Explain what is meant when it is said that​ "data vary". How does the variability affect the results of statistical​ analysis? Choose the correct answer below. A. Saying​ "data vary" means that examining different types of subjects will yield different​ data, such as examining a person and examining a car. Because data​ vary, it is impossible to compare different types of​ subjects, such as comparing people and cars. B. Saying​ "data vary" means that the values of the variable change every time they are observed. Because data​ vary, each statistical analysis of a given variable will lead to different results. C. Saying​ "data vary" means that the values of the variable change from individual to individual. In​ addition, certain variables can change over time for certain individuals. Because data​ vary, two different statistical analysis of the same variable can lead to different results. D. Saying​ "data vary" means that observations can be measured with fractions or decimals instead of only integers. Because data​ vary, it is important to make sure to accurately account for fractional observations.