To calculate a confidence interval for a population mean, follow these steps:
Refer to the table below and select t statistic or z statistic as per the scenario.
|Sampling from||Small sample size||Large sample size|
|Normal distribution||Variance known||z||z|
|Variance unknown||t||t (or z)|
|Non–normal distribution||Variance known||NA||z|
|Variance unknown||NA||t (or z)|
Use the following formulae to calculate the confidence interval:
For a Z distribution,
90% confidence à critical value = 1.65
95% confidence à critical value = 1.96
99% confidence à critical value = 2.58
You take a random sample of 100 large cap stocks. The average returns of these stocks for the past year is 12%. Assume that the average returns for all large-cap stocks in the economy follow a normal distribution with a standard deviation of 3%. Construct a 99% confidence interval for the average return all large-cap stocks for the past year.
Since the population variance is known (the standard deviation of all large cap stocks), we will use Z statistic.
For confidence level of 99%, 1% error in both tails i.e. 0.5% (0.005) in one tail. Zα/2 = Z0.005 = 2.58 (From Z-table)
The confidence interval can be calculated as
You construct a sample of monthly returns of Stock A for the past two years. The stock has a mean return of 2% and a standard deviation of 8%. Compute the 95% confidence interval for the average monthly returns for this stock.
Since the population variance is unknown (the variance of monthly returns of Stock A over its entire history, we only have data for the past two years) we will use t statistic.
Degrees of freedom = 24 – 1 = 23 (two years = 24 months)
For confidence level of 95%, 5% error in both tails, i.e. 2.5%(0.025) in one tail tα/2 = t24, 0.025 = 2.069
The confidence interval can be calculated as: