How to calculate Z-scores (formula review) (article) | Khan Academy
To find the z-score of the sample mean, you use the formula: Z = X - μ / (σ / sqrt (n)), where X is the sample mean, μ is the population mean, σ is the population standard deviation, and n is …
Z-score introduction (video) | Z-scores | Khan Academy
A z-score is an example of a standardized score. A z-score measures how many standard deviations a data point is from the mean in a distribution.
Finding z-score for a percentile (video) | Khan Academy
In any normal distribution, we can find the z-score that corresponds to some percentile rank. If we're given a particular normal distribution with some mean and standard deviation, we can …
Calculating z-scores (practice) | Z-scores | Khan Academy
Find the z-score of a particular measurement given the mean and standard deviation.
Calculating a z statistic in a test about a proportion
And then we could say what's the probability of getting that many standard deviations or further from the true proportion? We could use a z-table to do that. And so what we wanna do is …
Normal distribution problem: z-scores (from ck12.org)
Well anyway, hopefully this at least clarified how to solve for z-scores, which is pretty straightforward mathematically. And in the next video, we'll interpret z-scores and probabilities …
Critical value (z*) for a given confidence level - Khan Academy
For scientific calculators, you can calculate the confidence level using the normalcdf function (the lower and upper boundaries will be negative and positive z*, respectively).
Calculating a P-value given a z statistic (video) | Khan Academy
In a significance test about a population proportion, we first calculate a test statistic based on our sample results. We then calculate a p-value based on that test statistic using a normal …
Standard normal table for proportion between values
Finding the proportion of a normal distribution that is between two values by calculating z-scores and using a z-table.
Modeling data distributions | Statistics and probability | Khan …
We'll measure the position of data within a distribution using percentiles and z-scores, we'll learn what happens when we transform data, we'll study how to model distributions with density …