A 95% confidence interval means that: Group of answer choices There is a 95% chance that the sample mean is equal to the population mean. If we were to repeat the study many times, 95% of the calculated confidence intervals would contain the true population parameter. 95% of the data points in the sample fall within the interval. There is a 95% chance that the population parameter falls within the calculated interval.
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It means that if we repeated the study many times and computed a 95% CI from each sample, about 95% of those intervals would contain the true population parameter. Show more…
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C.If we repeat an experiment 100 times (creating 100 different samples) and construct a 95% confidence interval each time, then approximately 95 of those 100 intervals would contain the true mean μ. D. A 95% confidence interval is a numerical interval within which we are 95% confident that the sample mean μ lies.
Madhur L.
What does a 95% confidence interval mean? A. The population mean is always inside the interval. B. 95% of all possible samples will produce intervals containing the population mean. C. There’s a 95% chance the sample mean is correct. D. The sample data is 95% accurate.
Aparna S.
Which of the following would be a valid statement regarding a 95% confidence interval for the unknown mean of a population. Group of answer choices We are 95% confident that the unknown population mean is contained in the interval. There is a 95% chance that the confidence interval contains the true mean. 95% of the data falls within the confidence interval. The method used to generate this interval will correctly generate other intervals that contain the true sample mean 95% of the time. The population mean will fall within this specific confidence interval 95% of the time. 95% of the confidence intervals calculated using this method will contain the true population mean. If you produced 100 confidence intervals using the same method, we would expect that approximately 95 of them will contain the true population mean. There is a 95% probability that the true mean lies in this specific interval.
Hubert A.
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