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Week 2 Lecture
         GM 533
Applied Managerial Statistics
 Not to be posted or stolen, etc.
Week 2 GM 533 Lecture
• Third Graders at a local elementary school were
  asked their favorite ice cream of 3 choices.
• The table below summarized their choices.


               Ice Cream    Girls   Boys
               Chocolate       17      19
               Vanilla          5      7
               Strawberry       7      4
Week 2 GM 533 Lecture
• Before answering any questions, let’s get our
  totals.

        Ice Cream    Girls       Boys    Sum

        Chocolate        17         19     36

        Vanilla              5      7      12

        Strawberry           7      4      11

        Sum              29         30     59
Week 2 GM 533 Lecture
• What is the probability we randomly choose a
  girl?

 Ice Cream    Girls       Boys    Sum
                                         29 of the total 59 students are
 Chocolate        17         19     36   girls so the probability is
                                         29/59 or the decimal form (0.492)
 Vanilla              5      7      12

 Strawberry           7      4      11

 Sum              29         30     59
Week 2 GM 533 Lecture
• What is the probability the student is a girl
  given that the student prefers vanilla?

 Ice Cream    Girls       Boys    Sum
                                         It was “given that” the student
 Chocolate        17         19     36   prefers vanilla, so we are ONLY
                                         DEALING with the 12 students who
 Vanilla              5      7      12   prefer vanilla, so the probability is
                                         5/12 or the decimal form (0.417)
 Strawberry           7      4      11

 Sum              29         30     59
Week 2 GM 533 Lecture
• What is the probability the student prefers
  vanilla given the student is a girl?

 Ice Cream    Girls       Boys    Sum
                                         It was “given that” the student
 Chocolate        17         19     36   is a girl, so we are ONLY
                                         DEALING with the 29 students who
 Vanilla              5      7      12   Are girls, so the probability is
                                         5/29 or the decimal form (0.172)
 Strawberry           7      4      11   NOTE THE DIFFERENCE FROM THE
                                         PREVIOUS EXAMPLE
 Sum              29         30     59
Week 2 GM 533 Lecture
• Bob is playing two games with his family. In
  one game he has a 30% chance of winning, in
  the other, he has a 80% chance of winning.
  What is the probability Bob will lose both
  games?
Week 2 GM 533 Lecture
• He would have to lose the first game AND the
  second game. The probability of winning was
  given, thus we will use the complement as the
  probability of losing. Remember he has to lose
  both (so we multiply).

      (1 - 0.30)(1 - 0.80) = (0.7)(0.2) = 0.14
Week 2 GM 533 Lecture
• The probability that a component will work is
  95%. If we choose three of these components
  at random, what is the probability they will all
  work?
Week 2 GM 533 Lecture
• This would be

     (0.95)^3 or (0.95)(0.95)(0.95) = 0.857

• The probability that none will work would be

   (0.05)^3 or (0.05)(0.05)(0.05) = 0.000125
Week 2 GM 533 Lecture
• A new product is being manufactured and it
  has been determined the following probability
  distribution holds for its profitability.

           Profit     Probability of Scenario

         ($100,000)            0.25

          $50,000              0.55

         $250,000              0.20
Week 2 GM 533 Lecture
• The company asks your opinion on the overall
  profitability. Consider the - $100K as the cost
  to produce the new product.

 (-100000)(0.25) + (50,000)(0.55) + (250,000)(0.20) = $52,500

 It seems we will realize a profit of $52,000, we might need other
 parameters or guidance.
Week 2 GM 533 Lecture
• A staffing company estimates that 90% of
  their placements last at least 4 weeks.
  Looking at a random sample of 17 placements,
  calculate the mean number of placements
  that will stay at least 4 weeks.
Week 2 GM 533 Lecture
• A staffing company estimates that 90% of
  their placements last at least 4 weeks.
  Looking at a random sample of 17 placements,
  calculate the mean number of placements
  that will stay at least 4 weeks.

              np = 17(0.9) = 15.3
Week 2 GM 533 Lecture
• Your product works 98% of the time when it
  hits the market. If you randomly call 15 of
  your new customers, what is the probability
  that at least 13 of your new customers will
  have had a good first experience with your
  new product?
Week 2 GM 533 Lecture
• I took a binomial approach (it either worked
  or didn’t)
Week 2 GM 533 Lecture
• You can find the binomial template and other
  cool statistical templates at
http://highered.mcgraw-
  hill.com/sites/0070620164/student_view0/excel_
  templates.html

Just download the file to your computer and go to
  the “Review” tab at the top of Excel and select
  “Unprotect Sheet” (this allows you to use your
  own data, etc.)
Week 2 GM 533 Lecture
• Paula’s Pizza has a 90% chance of delivering
  their pizzas in under 37 minutes. Out of 11
  deliveries, what is the probability that fewer
  than 9 pizzas will be delivered within 37
  minutes?
Week 2 GM 533 Lecture
• Using Binomial Template


“Fewer than 9”
would be the
same as
“At most 8” so
the probability
would be
0.0896
Week 2 GM 533 Lecture
• A quiz has 20 multiple choice questions with
  four possible answers for each question. If
  only one of the answers is correct and a
  student guesses on all questions, what is the
  probability that the student will get at least
  half of the questions correct?
Week 2 GM 533 Lecture
• Use Binomial Template


At least half
would be at least
10 of the 20
questions.
The answer would
be 0.0139
Not too hot eh?
Week 2 GM 533 Lecture
• I will post a link to these charts on my Statcave
  site at http://www.facebook.com/statcave
• You DO NOT have to be a Facebook person to
  see this
• It is convenient for me to post there.

