Stats - Formulas to learn Flashcards
(23 cards)
variance (no frequency)
variance (with frequency)
frequency density
Frequency/ class width
quartiles for listed data
n + 1 and then divide, if a decimal like 2.5 then take the mean of the 2nd and 3rd values
quartiles for grouped data
n/4, n/2, 3n/4 ( use linear interpolation)
mean of coded data when y = ax + b
both sums and multiplication affect it
standard deviation of coded data when y = ax + b
only multiplications affect it
Addition rule probability
2 formulas for independent events
2 formulas for mutually exclusive events
conditional probability formula
Expected value of a discrete random variable
variance of a discrete random variable
linear transformation Y= aX + b for the expected value and variance of a discrete random variable w
Mean for a discrete uniform distribution with n equally likely outcomes
the distribution is symmetrical
the distribution has a positive skew
the distribution has a negative skew
you can model X with a binomial distribution B(n,p) if
- fixed number of trials n
- 2 possible outcomes for X (succes/failure)
- fixed probability of succes p
- trials are independent of each other
In order for a Poisson distribution to be a good model, the events must occur :
- independently
- singly in space or time
- at a constant average rate