What are z-scores? A z-score measures exactly how many standard deviations above or below the mean a data point is.

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.

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 …

Find the z-score of a particular measurement given the mean and standard deviation.

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 …

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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 …

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).

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 …

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 …