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Step 1:
I'll solve this problem step by step, focusing on the statistical concept of stratified sampling.

Step 2:
: Understand Stratified Sampling

Stratified sampling is a sampling technique where the population is divided into subgroups (strata) based on shared characteristics. The goal is to ensure that each stratum represents a specific segment of the population.

Step 3:
: Analyze the Key Claim

The statement claims that in a stratified sample, the number of individuals in each stratum must be exactly equal.

Step 4:
: Evaluate the Claim

This claim is FALSE. In stratified sampling, the key requirement is not equal sample sizes, but rather: - Each stratum should be representative of its population segment - The sampling should capture the variation within each stratum - The sample size can vary based on the stratum's characteristics and population distribution

Step 5:
: Reasoning

- Strata can have different sizes naturally reflecting population demographics - What matters is that each stratum adequately represents its population segment - Proportional representation is more important than equal absolute numbers

Step 6:
: Identify the Correct Answer

\text{False, because as long as each stratum has a threshold number of individuals representative of the variation in the population, results are meaningful.}
The correct answer is Option B:

Final Answer

The number of individuals in each stratum does not need to be exactly equal, as long as each stratum adequately represents its population segment.