Chapter 7 Flashcards

Normal Curves (19 cards)

1
Q

What is a normal probability distribution?

A

A distribution of a continuous random variable that is bell-shaped and symmetric around the mean.

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2
Q

Where does the high point of a normal distribution occur?

A

Over the mean.

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3
Q

What is the relationship between the mean and median in a normal distribution?

A

They are equal.

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4
Q

What does the empirical rule for normal distributions state?

A

It gives areas within 1, 2, and 3 standard deviations of the mean.

It is also called the 68-95-99.7 rule

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5
Q

What does a z score measure?

A

The number of standard deviations a raw score x lies from the mean.

z=(x-mu)/sigma

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6
Q

What is the standard normal distribution characterized by?

A

It has a mean of 0 and a standard deviation of 1.

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7
Q

What is the purpose of converting raw scores x to z scores?

A

To use the standard normal distribution table to find probabilities associated with intervals of x values.

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8
Q

True or False: The majority of the area under a normal distribution occurs within 3 standard deviations of the mean.

A

True

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9
Q

What are normal distributions?

A

A type of continuous probability distribution characterized by a symmetrical bell-shaped curve

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10
Q

What is a normal curve?

A

The graphical representation of a normal distribution

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11
Q

How can I find the standard deviation visually?

A

The standard deviation occurs where it stops being “down life a frown” and starts being up like a sideways smile

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12
Q

What is a normal density function?

A

A function that describes the probability of a random variable falling within a particular range of values

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13
Q

What is the empirical rule?

A

A statistical rule stating that for a normal distribution, approximately 68% of data falls within one standard deviation of the mean, 95% within two, and 99.7% within three

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14
Q

What is a z value or z score?

A

A measure of how many standard deviations an element is from the mean

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15
Q

What are standard units?

A

Units used to express values in terms of standard deviations from the mean

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16
Q

What is a raw score, x?

A

The original untransformed score before any standardization

x=z(sigma)+mu

17
Q

What is the standard normal distribution?

A

A normal distribution with a mean of 0 and a standard deviation of 1

18
Q

What does the area under the standard normal curve represent?

A

The total probability of all outcomes, which equals 1

19
Q

What are areas under any normal curve used for?

A

To determine probabilities and percentiles for normally distributed data