1 / 14

Warm-up

Warm-up. Would it be fair to give a report card grade based on 1 test? or 1 assignment? Would it be accurate to conclude that a coin will always come up heads after flipping it once?

Download Presentation

Warm-up

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Warm-up • Would it be fair to give a report card grade based on 1 test? or 1 assignment? • Would it be accurate to conclude that a coin will always come up heads after flipping it once? • If 50% of students in a class said they like country music, do you think that means 50% of students in the whole school like country music? • Could you assume that if a person throws a basketball once and makes a basket from half court, then they are a good shooter?

  2. Classical and Empirical Probability

  3. Classical/Theoretical Probability • Assumes that we are given a situation in which all outcomes are equally likely to occur.

  4. A penny and a quarter are tossed once. If this experiment is repeated 1000 times, what is the expected number of times that the results show tails for both coins? • If A is the event of getting both tails, we can write A = {(T, T)} • We can also write P(A)=

  5. Suppose that B is the event of getting one tail and one head. • Then B = {(H, T), (T, H)} and P(B) =

  6. A nickel, a quarter, and a silver dollar are tossed once. If C represents the event of getting exactly one tail and two heads, write C as a set of elements. • C = {(T, H, H), (H, T, H), (H, H, T)}.

  7. Suppose the experiment from the previous slide is repeated 736 times. What is the expected number of times that the results show exactly one tail and two heads? • P(C) = , then we can expect to get exactly one tail and two heads is

  8. An ordinary die is rolled once. Event D is defined as the set of outcomes in which a prime number is shown. What is the value of P(D)? Suppose this experiment is repeated 246 times. • D= {2, 3, 5} • P(D) =

  9. In drawing two cards from a deck of cards, one card at a time, with the replacement of the first card prior to drawing the second card. Let F represent the event of drawing 2 red jacks. What is the value of P(F)? • F = {(JD, JD), (JD, JH), (JH, JH), (JH, JD)} • So P(F) = Suppose this experiment is repeated 5408 times.

  10. Empirical/Experimental Probability • Assumes that the outcomes are not equally likely; rather, their associated probabilities are calculated based on observations or historical data.

  11. A particular die is “weighted”, which means that it tends to land on 4, 5, or 6 more often than it does on 1, 2, or 3. In rolling this die 1800 times, the results of the frequency of each outcome are as follows: Based on this chart, what is the probability that in rolling this die, it will land on a 3 or a 4?

  12. This “weighted” dime is tossed 3 times, and the experiment is repeated 4000 times. Here are the results: Based on this chart, what is the probability that when this dime is tossed three time, the result will be exactly two tails?

  13. Math Flash!!! • When computing a probability value involving coins or dice, use the classical probability approach, unless you are given a chart of observed frequencies from which the probability is to be calculated.

  14. Theoretical or Experimental • Maria flipped a coin and got 6 heads out of 10 flips. • Carlos said the chances of rain today are 30%. • James said he has a 70% chance of making a free throw because yesterday he made 7 out of 10. • 6 students out of 18 students in one classroom caught a cold, so the nurse said about 33% of the students in school would catch the same cold. • Julia placed an eraser under one of four cups and told Patrick he had a 25% chance of finding the correct cup.

More Related