fundamental skills lecture 5 statistics 3 Flashcards

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1
Q

how do you find the sample size?

A

the number of observations

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2
Q

what is the degree of freedom?

A

unique pieces of information used to quantify variation

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3
Q

how is the degree of freedom found?

A

the number of observations - 1 (the mean)

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4
Q

how do you find the mean sum of squares?

A

the sum square divided of the df value for ESS and RSS

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5
Q

what is the f-ratio?

A

the mean sum of squares (for each explanatory variable) divided by the residual mean sum of squares. so f= explained mean square/ residual mean square.

each explanatory variable has its own f ratio

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6
Q

the overall forumla of the f ratio is

A

to find the explained mean square its the explained SS over model df meaning the variation explained by the variable / the pieces of info (coefficients) it requires

then divide that by the residual SS / residual df which is the pieces of info that contribute to the residual variation and the variation left unexplained by the model

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7
Q

what is the p-value in GLMs?

A

the probability of the F statistic being that high or higher if the null hypothesis is true

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8
Q

why do we use dfs?

A

to standardise variation based on the pieces of information we used to quantify it

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9
Q

how do you find the gradient and the y intercept?

A

the top is the intercept and the bottom is the gradient

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10
Q

how do you find an unknown value?

A

insert it into the value y = m x + c. This is referred to as the algebraic structure of the model

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11
Q

how do you find f height?

A

af / am then + at both sides

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