How to define experimental units

AP Statistics · Learn by Concept

Help Questions

AP Statistics › How to define experimental units

1 - 3
1

When designing an experiment, what is the purpose of blocking?

To separate a particular sample into groups previously known to be similar in some way that are expected to affect response to treatments

CORRECT

To increase the number of experimental units

0

To use chance to randomly assign experimental units to treatment groups (or vice versa)

0

To hold an extraneous variable constant

0

None of the other answers

0

Explanation

The purpose of blocking, by definition, is to separate a particular sample into groups previously known to be similar in some way that are expected to affect response to treatments. The other choices pertain to control (keeping an extraneous variable constant), randomization (using random chance to assign experimental units to treatments), and replication (increasing the number of experimental units to reduce chance variation) in an experiment.

2

Of the following examples, which best describes quantitative data?

Temperature measurements of water in degrees Fahrenheit.

CORRECT

A student's least favorite sport.

0

College grade level-freshman, sophomore, junior, or senior.

0

A child's gender.

0

The softness of a chair.

0

Explanation

Quantitative data describes a certain type of information that can be counted or expressed numerically and can be used in meaningful computations. Quantitative data is different from qualitative data, which is primarily involved in describing things in terms of categorizations or specific qualities. Looking at the answer choices, it is clear that measuring the temperature of water in degrees Fahrenheit is a numerical piece of information, and is thus quantitative.

3

Which of the following is an example of qualitative data?

The gender of a high school student

CORRECT

The speed at which a car is traveling

0

The temperature of a glass of water

0

The amount of carbon monoxide emissions in the air

0

The average SAT score of students at a particular high school

0

Explanation

The only example of qualitative data here is the gender of a high school student (i.e. male or female). This cannot be quantified, unlike the other answer choices which all have numbers, quantities, and amounts associated with them.