Confidence Intervals and Statistical Significance Quiz

95% accuracy of the estimate proportion

95% probability that the true proportion is in the confidence interval (correct)

95% chance that the estimate proportion falls within the interval if an experiment is repeated

95% of the sample data falls within the confidence interval

The mean is always greater than the median

The median is more affected by outliers than the mean

The mean represents that half the samples are under the value and the other half over it

The mean and the median have always the same value (correct)

The Gaussian distribution is an idealisation of a random process and data must necessarily look Gaussian (correct)

The Gaussian distribution is always perfectly symmetrical

If the p-value is high in a normality test, the observed data is not incompatible with a Gaussian distribution

Normality tests allow us to quantify if the data contradicts the Gaussian assumption