Statistics - Normal Flashcards

1
Q

What is the normal distribution?

A

Continuous probability distribution

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2
Q

What is the area under the curve of the normal distribution?

A

1

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3
Q

What is the notation for a normal distribution?

A

X~N(μ,σ^2)
μ - mean
σ^2 - varience
σ - standard dev

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4
Q

What is the shape of the normal distribution?

A

Bell-shaped curve with asymptotes at each end

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5
Q

How is the normal distribution symmetrical?

A

Symmetrical about x = μ

mean = mode = median

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6
Q

Where are the points of inflection on the normal distribution?

A

μ + σ AND μ-σ

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7
Q

What is σ?

A

Standard deviation

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8
Q

What % of data lies within 1 standard deviation of mean?

A

Approx 68%

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9
Q

What % of data lies within 2 standard deviations of the mean?

A

Approx 95%

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10
Q

What % of data lies within 3 standard deviations of the mean?

A

Nearly all

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11
Q

What is the upper/lower when only one boundary given?

A

If lower boundary given, the upper is 5*σ + mean

If upper boundary given, the lower is mean - 5*σ

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12
Q

Why can you use >/< instead of >= / <= ?

A

No difference as its a continuous normal distribution

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13
Q

What is the standard normal distribution?

A

Normal distribution is when
μ = 0
σ = 1

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14
Q

How is the standard normal distribution shown?

A

Z~N(0,1^2)

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15
Q

What is the coding for standard normal distribution?

A

Z = (X-μ) / σ

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16
Q

What should be done if the probability to the right is given with a standard value (top %)?

A

Use percentage points table

17
Q

When can you approx the normal from a binomial distribution?

A

n is large (above 50)

p is close to 0.5

18
Q

How do you calculate μ & σ from binomial when approximating?

A
μ = np
σ = √(np-n*p^2) = √(μ*(1-p))
19
Q

What is continuity correction?

A

Probabilities are discrete in binomial

When approximating to normal you must correct to make it continuous

20
Q

How do you continuity correct a variable that is less than or equal to 70?

A

Use values less than 70.5

21
Q

What is the sample mean of a sample size n taken from a normally distributed sample X?

A

x̄~N(μ, σ^2/2)

22
Q

What is the Z value when coding a sample mean?

A

Z = X-μ/ (σ/√n)