1. Random Sampling Playing cards are our participants
Our population is all 52 cards in the deck
Vary on three characteristics:
Color
red or black
Suit
hearts, diamonds, spades, or clubs
Type
number (2-10) or face (J, Q, K, and A)
Make a list of at least five characteristics that human subjects might vary on.

2. Random Sampling

3. Random Sampling Shuffle deck thoroughly before each trial
For the first trial, randomly sample 5 participants and count how many of each characteristic you have
Next, calculate the percentage of each by dividing by 5 and then multiplying your answer by 100
Repeat for 10 participants and then again for 20

4. In a playing card population, there are:
50% black, 50% red
25% hearts, 25% diamonds, 25% spades, and 25% clubs
69% number, and 31% face
Questions:
1) In which group (5, 10, or 20) were your percentages closest to the population totals above? What does this tell you about sample size in any experiment?
2) Why do researchers use random sampling instead of trying to select a representative sample themselves?
3) Explain the difference between random sampling and random assignment.