A study to compare two methods of preserving wood started with boards of southern white pine. Each board was ripped from end to end to form two edge-matched specimens. One was assigned to Method A, the other to Method B.
1. What is the name for each of these study designs?
A) A block design. B) A matched pairs design. C) A probability sampling design. D) A stratified random sample design.

B) A matched pairs design.

Because we satisfy the condition of randomized block design. We just have two treatment conditions (Method A and B) and the information can be grouped by pairs and the researcher define a blocking variable. And all the subjects are randomly assigned to the treatments.

Step-by-step explanation:

For this case we want to compare two methods preserving wood started with boards of southern white pine.

Let's analyze one by one the possible options for this case:

A) A block design.

False. In order to satisfy a block design we need to satisfy a placebo condition at some level, and that's not the case.

B) A matched pairs design.

Because we satisfy the condition of randomized block design. We just have two treatment conditions (Method A and B) and the information can be grouped by pairs and the researcher define a blocking variable. And all the subjects are randomly assigned to the treatments.

C) A probability sampling design.

False. That's a a method for select the sample but is not appropiate used when we want to select a design

D) A stratified random sample design.

False. That's a a method for select the sample but is not appropiate used when we want to select a design

in mathematics, a constraint is a condition of an optimization problem that the solution must satisfy. there are several types of constraints—primarily equality constraints, inequality constraints, and integer constraints. the set of candidate solutions that satisfy all constraints is called the feasible set.

hoped i'm right lol