Chapter 6- The Normal Curve, Standardization, and z Scores Flashcards

1
Q

What is a normal curve?

A

A normal curve is a specific bell shaped curve that is unimodial, symmetric, and defined mathematically

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2
Q

What does the normal curve describe?

A

A normal curve describes the distributions of many characteristics and measures that vary.

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3
Q

What occurs when the sample size increases?

A

When the sample size increases, the shape of the distribution become more like the normal curve.

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4
Q

What is standardization?

A

Standardization coverts individual scores to standard scores and allows us to determine where the score falls in realation to other scores

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5
Q

How do you calculate the z score?

A

The z score is calculated by subtracting the observation from the mean then dividing the number by the standard deviation SD

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6
Q

When the observation is above the mean, will the score be negative or positive?

A

The score will always be positive

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7
Q

When the observation is below the mean, will the score be negative or positive?

A

The score will always be negative

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8
Q

When the observation is the same as the score, what is the z score then?

A

The score will be 0

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9
Q

Converting z scores will always have a mean of _____ and a standard deviation of _____

A

0, 1

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10
Q

Will standardizing scores change the shape of the distribution?

A

No, standardizing does not change the shape of the distribution

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11
Q

How do you calculate a raw score if you are given the z score, SD and mean?

A

Z score x SD+mean= Raw Score

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12
Q

What are population distributions?

A

Population distributions are theoretical and assumed to be normal

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13
Q

What are sample distributions?

A

Sample distributions are observed and as the population increases, the normal distribution increases

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14
Q

How do you calculate percentiles of normal distribution?

A

If number is 0, the percent is 50. If the number is negative, start counting from right. If the number is positive, count from left (count from opposite side)

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15
Q

What is the central limit theorem?

A

As the sample size increases, the sampling distribution of the mean will approach a normal distribution

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16
Q

What is a distribution of means?

A

A distribution of means is a distribution composed of many means that acre calculated from all possible samples of a given size, all taken from the same population.