Two Sample Problems & Bivariate Distributions Flashcards

1
Q

What is the estimator for the difference in population means?

A

The difference in sample means which for sufficiently large independent samples has an approximately normal sampling distribution with mean of the true difference and variance σa2/na + σb2/nb

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2
Q

What are the null and alternate hypotheses for a two sample hypothesis test?

A

μa = μb, μa - μb ≠ / > / < 0

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3
Q

What is the test statistic for a two sample problem if both samples have n > 20?

A

The difference in sample means over the square root of the sample variance of the estimator replacing population variance with sample variance

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4
Q

What is the confidence interval for the effect of a change?

A

The difference in sample means ± z1 - α times the standard error of the estimator

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5
Q

What is bootstrapping?

A

Pulling many observations from the same dataset by drawing samples with replacement

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6
Q

What is the joint (bivariate) distribution of 2 random variables X and Y?

A

f(Y, X) = f1(Y|X) f2(X) where f1 is the conditional distribution and f2 is the marginal distribution

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7
Q

What is the conditional expectation of discrete Y given X = Xj?

A

μY|Xj = E(Y|X = Xj) = ΣkYkpk|j
pk|j is the conditional probability of Y = Yk given X = Xj

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8
Q

What can be used to characterise a linear relationship between X and Y?

A

The covariance cov(X, Y) = E((X - E(X))(Y - E(Y)))
Covariance gives whether there is a positive, negative, or no linear trend (+ve covariance => x and y are above and below their means at the same time)

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9
Q

What is the expectation of some function h of random variables X and Y?

A

E(h(X, Y)) = ΣxΣyh(x, y) f(x, y)
For continuous x, y, replace Σ with ∫
Covariance is a specific case of this formula with h(X, Y) = (X - E(X))(Y - E(Y))

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10
Q

What is the correlation coefficient?

A

A scale free measure of the linear relationship between two variables
ρ = cov(X, Y)/sqrt(V(X)V(Y))

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11
Q

What is the sample analogue of covariance?

A

SXY = 1/(n-1) Σi = 1n((xi - x̄)(yi - ȳ))

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12
Q

What is the sample analogue of the correlation coefficient?

A

r = SXY/SxSY

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