Lecture #4 - Flashcards

(8 cards)

1
Q

The Normal Curve

A
  • A specific bell shaped curve that is unimodal, symmetric, and defined mathematically.
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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.
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3
Q

z Score (standard Score):

A
  • Represents the number of standard deviations a particular score is from the mean.
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4
Q

z Score Formula:

A

z = x - u / sigma (o)

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5
Q

Distribution Of Means:

A
  • Composed of many means calculated from all possible samples of a given size from the same population.
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6
Q

Standard Error:

A
  • Standard deviation of the distribution of means.
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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
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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.

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