6.6 Terms

Match each of the terms on the left with its definition on the right. Click on the term first and then click on the matching definition. As you match them correctly they will move to the bottom of the activity.

Question

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normal curve (p. 126)
Standardization (p. 129)
z score (p. 130)
z distribution (p. 135)
standard normal distribution (p. 135)
central limit theorem (p. 139)
distribution of means (p. 139)
Standard error (p. 143)
A normal curve is a specific bell-shaped curve that is unimodal, symmetric, and defined mathematically.
The central limit theorem refers to how a distribution of sample means is a more normal distribution than a distribution of scores, even when the population distribution is not normal.
A distribution of means is a distribution composed of many means that are calculated from all possible samples of a given size, all taken from the same population.
The z distribution is a normal distribution of standardized scores.
A z score is the number of standard deviations a particular score is from the mean.
The standard normal distribution is a normal distribution of z scores.
Standardization is a way to convert individual scores from different normal distributions to a shared normal distribution with a known mean, standard deviation, and percentiles.
Standard error is the name for the standard deviation of a distribution of means.