19 - Goodness of Fit Flashcards

(18 cards)

1
Q

What is Goodness of Fit concerned with?

A

Measuring how well an observed frequency distribution fits a known distribution.

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2
Q

Name the distributions that the Goodness of Fit method can test.

A

Discrete Binomial, Poisson, Specified Discrete Distribution, Continuous Exponential and Normal.

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3
Q

What distribution is used in the Goodness of Fit method?

A

Chi-Squared distribution (𝝌²) with 𝝂 degrees of freedom.

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4
Q

State the null and alternative hypotheses for Goodness of Fit.

A

H0: Suitable model
H1: Not a suitable model

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5
Q

What is the formula for calculating the Chi-Squared test statistic?

A

πœ’Β² = βˆ‘ (π‘‚βˆ’πΈ) Β² / 𝐸 where O is observed frequency and E is expected frequency.

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6
Q

What should you do if an expected frequency is less than 5?

A

Combine it with the group it shares the most features with.

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7
Q

List the conditions for a Binomial Distribution.

A

Fixed number of trials
Independent outcomes
Two outcomes per trial
Constant probability of success

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8
Q

How do you calculate the expected frequency (Ex) for a Binomial Distribution?

A

𝐸π‘₯ = 𝑁 Γ— 𝑃 (𝑋 = π‘₯) where N is the total of the observed frequencies.

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9
Q

How do you estimate β€˜p’ (probability of success) in a Binomial Goodness of Fit test?

A

𝑝 = (π‘‘π‘œπ‘‘π‘Žπ‘™ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ 𝑠𝑒𝑐𝑐𝑒𝑠𝑠𝑒𝑠) / (π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘Ÿπ‘–π‘Žπ‘™π‘  Γ— 𝑁)

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10
Q

Degrees of freedom (𝜈) for Binomial if β€˜p’ is given vs. estimated?

A

β€˜p’ given: 𝜈 = (number of cells after combining) - 1
β€˜p’ estimated: 𝜈 = (number of cells after combining) - 2

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11
Q

List the conditions for a Poisson Distribution.

A

Events occur independently
Events occur singly and randomly
Events occur at a constant rate
Mean and variance are equal

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12
Q

How do you estimate lambda (Ξ») for a Poisson Goodness of Fit test?

A

πœ† = βˆ‘ (π‘Ÿ Γ— π‘“π‘Ÿ) / 𝑁 where β€˜r’ is the number of occurrences and β€˜fr’ is the frequency of that occurrence.

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13
Q

Degrees of freedom (𝜈) for Poisson if λ is given vs. estimated?

A

λ given: 𝜈 = (number of cells after combining) - 1
λ estimated: 𝜈 = (number of cells after combining) - 2

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14
Q

Degrees of freedom (𝜈) for a Specified Discrete Distribution?

A

𝜈 = (number of categories) - 1

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15
Q

What are some indicators that a Normal Distribution might be expected?

A

Distribution is bell-shaped and symmetrical
Approximately two-thirds of values fall within one standard deviation of the mean

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16
Q

What are the unbiased estimates for ΞΌ and σ² in a Normal Goodness of Fit test?

A

xΜ„ (sample mean) and sΒ² (sample variance)

17
Q

Degrees of freedom (𝜈) for Normal Goodness of Fit with no parameters estimated, one parameter estimated, and two parameters estimated?

A

No parameters estimated: 𝜈 = (number of cells) - 1
One parameter estimated: 𝜈 = (number of cells) - 2
Two parameters estimated: 𝜈 = (number of cells) - 3

18
Q

Degrees of freedom (𝜈) for Exponential Goodness of Fit?

A

𝜈 = (number of cells) - 2