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.

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Answer:

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.

Step-by-step explanation:

Variation in data may be explained as the non-uniformity in the values assigned to each individual variable in the data table. As a result of the non-uniformity or differences which exists in the values assigned to individual variables or changes due over time. This will usually lead to differences in the statistical result obtained when data undergoes analysis.