"in some exam past papers I have been doing I have come across the statistics equation z=(sample mean - mean)/standard deviation as well as the equation z = (sample mean - mean)/(standard deviation/sqrt n). could anyone please explain when to use which equation and what the difference is? thanks so much!"

allucinemsj

allucinemsj

Open question

2022-08-19

in some exam past papers I have been doing I have come across the statistics equation
z=(sample mean - mean)/standard deviation
as well as the equation
z = (sample mean - mean)/(standard deviation/sqrt n).
could anyone please explain when to use which equation and what the difference is? thanks so much!

Answer & Explanation

Mariam Hickman

Mariam Hickman

Beginner2022-08-20Added 13 answers

It is the difference between the z score for a datum from an entire population and a sampling.
The z score for a datum x is z = ( x μ ) / σ where μ is the population mean and σ is the population standard deviation.
If the datum x is not from the entire population but rather from a sampling from that population then the standard deviation is divided by the square root of the sample size n.
Trystan Castaneda

Trystan Castaneda

Beginner2022-08-21Added 5 answers

The z-score calculation is designed to answer the question: "How far from typical is this result?"
When dealing with a single datum, the single-value formula z = x μ σ gives us the answer. But when dealing with a whole pile of individual measurements, we expect the Law of Large Numbers, and its more formal cousin the Central Limit Theorem, to take over: more attempts means the mean of our results is going to look more like the population mean. To model this, we divide the usual standard deviation by n : z = x ¯ μ σ / n .

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