![]() ![]() To find a specific area under a normal curve, first, find the z-score of the data value and then use a Z-Score Table to find the area. This z-score will tell you how many standard errors are there between the sample mean and the population means. Standard Error of the Mean: When you have multiple samples and want to describe the standard deviation of those sample means (the standard error) use this z score formula: Putting the values in the equation mentioned above, Solution From the question above we can deduce that,Īnd the value of standard deviation (σ) is 30 Assuming it is a normal distribution, your z score would be. The test has a mean (μ) of 140 and a standard deviation (σ) of 30. Let's take an example and understand this better. Where x̄ is the sample means is the sample standard deviation. How to Calculate Z-score?įor a sample, the basic z- score formula is ![]() When you "standardize" a variable, its mean becomes zero and its standard deviation becomes one. Z-scores range from -3 standard deviations up to +3 standards.Ī Z-score can help us in determining the difference or the distance between a value and the mean value. ![]() A raw score as a Z-score can also be called a standard score and it can be placed on a normal distribution curve. A data point is a measure of how many standard deviations are below or above the mean. Z-score can be defined as the number of standard deviations from the mean. ![]()
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