6 Normal Distribution Flashcards

(20 cards)

1
Q

What shape does a normal distribution curve have?

A

Bell shaped

The normal distribution is characterized by its symmetrical bell shape.

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2
Q

Define a continuous random variable.

A

A variable that can take any value within a given range

Continuous random variables are often used in statistics to represent measurements.

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3
Q

What is the mean in a normal distribution?

A

It is the central point around which the data is distributed.

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4
Q

What does the standard deviation indicate in a normal distribution?

A

The spread of the data around the mean

A larger standard deviation indicates more variability in the data.

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5
Q

True or false: The total area under a normal distribution curve is 1.

A

TRUE

This property is fundamental to probability distributions.

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6
Q

What percentage of data lies within one standard deviation of the mean in a normal distribution?

A

About 2/3 (~68%)

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7
Q

What percentage of data lies within two standard deviations of the mean in a normal distribution?

A

95%

This property helps in understanding the spread of data.

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8
Q

What percentage of data lies within three standard deviations of the mean in a normal distribution?

A

99.8%

This indicates that almost all data points fall within this range.

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9
Q

The normal distribution is also known as the ____ ___.

A

Gaussian distribution

Named after the mathematician Carl Friedrich Gauss.

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10
Q

What is the parameter for population mean in a normal distribution?

A

μ

This symbol represents the average of the population.

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11
Q

What is the parameter for population variance in a normal distribution?

A

σ²

This symbol represents the variance of the population.

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12
Q

What is the standard normal distribution?

A

A normal distribution with mean 0 and standard deviation 1

It is used for standardizing values.

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13
Q

Fill in the blank: The inverse normal distribution is used to calculate the value which satisfies a given _______.

A

probability

This process is often used in statistical analysis.

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14
Q

What is the continuity correction when approximating a binomial distribution with a normal distribution?

A

Adjusting for the difference between discrete and continuous data

This ensures more accurate probability calculations.

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15
Q

What are the two conditions under which the normal distribution may be used as an approximation to the binomial distribution?

A

np>10 and
n(1-p)>10

These conditions help ensure the approximation is valid.

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16
Q

What does the bell shape of the normal distribution indicate?

A

Symmetry around the mean

This symmetry is a key characteristic of the normal distribution.

17
Q

Fill in the blank: For the normal distribution, the mean and variance are known as the _______.

18
Q

What is the mean of the standard normal distribution, Z?

19
Q

What is the standard deviation of the standard normal distribution, Z?

20
Q

What are the characteristics of the normally distributed curve?

A

Symmetrical
Continuous
Mode= median= mean
Total area under curve = 1