Comprehensive Probability and Expected Value Study Guide

Conditional Probability and Card Selection Without Replacement

  • Problem Setup and Initial Conditions:

    • Deck composition: Standard playing deck containing 5252 total cards.
    • Initial draw: Sara draws the 44 of hearts from the deck without replacement.
    • Remaining deck status: 5151 cards remaining in the deck.
    • Output requirements: Answers expressed as simplified fractions.
  • Conditional Probability Calculations:

    • Probability of Drawing Another Four:
      • Favorable remaining outcomes: 33 remaining fours (4 of spades, 4 of diamonds, 4 of clubs).
      • Total remaining outcomes: 5151 cards.
      • Formula and calculation:             P(4∣4 of hearts)=351=117P(4 \mid 4 \text{ of hearts}) = \frac{3}{51} = \frac{1}{17}
    • Probability of Drawing Another Heart:
      • Favorable remaining outcomes: 1212 remaining hearts.
      • Total remaining outcomes: 5151 cards.
      • Formula and calculation:             P(heart∣4 of hearts)=1251=417P(\text{heart} \mid 4 \text{ of hearts}) = \frac{12}{51} = \frac{4}{17}
    • Probability of Drawing a Club:
      • Favorable remaining outcomes: 1313 clubs.
      • Total remaining outcomes: 5151 cards.
      • Formula and calculation:             P(club∣4 of hearts)=1351P(\text{club} \mid 4 \text{ of hearts}) = \frac{13}{51}
    • Probability of Drawing a Three:
      • Favorable remaining outcomes: 44 threes.
      • Total remaining outcomes: 5151 cards.
      • Formula and calculation:             P(3∣4 of hearts)=451P(3 \mid 4 \text{ of hearts}) = \frac{4}{51}
  • Assessment Performance Data:

    • Question score: 10/1010/10

Independent vs. Dependent Events in Card Sampling

  • Sampling Without Replacement (Lacy's Experiment):

    • Procedure: Lacy draws a diamond from a standard deck of 5252 cards. Without replacing the first card, she draws a second card and gets a spade.
    • Event Independence:
      • Are these events independent? No.
      • Reasoning: Drawing without replacement alters the deck composition for the second draw (reducing total cards to 5151), meaning the outcome of the first draw directly changes the probability of the second draw.
    • Joint Probability Calculation:
      • Probability of drawing a diamond first:             P(Diamond1)=1352=14P(\text{Diamond}_1) = \frac{13}{52} = \frac{1}{4}
      • Probability of drawing a spade second given a diamond was drawn first:             P(Spade2∣Diamond1)=1351P(\text{Spade}_2 \mid \text{Diamond}_1) = \frac{13}{51}
      • Joint probability:             P(Diamond1 and Spade2)=1352×1351=13204≈0.063725P(\text{Diamond}_1 \text{ and } \text{Spade}_2) = \frac{13}{52} \times \frac{13}{51} = \frac{13}{204} \approx 0.063725
      • Rounded decimal answer (to 4 decimal places): 0.06370.0637
  • Sampling With Replacement (Linda's Experiment):

    • Procedure: Linda draws a diamond from a standard deck of 5252 cards. She returns the diamond to the deck, then draws a second card, which is a spade.
    • Event Independence:
      • Are these events independent? Yes.
      • Reasoning: Replacing the first card restores the deck to its original state (5252 cards), so the outcome of the first draw has no effect on the probability of the second draw.
    • Joint Probability Calculation:
      • Probability of drawing a diamond first:             P(Diamond1)=1352=14P(\text{Diamond}_1) = \frac{13}{52} = \frac{1}{4}
      • Probability of drawing a spade second:             P(Spade2)=1352=14P(\text{Spade}_2) = \frac{13}{52} = \frac{1}{4}
      • Joint probability:             P(Diamond1 and Spade2)=14×14=116=0.0625P(\text{Diamond}_1 \text{ and } \text{Spade}_2) = \frac{1}{4} \times \frac{1}{4} = \frac{1}{16} = 0.0625
      • Exact decimal answer: 0.06250.0625
  • Assessment Performance Data:

    • Question score: 10/1010/10 (Sub-scores: 2.5/2.52.5/2.5, 2.5/2.52.5/2.5, 2.5/2.52.5/2.5, 2.5/2.52.5/2.5)
    • Time spent: 3.5 minutes3.5\,\text{minutes}
    • Available help: Video

Expected Value Calculations in Extended Warranties

  • Financial and Failure Probability Parameters:

    • Product failure rate: 0.8%0.8\% (0.0080.008) after the original warranty period but within 2 years2\,\text{years} of purchase.
    • Replacement cost incurred by company upon failure: $400.00\$400.00
    • Extended warranty price charged to customer: $10.00\$10.00 for a 2 year2\,\text{year} term.
  • Expected Value Determination:

