A nurse researcher reports a 95% confidence interval (CI) of 30.41 and 31.59. How would a nurse reading this research report interpret these results?
1. The two most commonly occurring answers are 30 and 31.
2. Ninety-five out of 100 nurses would answer either 30.41 or 31.59 to a given question.
3. The researcher can be 95% confident that if the study were repeated with another sample of 100 nurses, the average or mean score would fall between 30.41 and 31.59 in the sample.
4. The researcher can be 99% confident that if the study were repeated with another sample of 100 nurses, the average or mean score would fall between 30.41 and 31.59 in the sample.
3
Rationale 1: Confidence intervals have lower and higher limits or boundaries, so two numbers are reported as the parameters of the confidence interval.
Rationale 2: Confidence levels have to do with the estimation of the parameters of the population.
Rationale 3: The confidence interval is a range of values (in this case 30.41 and 31.59) that, with a specified degree of probability (in this case 95%), is thought to contain the population value.
Rationale 4: This answer would indicate the researcher could be even more confident in the answer or 99% confident that if the study were repeated with another sample of 100 nurses, the average or mean score would fall between 30.41 and 31.59 in the sample.
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