Last Minute Flashcards

1
Q

What probability formula is used for marginal and joint probability tables

A

P(A|B) = P(A n B) / P(B)

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2
Q

What is a marginal and joint probability table

A

A table showing the probabilites for all combinations of 4 different variables and the probability for the totals

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3
Q

What can be used when working out n amount chosen from r

A

nCr

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4
Q

What is Bayes Rule

A

P(A|B) = P(B|A) * P(A) / P(B)

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5
Q

What is the formula for binomial

A
  • P(X = k)
  • (n! / k! * (n-k)!) * p^k * q^n-k
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6
Q

What is the formula for the poisson

A
  • P(X = k) = e^-lambda * lambda^k / k!
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7
Q

What is the z test statistic for hypothesis testing (population)

A

z = x bar - mu / sigma / root(n)

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8
Q

what is the t test statistic for hypothesis testing (sample)

A

t = x bar - mu / s / root n

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9
Q

What is the formula for Bias

A
  • Bias(theta hat) = E(theta hat) - theta
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10
Q

When is one estimator said to be more efficient than the other

A
  • Var(theta 1 hat) < Var(theta 2 hat) then theta 1 hat is more efficient
  • whichever one is less
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11
Q

How is the relative efficency of two estimators calculated

A
  • With respect to is key
  • whichever estimator it is in respect to, this estimator is on top
  • Var(theta 1 hat) / Var(theta 2 hat)
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12
Q

What is the mean of the sampling distribution s^2

A
  • σ^2
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13
Q

What is the formula for the chi squared test statsitc

A

chi square = (n-1) * s^2 / σ^2

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14
Q

How is the t value calculated for testing if a coefficient is significant in regression

A
  • t = coefficient / standard error
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15
Q

What is the formula for the exponential distribution

A
  • f(t) = lambda * e^-lambda * t
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16
Q

When would a finite population coefficient be used

A
  • When n is not a small fraction of N
  • N - n / n - 1
  • applied to variance
17
Q

How is TSS calculated

A
  • TSS = RSS + ESS
18
Q

What is key about RSS

A
  • It is the explained variation in variable A by variable B
19
Q

How is the coefficient of determination calculated

A
  • R^2 = RSS / TSS
20
Q

What is the hypothesis for a coefficient significance test

A
  • H0: Hypothesised slope = 0
  • H1: Hypothesised slope /= 0
21
Q

How is the F-test and t-test related

A
  • F = t^2
22
Q

What is the formula for an overall test of significance

A
  • F = (RSS / k) / (ESS / n-K-1)
  • Reject H0 if F > F(k numerator degrees, n-k-1 denomiator degrees, aplha)
23
Q

What is the hypothesis for overall significance

A

H0: All coefficients = 0
H1: at least one coefficient is not 0

24
Q

What is the F statisitc for a subset of coefficients

A
  • F = ((ESS(r) - ESS) / r) / (ESS / n-k-r-1)
  • r is the number of excluded variables