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AP Stats BW 10/1

Identify the sampling technique used and discuss potential sources of bias (if any). Explain. For quality assurance, every fortieth toothbrush is taken from each of 4 assembly lines and tested to make sure the bristles stay in the toothbrush.

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AP Stats BW 10/1

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  1. Identify the sampling technique used and discuss potential sources of bias (if any). Explain. For quality assurance, every fortieth toothbrush is taken from each of 4 assembly lines and tested to make sure the bristles stay in the toothbrush. AP Stats BW 10/1

  2. Calculate Classical and Empirical probabilities. Section 3.1 – Probability & Counting SWBAT: Source: www3.nd.edu Source: www.wiikipedia.com

  3. Probabilities are calculated for EVERYTHING!

  4. Probability Experiment: an action, or trial, through which specific results (counts, measurements, responses) are obtained. Outcome: result of a single trial in a probability experiment. Samle Space: set of all possible outcomes of a probability experiment. Event: subset of the sample space (consisting of 1 or more outcomes). EX: Probability experiment: Roll a six-sided die Sample space: {1, 2, 3, 4, 5, 6} Event: Roll and even number, {2, 4, 6} Outcome: Roll a 2, {2} Probability Basics - Vocabulary

  5. Range of Probabilities Rule: 0 < P(E) < 1 Probability Basics, cont’d Source: www.mathisfun.com

  6. In Last night’s homework you found the following for Try It #1: Results to response asking Agree, Disagree, or No Opinion AND the gender of the respondent Tree DiagramWay to list outcomes for actions occurring in a sequence 6 outcomes A = {AM, AF, DM, DF, NM, NF}

  7. Used to find the number of ways two or more events can occur in sequence. The Fundamental Counting Principle If one event can occur in m ways and a second event can occur in n ways, the number of ways the two events can occur in sequence is m • n Multiply the number of ways one event can occur by the number of ways the other event(s) can occur

  8. Ex1: Select one manufacturer, one car size and one color. Find the number of possible outcomes given: FCP cont’d Manufacturer: Ford, GM, Honda, Toyota Car size: compact, mid, full Color: white, red, black, green, tan, grey 4 • 3 • 5 = 60 outcomes Ex2: The access code for a car’s security system consists of four digits (0-9). Find the number of possible outcomes if: Each digit can be used only once and not repeated? Each digit can be repeated? Each digit can be repeated but the first digit cannot be 0 or 1? • 10 • 9 • 8 • 7 = 5040 outcomes • 10 • 10 • 10 • 10 = 10,000 outcomes • 8 • 10 • 10 • 10 = 8000 outcomes

  9. Your college identification number consists of 8 digits. Each digit can be 0 through 9 and each digit can be repeated. What is the probability of getting your college identification number when randomly generating eight digits? Your college identification number consists of 9 digits. The first two digits of each number will be the last two digits of the year you graduate. The other digits can be 0 through 9 and each digit can be repeated. What is the probability of getting your college identification number when randomly generating the other seven digits? You try….. Answers: 108 = 100,000,000 possible ID #s. SO… 1/100,000,000 is the probability of generating 8 digits and getting your specific ID #. 1/10,000,000

  10. There are THREE types of probability. • Classical (or theoretical) probability • Empirical (or statistical) probability • Subjective probability • Result from intuition, educated guesses and estimates Types of Probability

  11. -when each outcome in a sample space is equally likely to occur. Classical (or theoretical) probability EX: Rolling a six-sided die. Find the probability of each event: Event A: rolling a 3 Event B: rolling a 7 Event C: rolling a number less than 5 Sample space: {1, 2, 3, 4, 5, 6} Outcome: A = {3} so P(rolling a 3) = 1/6 ≈ 0.167 Outcome: none P(rolling 7) = 0 Outcomes: C = {1, 2, 3, 4} P(rolling <5) = 4/6 = 2/3 ≈ 0.667 Round off rule: 3 places

  12. You select a card from a standard deck. Find the following for each: Identify the total number of outcomesin the sample space. Find the number of outcomes in the event. Use the classical probability formula to find the probability of the event. Event D: Selecting a seven of diamonds Event E: Selecting a diamond Event F: Selecting a diamond, heart, club or spade You try….. (a) 52 (b) 1 (c) 0.019 (a) 52 (b) 13 (c) 52 (a) 52 (b) 52 (c) 1

  13. -When an experiment is repeated many times, regular patterns are formed -can be used even if each outcome is not equally likely Law of Large Numbers: As an experiment is repeated over and over, the empirical probability of an event approaches the theoretical (actual) probability of the event. Ex: Tossing a coin Empirical (or statistical) probability

  14. A company is conducting an online survey of randomly selected individuals to determine if traffic congestion is a problem in their community. What is the probability that the next person that responds to the survey says that traffic congestion is a serious problem? Finding Empirical Probabilities

  15. You survey a sample of 1000 employees at a compnay and record the age of each. If you randomly select another employee, what is the probability that the employee will be between 25 and 34? Finding Empirical Probabilities, cont’d

  16. 1) An insurance company determines that in every 100 claims, 4 are fraudulent. What is the probability that the next claim the company processes will be fraudulent? Identify the event. Find the frequency of the event. Find the total frequency for the experiment. Find the relative frequency of the event. You Try…. Answers: The event is “the next claim is fraudulent”. The frequency is 4. 100 0.04

  17. The probability that you will be married by age 30 is 0.5. • Subjective probability (most likely based on educated guess) • 2. The probability that a voter chosen at random will vote Republican is 0.45. • - Empirical probability (most likely based on a survey of voters) • The probability of winning a 1000-ticket raffle with one ticket is 1/1000. • - Theoretical probability (we know the number of outcomes and each is equally likely) Classifying Types of Probability

  18. The set of all outcomes in a sample space that are NOT included in event E. (E prime – E’) P(E) + P(E’) = 1 P(E) = 1 – P(E’) P(E’) = 1 – P(E) EX: Roll a die and let E be the event “at least a 5”. Then E’ is the event “less than 5” E = {5, 6} E’ = {1, 2, 3, 4} EX: From our age distribution table. The probability an employee is NOT between 25 and 34: P(age 25 to 34) = 0.366 so P(age not 25 to 34) = 1 - 0.366 = 0.634 Complement of Event E

  19. P 143. 1 – 33 odd HOMEWORK:

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