With the inferences and estimations a researcher is able to estimate a population parameter and the expected degree of error on the basis of one sample drawn from a population. The logic of confidence levels and confidence intervals provides the basis for determining the _____ for a study. Once we decide on the sampling error we can tolerate, we can calculate the number of cases needed in our Sample.

Question

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A. The correct answer is "A" because with the inferences and estimations a researcher is able to estimate a population parameter and the expected degree of error on the basis of one sample drawn from a population. The logic of confidence levels and confidence intervals provides the basis for determining the appropriate sample size for a study. Once we decide on the sampling error we can tolerate, we can calculate the number of cases needed in our Sample.
B. This is an incorrect answer because with the inferences and estimations a researcher is able to estimate a population parameter and the expected degree of error on the basis of one sample drawn from a population. The logic of confidence levels and confidence intervals provides the basis for determining the appropriate sample size for a study. Once we decide on the sampling error we can tolerate, we can calculate the number of cases needed in our Sample.
C. This is an incorrect answer because with the inferences and estimations a researcher is able to estimate a population parameter and the expected degree of error on the basis of one sample drawn from a population. The logic of confidence levels and confidence intervals provides the basis for determining the appropriate sample size for a study. Once we decide on the sampling error we can tolerate, we can calculate the number of cases needed in our Sample.
D. This is an incorrect answer because with the inferences and estimations a researcher is able to estimate a population parameter and the expected degree of error on the basis of one sample drawn from a population. The logic of confidence levels and confidence intervals provides the basis for determining the appropriate sample size for a study. Once we decide on the sampling error we can tolerate, we can calculate the number of cases needed in our Sample.

With the Inferences and Estimations a Researcher Is Able to Estimate