Random sample is a sample in which every individual or element in the population has an equal chance of being selected.
Random sample is a representative of the entire population.
The following are examples of random samples.
An environmentalist took 9 samples of effluents of an industry at different points.
A teacher chose a boy and a girl from a group of equally talented boys and girls to lead a parade.
A. No
B. Yes
Correct answer: B
Step 1: Chris picked 16 marbles randomly from the box without looking, so he doesn't know which color marble he picked up.
Step 2: All the three colored marbles have equal chance of being selected.
Step 3: So, the event of picking up the 16 marbles is a random sample.
Q1: Which of the following is NOT a characteristic of a random sample?
Q: Why is random sampling important?
A: It minimizes bias and allows for statistical inferences about the population.
Q: How do I ensure a sample is truly random?
A: Use random number generators or other objective methods to select participants.