Accelerated Biology                                                                                      Room Copy
                                                 Lab: Probability

PURPOSE
     To understand the fundamentals of probability and learn how to use the product rule.

INTRODUCTION
     Take a chance! If 200 chances to win a guitar were sold and you bought 10, what would be the probability that you would win? Probability is expressed as a ratio: the number of times something occurs (10) over the total number of possible occurrences (200). So, you can calculate the
probability of winning by dividing 10 by 200. In this case, the probability (p) would be p = 1/20,
or .05, or 5 percent. Probability is a numerical expression of the likelihood that an event will occur.

PROCEDURE
A. Sample Size
     When you toss a coin, what is the probability that it will land with the head side up? The answer is 1/2, or .5, or 50 percent. In 10 throws you would expect to get 5 heads and 5 tails.
     When you actually throw the coin, you may not get a 5-heads:5-tails ratio. The difference between what you expect according to probability and what happens is called the deviation. For example, if you get 6 heads and 4 tails your deviation is 2 (1 from the expected 5 heads plus1 from the expected 5 tails).
     Deviation is normally expressed as a percent. The percent deviation is calculated as follows:                   percent deviation = _______deviation_______
                                             total number of occurrences

                                                                                                          = 2/10 = .2 = 20 percent

1. Calculate the percent deviation for 3 heads and 7 tails out of 10 throws.

2. Toss a coin 10 times and record the results on the chart. Repeat the process for 9 more trials
      (of 10 throws each), making 100 throws in all. Total the number of heads and of tails, and
      calculate the percent deviation for the entire 100 throws.

                                          Totals = __________ ______________
                                          Percent deviation for 100 throws = _____________________


3. Would you expect the deviation for a sample size of 10 throws (trials 1-10) to vary to a greater           degree or to a lesser degree than the deviation for a sample size of 100 throws (1-10 totals)?

4. Does the answer to question 3 suggest to you that a smaller sample size or a larger sample
     size improves the accuracy of your probability?

                                       * I don't know about you, but I'd call that a deviation.

B. The Product Rule
      The product rule states the probability that two independent events will occur simultaneously. Independent events are events that do not influence one another. For example, if you roll two
dice, the number that comes up on one does not influence the number on the other.
In this section you will use coins to discover the product rule of probability.

5. Flip 2 coins 100 times. Tally the results on the chart.

6. What is the nearest whole-number ratio of the results (two heads : one head and one tail :
      two tails)? 1:1:1; 2:1:1; 1:2:1; 1:1:2; or some other?


     The probability of getting heads on the first coin is ½ , or .5; and the probability of getting heads
on the second coin also is ½ . You can determine the probability that both coins will come up
heads by multiplying the individual probabilities.

                          ½ x ½ = ¼ , or .25

7. What is the probability of getting two tails on two coins?


8. What is the probability of getting a head on the first coin and a tail on the second coin?


9. What is the probability of getting a tail on the first coin and a head on the second coin?
     Note that there are two ways of getting 1 head and 1 tail-the head first or the tail first. You
     can find the probability of getting 1 head and 1 tail by adding the two individual probabilities.

                         First Coin      Second Coin
                            head                tail                  p = ¼
                            tail                   head               p = ¼
                                                                                     ¼ + ¼ = ½ . Thus p = ½ or .5

     To summarize, the probability of getting the different combinations of the two coins is:
                         2 heads                         p = ¼ , or .25
                         1 head, 1 tail                  p = ½ , or .50
                         2 tails                            p = ¼ , or .25

10. Refer to the data for your 100 throws of the two coins and calculate the percent deviation from
      the expected probability. First calculate the number of occurrences of each combination
      expected in 100 throws. Then calculate the deviation between your results and the number
      of occurrences.
     a) Expected occurrences for 2 heads - _____
            Percent deviation for 2 heads = ___________
     b) Expected occurrences for 1 head, 1 tail = _____
            Percent deviation for 1 head, 1 tail = ___________
     c) Expected occurrences for 2 tails = _____
            Percent deviation for 2 tails = ___________
     Percent deviation for 100 throws = ___________

11. Calculate the probability of the following independent events occurring simultaneously.
     SHOW MATH.
     a) Flipping 5 coins and all land heads.
     b) Throwing 4 dice and getting all sixes.
     c) Pulling an ace of spades twice in a row (from 2 full decks of cards).

12. Complete the following statement:
     The Product Rule of Probability: To calculate the probability that two independent events
      will occur simultaneously, you …………………….

Applying Product Rule to Genetics:

13. Two parent plants, hybrid for flower color are crossed. (Assume: R = red & r = white)
     (Express ALL answers as fractions)
          a) What is the probability of producing a red egg?
          b) What is the probability of producing a white sperm?
     (SHOW MATH)
          c) What is the probability of producing a pure red flower?
          d) What is the probability of producing a hybrid red flower?
          e) What is the probability of producing a white flower?

14. a) What is the probability of producing a "RT" egg from a female "RrTt" parent?
     b) What is the probability of producing a "RT" sperm from a male "RrTt" parent?
     c) What is the probability of producing a "RRTT" child from a cross of two "RrTt" parents?