper lower mean and sd) and (if its inversenorm what goes in for area, mean, and sd) if its neither please explain how to do. Thank you!!!!

Explanation / Answer

Ans:

Use normalcdf for calculating cumulative probabilty or area.

Inverse norm is used for calculating z value from the given cumulative probability.

Suppose if you have to calculate area between two limts,say 1 and 1.5,put the upper and lower limits accodingly.

For,mean enter the population mean of distribution and for sd enter standard error of the distribution of smple means.

normalcdf(smaller, larger, µ, )

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