Suppose a researcher wished to estimate the mean resting heart rate of individua

Question

Suppose a researcher wished to estimate the mean resting heart rate of individuals at UPEI. To do this, 5 individuals were randomly chosen (via a random number table) from students specifically hanging out at the sports centre. The sample mean was found to be 56 beats/min with a population standard deviation of 3 beats/min. Should you calculate a 95% confidence interval for this data? Justify your answer. Select the appropriate choice below. This is a biased sample due to the fact that all students were sampled from the sports centre. Therefore, you should NOT calculate a confidence interval based on this sample data. This is a biased sample because you are trying to estimate a population mean from a sample mean. Therefore, you should NOT calculate a confidence interval based on this sample data. This sample is representative of all students at UPEI because, despite the fact that all individuals sampled were at the sports centre, they were chosen randomly. Therefore, you CAN safely calculate the confidence interval and expect accurate results. Since you are using a sample mean to estimate a population mean, it does not matter how you obtain the sample mean. A confidence interval removes any bias that may be present. Therefore, you CAN calculate an accurate confidence interval based on this data.

Explanation / Answer

option d is the right answer we can calculate t value for 95 % CI for 4 df and then MOE fter that CI

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