(Greasy)
Deals with collecting, analyzing, and interpreting and presenting data
statistics
collection of persons, things or objects being studied
population
subset of a population
sample
The Institutional Review Board oversees studies ensuring that these three main participant mandates are followed
privacy
informed consent
minimalized risk
define a statistics and a parameter
a number that represents a property of the sample
a number that represents a property of a whole population
Type of statistics dealing with making conclusions
inferential statistics
characteristic or measurement that can be determined for each member of a population (the question)
variable
two categories of measurement (explain each)
qualitative categorical
quantitative numerical
the actual value of the variable (answer)
data
two types of quantitative values
discrete (no decimal values)
continuous (can have decimal values)
a bar graph in highest to lowest order
pareto chart
type of sampling that groups the data, then randomly select from each group
stratified
type of sampling that groups the data, then randomly select an entire random group or groups
cluster
type of sampling that orders the data, then randomly selects the every nth member of the group
systematic
explain the difference between a sampling and non-sampling error
sampling error-collecting the sample
non-sampling error-calculation error
Variation occurs sometimes, never or always
always
level of measurement with no order (categories)
nominal scale
level of measurement that has order but cannot measure differences (top 5 States)
ordinal scale
level of measurement that can be ordered but has no zero value (temperature)
interval scale
level of measurement has a zero point and gives the most information about the data (exam scores)
Ratio scale
number of times a value occurs
Frequency
ratio of frequency to total set of all outcomes
relative frequency
Accumulation of all previous relative frequencies
cumulative relative frequency
explain the difference between the response variable and the explanatory variable
EV the variable that causes a change
RV the variable that gets affected
Daily Double:
factor that affects non-bias
fake treatment
nonreal medicine
The subject doesn't know if treatment is real
subject and researcher doesn't know treatment group from control group
lurking variable
control group
Placebo
blinding
double blind