CHAPTER 2- ADV. ACCESS FOR STATISTICS FOR EBP Flashcards
The propensity for quantitative data to cluster around a certain point value; measures of typical or average values in a set of data points.
CENTRAL TENDENCY
Examining data to determine whether there is sufficient evidence to reject the null hypothesis.
HYPOTHESIS TESTING
Statistics that allow a researcher to generalize about a population based on the results from the sample.
INFERENTIAL STATISTICS
The selection of members from a population based on something other than chance, often used to make a study more feasible or when the population of interest is difficult to access. Types include convenience sampling, volunteer sampling, quota sampling, and snowball sampling. This sampling type involves a trade-off of generalizability for feasibility.
NONRANDOM SAMPLING
A characteristic of a population.
PARAMETER
All the members of a group of interest.
POPULATION
A procedure used to calculate the minimum sample size required to be able to detect statistical significance based on effect size, or to calculate the level of power, given a sample size.
POWER ANALYSIS
Likelihood that something will happen.
PROBABILITY
The selection of members from a population based solely on chance; all members of the population have equal likelihood of being selected. Types include simple random sampling, systematic random sampling, stratified random sampling, and cluster sampling.
RANDOM SAMPLING
A subset of a population under investigation; the results from research on the sample are used to extrapolate to the population as whole.
SAMPLE
The act of selecting a sample from a population.
SAMPLING
The distribution of a given statistic as derived from all possible samples of a population.
SAMPLING DISTRIBTUION
The discrepancy between a statistic computed from a sample and the same statistic computed from the population.
SAMPLING ERROR
If cost is not an issue and researchers are able to access the whole population being studied, which sampling method is best to use?
VOLUNTEER
BMI, blood pressure, blood sugar, and cholesterol measurements of study participants are examples of
STATISTICS