Chapter 6: The Normal Distribution

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The Central Limit Theorem

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18 Terms

1

The Central Limit Theorem

________: sample size n, mean µ, and standard deviation σ are given.

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2

Calculator function for probability

________: normalcdf (lower x value of the area, upper x value of the area, mean, standard deviation)

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3

Standard normal distribution

________ : a normal distribution with a mean of µ= 0 and a standard deviation of σ= 1.

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4

Normal Distribution

________: X- N (µ, σ) where µ is the mean and σ is the standard deviation.

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5

normal distribution curve

A(n) ________ is unimodal.

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6

Normal distribution

A bell curve or a Gaussian distribution curve

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7

Approximately normally distributed variables

Many continuous variables (e.g

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8

Standard normal distribution

a normal distribution with a mean of µ = 0 and a standard deviation of σ = 1

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9

Z-score formula

𝑿 − 𝝁 / σ

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10

(P → X)

𝑿 = 𝝁 + 𝝈Z

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11

Calculator function for probability

normalcdf (lower x value of the area, upper x value of the area, mean, standard deviation)

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12

Calculator function for the kth percentile

k = invNorm (area to the left of k, mean, standard deviation)

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13

Sampling distribution of sample means

a distribution using the means computed from all possible random samples of a specific size taken from a population

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14

Sampling error

the difference between the sample measure and the corresponding population measure because the sample is not a perfect representation of the population

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15

The Central Limit Theorem

sample size n, mean µ, and standard deviation σ are given

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16

Standard error of the sample mean

𝝈/ √𝑛

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17

Properties of the Theoretical Normal Distribution

Mean = Median = Mode

A normal distribution curve is unimodal.

The curve never touches the x-axis.

The total area under a normal distribution curve is equal to 1.00

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18

Number of units (individual/items) satisfying a condition

→ Total number of units given in the problem × are calculated based on condition

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