formulas
z-score formula
what is z= statistic - parameter / standard error of statistic
Definition of mean
The total sum of all the values divided by the number of values in the sample
conditions for a binomial setting
pass/fail, independent, fixed probability, fixed trials
a sample type where individuals are sampled based on how available they are
convenience sample
the numbers 68,95,99.7 are...
the imperical rule
outlier rule
1.5(Q3-Q1)
Q3+(1.5 rule)
Q1 - (1.5 rule)
definition of percentile
the value with p% of observations less than or equal to it
conditions for geometic setting
pass/fail, fixed probability, independent, looking for the number of outcomes
choosing individuals from a population that each person has equal chance of being selected
simple random sample
SOCS
shape, outliers, center, spread
slope formula
parameter vs statistic definition
parameter- a number that describes the population
statistic - a number calculated from the sample data
conditions for one sample tests or intervals
random, independent, normal (large counts)
population is divided into smaller groups and individuals are randomly selected from every group
stratified random sample
Form, unusual, direction, strength
addition rule
P(A or B)= P(A) + P(B) - P(A n B)
Precision vs accuracy definition
precision - low variability
accuracy - close to true value
conditions for chi-squared
random, independent, large counts
population divided into smaller groups, randomly select group, and sample the entire group
cluster sample
type one error vs type two error
type one: reject Ho but Ho is true
type two: fail to reject Ho but Ha is true
Chi-Squared formula
x2= sum (observed-expected)2/expected
definition of power
the probability that the test will correctly find convincing evidence for Ha
conditions for an inference about slope
linear, Independent, normal, equal standard deviation, random
voluntary response, undercoverage, non-response, response
describe the a confidence level
If we were to select many random samples of the same size from the same population and construct a c% confidence internal using each sample, about c% of the intervals would capture [parameter in context]