Chapter 7- Theoretical Distributions including the Normal Distribution Flashcards

1
Q

Empirical distributions

A

Distributions using observed scores (i.e. real scores)

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2
Q

What are theoretical distributions based on?

A

Mathematical formulas and logic, rather than on empirical observations

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3
Q

What can you use theoretical distributions to find?

A

Probability

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4
Q

What does probability range from?

A

Probabilities are often called “chances in a hundred.”

It ranges from 0.00 to 1.00

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5
Q

What is the significance of 0 and 1 concerning a probability?

A
  1. 00- equals no certainty

1. 00- equals certainty

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6
Q

Rectangular distribution

A

distribution in which all scores have the same frequency.

It involves straight lines

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7
Q

Are straight lines still called curves?

A

Yes. The line that encloses a histogram or frequency polygon is called a curve, even if it is straight.

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8
Q

What do the areas of a probability add up to?

A

1.00

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9
Q

Binomial distribution

A

Is another example of a theoretical distribution.

Distribution of the frequency of events that can have only two possible outcomes

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10
Q

Example of a binomial distribution

A

Flipping a coin in the air. Finding the possibilities of heads/tails

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11
Q

How to calculate a binomial distribution

A

Multiply the probabilities of each of the independent events

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12
Q

Theoretical v empirical

A

Theo

  • distribution may not reflect ‘exactly’ what happens
  • best estimate of how events would actually occur

Empirical

  • actual results influenced by chance
  • if we redid the test and did 520, 5,200, or 52,000 the theo and empirical would sit flat on top of each other and match
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13
Q

Normal distribution

A

A bell-shaped, theoretical distribution that predicts the frequency of occurrence of chance events

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14
Q

Is your data wrong if it does not look like a normal distribution?

A

NO. Just because it’s not normal doesn’t mean it’s abnormal

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15
Q

What is the x-axis of a normal distribution?

A

z scores

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16
Q

What are the mean, median, and mode for the n

A

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