Lecture #4 - Flashcards
(8 cards)
1
Q
The Normal Curve
A
- A specific bell shaped curve that is unimodal, symmetric, and defined mathematically.
2
Q
Standardization:
A
- Converts individual scores from different normal distributions to a shared normal distribution.
- New distribution has a known mean, standard deviation, and percentiles.
3
Q
z Score (standard Score):
A
- Represents the number of standard deviations a particular score is from the mean.
4
Q
z Score Formula:
A
z = x - u / sigma (o)
5
Q
Distribution Of Means:
A
- Composed of many means calculated from all possible samples of a given size from the same population.
6
Q
Standard Error:
A
- Standard deviation of the distribution of means.
7
Q
Central Limit Theorem:
A
- Refers to how distribution of sample means is more normal than a distribution of scores, even when the population distribution is not normal
8
Q
Central Theorem Key Principles:
A
1 - Repeated sampling leads to a normal distribution, even if the population isn’t normally distributed.
2 - A distribution of means is less variable than the distribution of individual scores.
3 - The mean of the distribution of means is the same as the population mean.