CHAPTER 2- ADV. ACCESS FOR STATISTICS FOR EBP

Question 1

The propensity for quantitative data to cluster around a certain point value; measures of typical or average values in a set of data points.

Answer 1

CENTRAL TENDENCY

Question 2

Examining data to determine whether there is sufficient evidence to reject the null hypothesis.

Answer 2

HYPOTHESIS TESTING

Question 3

Statistics that allow a researcher to generalize about a population based on the results from the sample.

Answer 3

INFERENTIAL STATISTICS

Question 4

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.

Answer 4

NONRANDOM SAMPLING

Question 5

A characteristic of a population.

Answer 5

PARAMETER

Question 6

All the members of a group of interest.

Answer 6

POPULATION

Question 7

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.

Answer 7

POWER ANALYSIS

Question 8

Likelihood that something will happen.

Answer 8

PROBABILITY

Question 9

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.

Answer 9

RANDOM SAMPLING

Question 10

A subset of a population under investigation; the results from research on the sample are used to extrapolate to the population as whole.

Answer 10

SAMPLE

Question 11

The act of selecting a sample from a population.

Answer 11

SAMPLING

Question 12

The distribution of a given statistic as derived from all possible samples of a population.

Answer 12

SAMPLING DISTRIBTUION

Question 13

The discrepancy between a statistic computed from a sample and the same statistic computed from the population.

Answer 13

SAMPLING ERROR

Question 14

If cost is not an issue and researchers are able to access the whole population being studied, which sampling method is best to use?

Answer 14

VOLUNTEER

Question 15

BMI, blood pressure, blood sugar, and cholesterol measurements of study participants are examples of

Answer 15

STATISTICS

Question 16

Probability weakens rational decision-making

Answer 16

FALSE

Question 17

With regard to sampling distribution of sample means, the mean of all sample means from a population will be larger than the population mean.

Answer 17

FALSE

Question 18

Which component of a study can influence the inference process?

Answer 18

Representatives of the sample