Distribution Flashcards

(22 cards)

1
Q

What is the other name for Continuous Uniform Distribution?

A

Rectangular Distribution

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2
Q

Why does the Continuous Uniform Distribution look like a rectangle when drawn?

A

The probability of success is uniform (the same)

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3
Q

Why are the median and the mean the same for Continuous Uniform Distribution?

A

It is a symmetrical distribution

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4
Q

What should the height of CUD be?

A

1 ÷ (b-a)

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5
Q

How do you find probability with Continuous Uniform Distribution?

A

The area under the portion of rectangle

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6
Q

What are the conditions for Binomial Distribution?

A
  • Two outcomes - ‘Success’ or ‘Failure’
  • Trials are independent
  • Fixed number of trials
  • Constant probability
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7
Q

What is the notation for Binomial?

A

X~B(n,p)

  • n = number of set trials
  • p = probability of success
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8
Q

How to find the mean and variance of Binomial?

A

Mean = np
Variance = np(1-p)

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9
Q

What are the properties of a Normal Distribution?

A
  • Bell-shaped curve
  • Peak of the curve at 1
  • Mean and median equal
  • 68% data lies 1 SD away from mean
  • 95% data lies 2 SD from mean
  • 99.8% 3 SD away
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10
Q

In a Normal Distribution, what is P(X=x)?

A

Always zero
Normal is continuous - can’t be exact

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11
Q

What is the notation for Normal?

A

X~N(mu,sigma²)

Mu = Pop. mean
Sigma² = Pop. variance

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12
Q

What is the notation for Standard Normal (Z-Distribution)?

A

Z~N(0,1)

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13
Q

Formula for Standard Normal?

A

z = (x-mu) ÷ sigma

Or

x = mu + (z×sigma)

Or

mu = x - (z×sigma)

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14
Q

What is used in place of SD when calculating for Distribution of Sample Means?

A

Standard Error

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15
Q

What is the Standard Error?

A

Sigma ÷ Root of n

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16
Q

What is the notation for Sample Means Distribution?

A

X bar~N(mu, [sigma²÷root of n])

17
Q

What is meant by a ‘Sample mean is always and unbiased estimate for population mean’?

A

It is equally likely to be overestimating as underestimating

18
Q

What are the conditions for Normal Approximation to the Binomial?

A
  • n>/=20 and p≈0.5
  • np >/=5 and n(1-p)>/=5
19
Q

What is the notation for Normal Approximation to Binomial?

A

X≈Y~N(np,np(1-p))

np = mean
np(1-p) = variance

20
Q

What type of data is a Binomial Distribution?

21
Q

What type of data is a Normal Distribution?

22
Q

Due to Binomial and Normal being discrete vs continuous, what must be applied to any calculation?

A

Continuity correction
+/-0.5