Without a random sample, we cannot
A) calculate statistics.
B) collect quantitative data.
C) accurately estimate the parameters of a population.
D) consult a decision tree to decide on an appropriate statistical procedure.

Question

Quizplus · Accepted Answer

A random sample is necessary for accurately estimating the parameters of a population. Without a random sample, there is a risk of selection bias, which could result in inaccurate estimates of population parameters. The other options may still be possible without a random sample, but the accuracy of the results would likely be compromised.

Without a Random Sample, We Cannot