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CRUNCH STATISTICS

Mock Exams
ONE VARIABLE \(x\) ↓

Everything about one variable

\( \mathbb{E}(X),\; \) \( Var(X),\;\) \( \gamma(X),\; \) \( 0.75 \; percentile,\; \) etc.

TWO VARIABLES \(x\), \(\; y\) ↓

Double Entry Tables

\( \mathbb{E}(X|Y),\; \) \( Var_{between}(X),\;\) \( Var(Y|X) \) etc.


Chi-Squared, Cramér's V

\( \chi^2, \; \chi^2_N, V \)


Relations between variables

\( \rho^2,\; \) \( \eta^2_{Y|X},\;\) \( \eta^2_{X|Y},\;\) \( \chi^2 \) etc.

PROBABILITY ↓

Bayes' theorem

\( P(A \cup B ) \) \( = P(A|B)P(B) \)


With replacement

\( P( X = x ) \) \( = \binom{n}{x}p^x(1-p)^{n-x} \)

INDEX NUMBERS ↓

Index numbers

\( NIBM \) = \( \dfrac{ x_{t} }{ x_{t-1} } \)

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