We have a sample with a size n = 20 with a mean of M = 5.40 hours and a standard deviation of s = 2.28 hours.
We have to find the 95% confidence interval from this sample.
The population standard deviation is not known, so we have to estimate it from the sample standard deviation and use a t-students distribution to calculate the critical value.
When σ is not known, s divided by the square root of N is used as an estimate of σM:
The degrees of freedom for this sample size are:
The t-value for a 95% confidence interval and 19 degrees of freedom is t = 2.093.
The margin of error (MOE) can be calculated as:
Then, the lower and upper bounds of the confidence interval are:
The 95% confidence interval is from 4.33 hours to 6.47 hours.
We now have to find the correct interpretation of this confidence interval.
The confidence interval tell us that we expect 95% of the sample means drawn from this population will fall within this limits.
This correspond to the definition given in D: "95% of all possible random samples of 20 adults in the region have mean amounts of time spent per day on digital media last year that are between the interval's bounds."
We can also conclude that there is 95% confidence that the population mean will lie within the interval. This correspond to option C: "With 95% confidence, the mean amount of time spent per day on digital media last year by all adults in the region is between the interval's bounds."
Answer:
a) The 95% confidence interval is from 4.33 hours to 6.47 hours.
b) Options C and D