Statistics (Applied) Flashcards
If y = ax^n , what is log(y) ?
Log(a) + nlog(x)
When is a one-tailed test used?
When ρ is either greater or less than 0
When is a two-tailed test used?
When ρ is not equal to 0
What are the hypotheses for a one-tailed test?
H⁰: ρ=0 , H¹: ρ>0/ρ<0
What are the hypotheses for a two-tailed test?
H⁰: ρ=0 , H¹: ρ≠0
In Set Notation, how is the event ‘A and B’ written?
AnB
If A and B are independent, what is P(AnB)?
P(A) x P(B)
If A and B are mutually exclusive, what is P(AnB)
0 (it doesn’t exist, as they don’t intersect)
In Set Notation, how is the event ‘A or B’ written?
AUB
If A and B are mutually exclusive, what is P(AUB)?
P(A) + P(B)
In Set Notation, how is the event ‘Not A’ written?
A’
What is the formula for P(A’)?
1 - P(A)
In Set Notation, how is the probability that B occurs given that A has already occurred written?
P(B/A)
For independent events, what P(A/B) the same as?
P(A/B’) = P(A)
What is the formula for P(AUB)?
P(A) + P(B) - P(AnB)
What does the Product Moment Correlation Coefficient measure?
The linear correlation between two variables
What range of values can the product moment correlation coefficient take?
-1 to 1
What letter denotes the product moment correlation coefficient?
r
What does a product moment correlation coefficient of 1 mean?
There is a perfect positive linear correlation
What does a product moment correlation coefficient of -1 mean?
There is perfect negative linear correlation
What does a product moment correlation coefficient of 0 mean?
There is no linear correlation
When is PMCC denoted r, and when is it denoted ρ?
r - a sample
ρ - whole population
How do you determine the critical region for r for your (one-tailed/two-tailed) hypothesis?
By using the table of critical values in the formula book
In a normal distribution, what is the formula for the mean?
μ = np
n = population/trials etc.
p = probability
In a normal distribution, what is the formula for variance?
σ = npq
n = population/trials etc.
p = probability
q = 1 - p
What is the equation for a Z-score?
Z = (X - μ)/σ