1. A (a)   data is ideally a set that is both precise and accurate.

1. A (a)   is a non-uniform mixture in which the components separate and the composition varies.

1. A (a)   is one that is present in every measurement and oftentimes has the same degree of error.

1. (a)   are errors that are not constant and usually vary from one measurement to another.

Why do we need to classify matter?

Why do quantitative observations play an important role in scientific studies?

Distinguish accuracy from precision.

Why is it important to study matter, its different properties, and the different changes it can undergo?

What makes extensive properties different from intensive properties? Provide some examples.

In your own words, explain the difference between simple distillation from fractional distillation.

Discuss how evaporation which is one of the separation techniques works. Provide an example.