// File MIT-Lab-02-01-00-01.txt. Edition 12/29/2012. // Lab Specs // Title Card_Draw_Simulation // Problem Specs // PauseCheckbox(-1 checked 0 cleared) ` -1 Objective: Illustrate the relative frequency interpretation of probability. That is, show that after many, many repetitions of the experiment, the distribution of the random variable's numerical values mirrors the probability distribution of the random variable. ` -1 Experiment: Draw one card from a deck and then replace it. _ The list in the upper left corner of the window indicates the cards that are in the deck. By default, only four cards are in the deck: 2 of Clubs, 3 of Hearts, 3 of Diamonds, and 4 of Hearts. Do not change the default settings. _ Let v equal the "value" of the card drawn; that is, v equals 2 if the 2 of Clubs is drawn, 3 if the 3 of Hearts or the 3 of Diamonds is drawn, and 4 if the 4 of Hearts is drawn. ` -1 1. What is the probability that v would equal each of its possible values (2, 3, and 4) for a single repetition the experiment? _ Note that the Pause checkbox is checked. Consequently, the simulation will pause after each repetition. _ 2. Click the Start button. Which card was drawn from the deck? What does numerical value of v equal on the first repetition of the experiment? ` -1 3. Click the Continue button to repeat the experiment for a second time. What does numerical value of v equal on the second repetition of the experiment? Click the Continue button a few more times. What does the numerical value of v equal for each repetition of the experiment? Explain why v is a random variable. _ The histogram seen above illustrates the distribution of the numerical values of the v's visually; ` 0 Now the Pause checkbox has been cleared. Therefore, the simulation will no longer pause after each repetition of the experiment. _ 4. Click the Continue button. After many, many repetitions click the Stop button. What are the relative frequencies of the numerical values of the v's after many, many repetitions? _ 5. Compare your answers to 1 and 4; that is, compare the probabilities and the relative frequencies. How is the probability distribution related to the distribution of the numerical values after many, many repetitions?