Stats year 2 Flashcards
(20 cards)
If y = ax^n for constants a and n, then log(y) =
“log(a) + nlog(x)”
If y = kb^x for constants k and b, then log(y) =
“log(k) + xlog(b)”
What does r tell us?
”= 1 then perfect positive linear correlation\n= 0 no linear correlation\n= -1 then perfect negative linear correlation”
1.3
“1.3”
A and B
“AnB”
A or B
“AuB”
Not A
“A’”
The probability that B occurs given that A has already occurred
“P(B|A)”
For independent events, p(A|B) =
”= P(A|B’) = P(A)”
Formula for P(AuB)
“P(A) + P(B) - P(AnB)”
Formula for P(B|A)
“P(BnA) / P(A)”
What is the area under a continuous probability distribution equal to?
“1”
What is μ equal to for normal distribution
“mean”
What is σ² equal to in normal distribution
“the population variance”
The normal distribution is symmetrical, what does this mean?
“mean = median = mode”
What does the normal distribution have at each end?
“Asymptotes”
Where are the normal distribution points of inflection?
“μ ± σ”
Mean and SD of standard normal distribution
“mean = 0, sd = 1”
The standard normal variable
“z ~ N(0, 1²)”
Z =
(X - μ) / σ
