Measurement Unit Review

Henry divides 1.060 g by 1.0 mL to find the density of his water sample. How many significant figures should he include in the density value that he reports?

• one

• two

• three

• four

William adds two values, following the rules for using significant figures in computations. He should write the sum of these two numbers by using:

• the same number of decimal places as the least precise value.

• the same number of decimal places as the most precise value.

• a range of the number of significant figures in the two values.

• an average of the number of significant figures in the two values.

Andi performs the calculation :

How should the answer be reported using the correct number of significant figures?

• 3.59

• 3.591

• 3.6

• 4.0

Which of these rules is applicable to subtracting two values that have different numbers of decimal places (for example, subtracting 2.1 from 2.15)?

• The answer is less accurate than either value.

• The answer is more precise than either value.

• The answer has the same number of decimal places as the least precise value.

• The answer has the same number of significant figures as the most precise value.

Why do scientists use scientific notation to represent very small and large numbers?

• accuracy of measured quantities

• to simplify the number by using fewer digits

• number of significant figures

• precision of measurements

Which measurement of length is the smallest?

• $9\ \times\ 10^{-6}\ m$

• $7\ \times\ 10^{-5}\ m$

• $7\ \times\ 10^{1\ }\ m$

• $9\ \times\ 10^2\ m$

Which is the correct way to represent 0.0035 kg by using scientific notation?

• $-3.5\ \times\ 10^3\ kg$

• $-3.5\ \times\ 10^{-3}\ kg$

• $3.5\ \times\ 10^{-3}\ kg$

• $3.5\ \times\ 10^3\ kg$

How is 6.3 written in scientific notation?

• $6.3\ \times10^0$

• $63\ \times10^{-1}$

• $6.3\times10^1$

• $63\ \times10^0$

Joseph divides 8.64 by 2.0. How many significant figures should his answer have?

• one

• two

• three

• five

Precision can be defined as the

• exact center of a data set.

• reproducibility of a measured value.

• correlation between two variables that are measured in a data set.

• agreement between a measured value and an accepted value.