DataCamp

Confidence interval and significance testing

Do you remember how to calculate confidence intervals? If not, let's shortly recap this. You can calculate a confidence interval, say a 95% confidence interval, by taking the mean and adding and subtracting its standard error multiplied by the given t value or z value. Usually confidence intervals are expressed as a two-sided range as we will also do in this exercise.

A 95% confidence intervals can be interpreted as that we are 95% confident that this interval will contain our population statistic. Take our last example where we found a standard error of 0.71, a population mean of 185, and a sample mean of 186.5. As the sample size was 50, our relevant degrees of freedom were 49.

Calculate the associated t value with a 95% confidence interval, round it to two digits and store it in the variable t_value. Be aware of the fact that this is similar to a two-way hypothesis testing and you need to consider areas in both tails so you will need to use the 97.5 or a 2.5 percentile.
Calculate the 95% confidence interval, round the lower and upper value of the confidence interval to two digits and store it in a variable called conf_interval
Print the variabe conf_interval to the console.

Take Hint (-30xp)

Exercise

Confidence interval and significance testing

Instructions