1/22
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced |
---|
No study sessions yet.
binomial distribution
probability of X successes in N independent + identical trials
poisson distribution
probability that X events occur independently + randomly in space/time
goodness-of-fit
used to test whether the observed data matches the expected probability model
null distribution
probability distribution of potential values of the test statistic if the null hypothesis is true
p-value
probability of an expected/unexpected value if the null hypothesis is true
significance level/alpha
probability that is helpful as (maybe required) criteria to evaluate result
test statistic value
value compared to the null distribution to calculate p-value
type I error
rejecting a null hypothesis that is true = alpha
type II error
accepting a null hypothesis that is false = beta
power
probability of rejecting a null hypothesis that is false = 1 - beta; increases with sample size
statistical inferences
point estimate vs interval estimate vs hypothesis test
degrees of freedom
number of values that can vary for the calculation
test of single proportion
used to compare sample proportion w/ the population
null distribution of test of single proportion
binomial distribution
test of association
used to determine if there is a relationship b/w 2 groups
null distribution of test of association
chi-squared distribution
goodness-of-fit for poisson distribution
used to determine whether events happen in a poisson distribution
1 - pchisq(chi-squared value, df)
finds the p-value using chi-squared value + df
qchisq(1 - alpha, df)
finds the critical value using alpha + df
pnorm(x)
finds the probability of x and less
qnorm(x)
finds the percentile of x and less