Sampling error is defined as:
A) How sure a researcher can be that the results of the sample represent the population.
B) The degree of difference between the sample and the population from which it was drawn.
C) The degree of variability in the population on key variables.
D) The point at which additional sampling produces no new insights or observations.
Correct Answer:
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Q11: To draw a sample, the researcher selects
Q12: A researcher interested in making inferences believes
Q13: A researcher selects the most available elements
Q14: The decision to use non-probability sampling approach
Q15: In which of the following sampling methods
Q17: A confidence level of 95% means that:
A)
Q18: In terms of the margin of error,
Q19: Which of the following should be considered
Q20: Which of the following represents a viable
Q21: List the six steps necessary for addressing
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