C1: Multiple Choice Questions on Data

What does accuracy refer to?

• How close repeated measurements are to each other.

• How close a measured value is to the true value.

• The number of significant figures in a measurement.

What does precision refer to?

• How close a measured value is to the true value.

• How close repeated measurements are to each other.

• The ability to make inferences based on data.

What is an inference?

• A numerical measurement.

• A conclusion based on observations and prior knowledge.

• A type of qualitative data.

Which of the following is an example of qualitative data?

• The temperature of a liquid.

• The color of a flower.

• The mass of a rock.

Which of the following is an example of quantitative data?

• The texture of a fabric.

• The number of students in a class.

• The smell of a substance.

What are significant figures?

• The digits in a measurement that are known with certainty plus one estimated digit.

• The total number of digits in a measurement.

• The digits that are not important in a measurement.

Why is accuracy important in scientific measurements?

• It ensures that measurements are close to the true value.

• It ensures that measurements are consistent with each other.

• It helps in making inferences.

Why is precision important in scientific measurements?

• It ensures that measurements are close to the true value.

• It ensures that measurements are consistent with each other.

• It helps in identifying significant figures.

Which of the following best describes qualitative data?

• Data that can be measured and counted.

• Data that describes qualities or characteristics.

• Data that includes significant figures.

Which of the following best describes quantitative data?

• Data that describes qualities or characteristics.

• Data that can be measured and counted.

• Data that is used to make inferences.