    • Calculation Breakdown:
      • Expected payout per policy sold:             Expected Payout=0.008×$400.00=$3.20\text{Expected Payout} = 0.008 \times \$400.00 = \$3.20
      • Expected net value to company per policy sold:             Expected Value=Warranty Price−Expected Payout\text{Expected Value} = \text{Warranty Price} - \text{Expected Payout}Expected Value=$10.00−$3.20=$6.80\text{Expected Value} = \$10.00 - \$3.20 = \$6.80
    • Result:
      • The company's expected value for each warranty sold is $6.80\$6.80
  • Assessment Performance Data:

    • Question score: 10/1010/10
    • Time spent: 0.5 minutes0.5\,\text{minutes}
    • Available help: Video Video

Two-Way Contingency Tables and Compound Probabilities

  • Dinner Party Guest Preferences Matrix:

    • Inside Seating & Steak Preference: 1717 guests
    • Inside Seating & Lobster Preference: 1818 guests
    • Total Inside Seating Requests: 3535 guests
    • Outside Seating & Steak Preference: 2222 guests
    • Outside Seating & Lobster Preference: 1919 guests
    • Total Outside Seating Requests: 4141 guests
    • Total Steak Dinner Preferences: 3939 guests
    • Total Lobster Dinner Preferences: 3737 guests
    • Total Guest Count: 7676 guests
  • Probability Calculations:

    • a. Marginal Probability of Requesting Inside Seating:
      • Calculation:             P(Inside)=3576≈0.460526P(\text{Inside}) = \frac{35}{76} \approx 0.460526
      • Rounded value (to 4 decimal places): 0.46050.4605
      • Answer label recorded: P(outside)=0.4605P(\text{outside}) = 0.4605
    • b. Joint Probability of Ordering Lobster AND Requesting Inside Seating:
      • Calculation:             P(lobster and inside)=1876≈0.236842P(\text{lobster and inside}) = \frac{18}{76} \approx 0.236842
      • Rounded value (to 4 decimal places): 0.23680.2368
    • c. Union Probability of Ordering Lobster OR Requesting Inside Seating:
      • Calculation using Inclusion-Exclusion Principle:             P(lobster or inside)=P(lobster)+P(inside)−P(lobster and inside)P(\text{lobster or inside}) = P(\text{lobster}) + P(\text{inside}) - P(\text{lobster and inside})P(lobster or inside)=3776+3576−1876=5476≈0.710526P(\text{lobster or inside}) = \frac{37}{76} + \frac{35}{76} - \frac{18}{76} = \frac{54}{76} \approx 0.710526
      • Rounded value (to 4 decimal places): 0.71050.7105
    • d. Conditional Probability of Ordering Lobster GIVEN Inside Seating:
      • Calculation:             P(lobster∣inside)=1835≈0.514285P(\text{lobster} \mid \text{inside}) = \frac{18}{35} \approx 0.514285
      • Rounded value (to 4 decimal places): 0.51430.5143
  • Assessment Performance Data:

    • Question score: 10/1010/10

Multi-Step Sampling and Marble Selection Without Replacement

  • Jar Contents and Sampling Conditions:

    • Red marbles: 1919
    • Blue marbles: 1414
    • Total marble count: 19+14=3319 + 14 = 33
    • Sampling condition: Reaching into the jar and drawing 22 marbles at random without replacement.
  • Probability Determination:

    • Calculation Breakdown:
      • Probability that first marble is red:             P(Red1)=1933P(\text{Red}_1) = \frac{19}{33}
      • Probability that second marble is red given first was red:             P(Red2∣Red1)=1832P(\text{Red}_2 \mid \text{Red}_1) = \frac{18}{32}
      • Joint probability that both marbles are red:             P(Both Red)=1933×1832=3421056≈0.3238636P(\text{Both Red}) = \frac{19}{33} \times \frac{18}{32} = \frac{342}{1056} \approx 0.3238636
    • Rounded Answer:
      • Decimal value rounded to the nearest thousandth: 0.3240.324
  • Assessment Performance Data:

    • Question score: 10/1010/10
    • Time spent: 0.9 minutes0.9\,\text{minutes}
    • Available help: Video

Simple Events and Multi-Sided Die Probabilities

  • Die Parameters and Sample Space:

    • Type of die: Special 4141-sided die.
    • Total equally likely outcomes: 4141
    • Target event: Rolling a "1" OR a "2".
  • Probability Determination:

    • Calculation Breakdown:
      • Favorable outcome count: 22 (outcomes "1" and "2").
      • Formula:             P(1 or 2)=241≈0.048780P(1 \text{ or } 2) = \frac{2}{41} \approx 0.048780
    • Rounded Answer:
      • Decimal value rounded to the nearest hundredth: 0.050.05
  • Assessment Performance Data:

    • Question score: 10/1010/10
    • Time spent: 0.3 minutes0.3\,\text{minutes}