Math Problem Statement

The query contains a set of four probability-related math problems: 1. Conditional probability based on a data table. 2. Probability of selecting at least one boy or girl in a scenario involving selecting four students. 3. Calculating probabilities involving independent selections of items (shorts and shirts). 4. Finding the probability of a specific player not being selected in an event scenario.

Solution

Here’s how we can solve each part of the problems provided in the image:


Problem 18:

Using the table provided:

(a) P(likes schoolstudent is female)=Females who like schoolTotal females=1014=0.714P(\text{likes school} \mid \text{student is female}) = \frac{\text{Females who like school}}{\text{Total females}} = \frac{10}{14} = 0.714.

(b) P(dislikes school OR student is male)P(\text{dislikes school OR student is male}):
We use the formula for union: P(AB)=P(A)+P(B)P(AB)P(A \cup B) = P(A) + P(B) - P(A \cap B) Where:

  • A=dislikes schoolA = \text{dislikes school}, P(A)=833P(A) = \frac{8}{33}
  • B=student is maleB = \text{student is male}, P(B)=1933P(B) = \frac{19}{33}
  • P(AB)=Males who dislike schoolTotal=533P(A \cap B) = \frac{\text{Males who dislike school}}{\text{Total}} = \frac{5}{33}

P(dislikes school OR student is male)=833+1933533=2233=0.667P(\text{dislikes school OR student is male}) = \frac{8}{33} + \frac{19}{33} - \frac{5}{33} = \frac{22}{33} = 0.667


Problem 19:

Tree Diagram & Probability of at least one boy or one girl:
We can solve this by finding the complement of the probability that all four selected students are boys.

  • Total: 1919 males, 1414 females.
  • Probability of selecting all boys: P(all boys)=1933183217311630P(\text{all boys}) = \frac{19}{33} \cdot \frac{18}{32} \cdot \frac{17}{31} \cdot \frac{16}{30}

Let’s compute it: P(all boys)=1918171633323130=0.159P(\text{all boys}) = \frac{19 \cdot 18 \cdot 17 \cdot 16}{33 \cdot 32 \cdot 31 \cdot 30} = 0.159

Probability of at least one boy or one girl: P(at least one boy or one girl)=1P(all boys)=10.159=0.841P(\text{at least one boy or one girl}) = 1 - P(\text{all boys}) = 1 - 0.159 = 0.841


Problem 20:

Probability of bad luck:
Joe has:

  • 5 shorts: 22 grey, 11 green, 22 blue.
  • 5 shirts: 22 green, 11 black, 22 blue.

Bad luck occurs if both the selected shirt and shorts are the same color:

  • Probability of grey: P(grey)=2525=425P(\text{grey}) = \frac{2}{5} \cdot \frac{2}{5} = \frac{4}{25}.
  • Probability of green: P(green)=1525=225P(\text{green}) = \frac{1}{5} \cdot \frac{2}{5} = \frac{2}{25}.
  • Probability of blue: P(blue)=2525=425P(\text{blue}) = \frac{2}{5} \cdot \frac{2}{5} = \frac{4}{25}.

Total probability: P(bad luck)=425+225+425=1025=0.4P(\text{bad luck}) = \frac{4}{25} + \frac{2}{25} + \frac{4}{25} = \frac{10}{25} = 0.4


Problem 21:

Probability of a striker NOT being selected for an interview:

  • Probability of being selected for an interview: 0.370.37.
  • Given that a player is selected:
    • Probability of being a striker: 0.550.55.

Probability of NOT being selected as a striker: P(NOT striker)=1P(striker)=10.55=0.45P(\text{NOT striker}) = 1 - P(\text{striker}) = 1 - 0.55 = 0.45

Total probability of a striker NOT being selected for an interview: P(striker NOT selected)=P(not interviewed)+P(interviewed AND not a striker)P(\text{striker NOT selected}) = P(\text{not interviewed}) + P(\text{interviewed AND not a striker})

Using: P(not interviewed)=10.37=0.63P(\text{not interviewed}) = 1 - 0.37 = 0.63

P(interviewed AND not a striker)=0.370.45=0.1665P(\text{interviewed AND not a striker}) = 0.37 \cdot 0.45 = 0.1665

P(striker NOT selected)=0.63+0.1665=0.7965P(\text{striker NOT selected}) = 0.63 + 0.1665 = 0.7965


Do you want detailed calculations for any part?


Expanded Questions:

  1. How would you use a tree diagram to visualize Problem 19?
  2. How can conditional probability principles simplify Problem 18(b)?
  3. Can you express Problem 20 using combinatorics instead of probability fractions?
  4. What assumptions do we make about independence in Problem 21?
  5. How does the union formula in probability simplify Problem 18(b)?

Tip:

Always start by breaking problems into smaller, independent parts—especially for conditional and joint probabilities!

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Math Problem Analysis

Mathematical Concepts

Conditional Probability
Union and Intersection of Events
Complement Rule
Tree Diagrams
Independence in Probability

Formulas

Conditional Probability: P(A|B) = P(A ∩ B) / P(B)
Union Formula: P(A ∪ B) = P(A) + P(B) - P(A ∩ B)
Complement Rule: P(A') = 1 - P(A)

Theorems

Conditional Probability Theorem
Addition Rule for Probabilities
Multiplication Rule for Independent Events

Suitable Grade Level

Grades 10-12