The correct answer is: B. Confidence interval
A confidence interval is a range of values that is likely to contain the true value of a population parameter. It is calculated by taking the sample estimate and adding and subtracting a margin of error. The margin of error is calculated based on the sample size and the confidence level.
A probability distribution is a mathematical function that describes the probability of a random variable taking on different values. It is often used to model the uncertainty associated with a statistical estimate.
Variance estimation is the process of estimating the variance of a population from a sample. The variance is a measure of the spread of a data set. It is calculated by taking the sum of the squared deviations from the mean and dividing by the number of observations minus 1.
In data science, the term for the process of quantifying the uncertainty associated with a statistical estimate is confidence interval. A confidence interval is a range of values that is likely to contain the true value of a population parameter. It is calculated by taking the sample estimate and adding and subtracting a margin of error. The margin of error is calculated based on the sample size and the confidence level.