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Week 2 lecture gm 533

  • 1. Week 2 Lecture GM 533 Applied Managerial Statistics Not to be posted or stolen, etc.
  • 2. Week 2 GM 533 Lecture • Third Graders at a local elementary school were asked their favorite ice cream of 3 choices. • The table below summarized their choices. Ice Cream Girls Boys Chocolate 17 19 Vanilla 5 7 Strawberry 7 4
  • 3. Week 2 GM 533 Lecture • Before answering any questions, let’s get our totals. Ice Cream Girls Boys Sum Chocolate 17 19 36 Vanilla 5 7 12 Strawberry 7 4 11 Sum 29 30 59
  • 4. Week 2 GM 533 Lecture • What is the probability we randomly choose a girl? Ice Cream Girls Boys Sum 29 of the total 59 students are Chocolate 17 19 36 girls so the probability is 29/59 or the decimal form (0.492) Vanilla 5 7 12 Strawberry 7 4 11 Sum 29 30 59
  • 5. Week 2 GM 533 Lecture • What is the probability the student is a girl given that the student prefers vanilla? Ice Cream Girls Boys Sum It was “given that” the student Chocolate 17 19 36 prefers vanilla, so we are ONLY DEALING with the 12 students who Vanilla 5 7 12 prefer vanilla, so the probability is 5/12 or the decimal form (0.417) Strawberry 7 4 11 Sum 29 30 59
  • 6. Week 2 GM 533 Lecture • What is the probability the student prefers vanilla given the student is a girl? Ice Cream Girls Boys Sum It was “given that” the student Chocolate 17 19 36 is a girl, so we are ONLY DEALING with the 29 students who Vanilla 5 7 12 Are girls, so the probability is 5/29 or the decimal form (0.172) Strawberry 7 4 11 NOTE THE DIFFERENCE FROM THE PREVIOUS EXAMPLE Sum 29 30 59
  • 7. Week 2 GM 533 Lecture • Bob is playing two games with his family. In one game he has a 30% chance of winning, in the other, he has a 80% chance of winning. What is the probability Bob will lose both games?
  • 8. Week 2 GM 533 Lecture • He would have to lose the first game AND the second game. The probability of winning was given, thus we will use the complement as the probability of losing. Remember he has to lose both (so we multiply). (1 - 0.30)(1 - 0.80) = (0.7)(0.2) = 0.14
  • 9. Week 2 GM 533 Lecture • The probability that a component will work is 95%. If we choose three of these components at random, what is the probability they will all work?
  • 10. Week 2 GM 533 Lecture • This would be (0.95)^3 or (0.95)(0.95)(0.95) = 0.857 • The probability that none will work would be (0.05)^3 or (0.05)(0.05)(0.05) = 0.000125
  • 11. Week 2 GM 533 Lecture • A new product is being manufactured and it has been determined the following probability distribution holds for its profitability. Profit Probability of Scenario ($100,000) 0.25 $50,000 0.55 $250,000 0.20
  • 12. Week 2 GM 533 Lecture • The company asks your opinion on the overall profitability. Consider the - $100K as the cost to produce the new product. (-100000)(0.25) + (50,000)(0.55) + (250,000)(0.20) = $52,500 It seems we will realize a profit of $52,000, we might need other parameters or guidance.
  • 13. Week 2 GM 533 Lecture • A staffing company estimates that 90% of their placements last at least 4 weeks. Looking at a random sample of 17 placements, calculate the mean number of placements that will stay at least 4 weeks.
  • 14. Week 2 GM 533 Lecture • A staffing company estimates that 90% of their placements last at least 4 weeks. Looking at a random sample of 17 placements, calculate the mean number of placements that will stay at least 4 weeks. np = 17(0.9) = 15.3
  • 15. Week 2 GM 533 Lecture • Your product works 98% of the time when it hits the market. If you randomly call 15 of your new customers, what is the probability that at least 13 of your new customers will have had a good first experience with your new product?
  • 16. Week 2 GM 533 Lecture • I took a binomial approach (it either worked or didn’t)
  • 17. Week 2 GM 533 Lecture • You can find the binomial template and other cool statistical templates at http://highered.mcgraw- hill.com/sites/0070620164/student_view0/excel_ templates.html Just download the file to your computer and go to the “Review” tab at the top of Excel and select “Unprotect Sheet” (this allows you to use your own data, etc.)
  • 18. Week 2 GM 533 Lecture • Paula’s Pizza has a 90% chance of delivering their pizzas in under 37 minutes. Out of 11 deliveries, what is the probability that fewer than 9 pizzas will be delivered within 37 minutes?
  • 19. Week 2 GM 533 Lecture • Using Binomial Template “Fewer than 9” would be the same as “At most 8” so the probability would be 0.0896
  • 20. Week 2 GM 533 Lecture • A quiz has 20 multiple choice questions with four possible answers for each question. If only one of the answers is correct and a student guesses on all questions, what is the probability that the student will get at least half of the questions correct?
  • 21. Week 2 GM 533 Lecture • Use Binomial Template At least half would be at least 10 of the 20 questions. The answer would be 0.0139 Not too hot eh?
  • 22. Week 2 GM 533 Lecture • I will post a link to these charts on my Statcave site at http://www.facebook.com/statcave • You DO NOT have to be a Facebook person to see this • It is convenient for me to post there.