Final answer:
To conduct a block experimental design, volunteers are grouped based on age for Part A, and on both age and gender for Part B. Assigning treatments in Part C should involve randomization to ensure unbiased distribution.
Step-by-step explanation:
To answer the student's question about comparing skin dryness using different formula lotions, we need to design an experiment using block designs.
Since the scientists believe that skin dryness is based on age and not gender, we create blocks by pairing volunteers with similar ages. Here are the four blocks:
- Block 1: Volunteers 1 (23 years old) and 5 (22 years old)
- Block 2: Volunteers 2 (25 years old) and 4 (24 years old)
- Block 3: Volunteers 6 (53 years old) and 7 (52 years old)
- Block 4: Volunteers 3 (51 years old) and 8 (56 years old)
Criteria: Volunteers are paired into blocks based on the closest ages.
The blocks will be adjusted to account for both age and gender. Here are the new blocks:
- Block 1: Female Volunteers 2 (25 years old) and 4 (24 years old)
- Block 2: Male Volunteers 1 (23 years old) and 5 (22 years old)
- Block 3: Male Volunteers 6 (53 years old) and 7 (52 years old)
- Block 4: Female Volunteers 3 (51 years old) and 8 (56 years old)
Criteria: Volunteers are paired into blocks based on the closest ages and then separated by gender.
For treatment assignment, the outside analysis firm should ensure that there is randomization within each block. A simple random selection, such as flipping a coin or drawing lots, could be used to decide which block gets the new formula and which gets the current formula. An appropriate process would be to randomly assign two blocks to the new formula and two blocks to the current formula, without any bias towards age or gender.
As such, yes, they can indeed assign the treatment appropriately using a randomized process.