Problem 40

Question

A jar contains 4 red marbles, 3 green marbles, and 2 blue marbles. If a marble is drawn at random, what is the probability that it is not green? F. \(\frac{2}{9}\) G. \(\frac{1}{3}\) H. \(\frac{4}{9}\) J. \(\frac{2}{3}\)

Step-by-Step Solution

Verified
Answer
The probability of drawing a non-green marble is \(\frac{2}{3}\).
1Step 1: Calculate Total Number of Marbles
First, determine how many marbles are in the jar altogether. Add the number of red, green, and blue marbles together: \(4 + 3 + 2 = 9\) marbles in total.
2Step 2: Calculate Number of Non-Green Marbles
Next, find out how many marbles are not green. There are 4 red marbles and 2 blue marbles, so there are \(4 + 2 = 6\) non-green marbles.
3Step 3: Calculate Probability of Not Green Marble
To find the probability of drawing a non-green marble, divide the number of non-green marbles by the total number of marbles: \(\frac{6}{9}\). Simplify this fraction to \(\frac{2}{3}\).

Key Concepts

Understanding Random SelectionExploring CombinatoricsSimplifying FractionsRole in Mathematics Education
Understanding Random Selection
Random selection is a fundamental concept in probability and statistics. It refers to the process of choosing items deliberately without any kind of bias or pattern. In this exercise, random selection means drawing one marble from a jar without looking or influencing the choice in any way.
  • Each marble has an equal chance of being chosen.
  • This ensures a fair representation of all possible outcomes.
The element of randomness is key when determining probabilities, as it aligns with the notion of equal likelihood. This is why when calculating probabilities, like in this problem, we rely on counting and comparing favorable outcomes to the total possibilities.
Exploring Combinatorics
Combinatorics is a branch of mathematics that deals with counting and arranging objects. In probability, combinatorics helps us determine how many ways we can achieve certain outcomes. For example, in our marble exercise, combinatorics was used to find the total number of marbles and then the number of non-green marbles.
  • Total combinations are calculated first by simple addition, like counting total marbles: 4 red + 3 green + 2 blue = 9.
  • By counting subsets, such as just the non-green marbles (4 red + 2 blue = 6), we focus on the favorable outcomes.
This allows us to see the favorable outcomes and understand how likely they are. This principle applies not only when counting objects but also in arranging and selecting them in various scenarios.
Simplifying Fractions
Fraction simplification is a crucial skill in mathematics education, especially in probability problems. Simplifying a fraction means reducing it to its lowest terms, making it easier to interpret and use.
  • Fractions are simplified by finding the greatest common divisor (GCD) of the numerator and the denominator.
  • Divide both the top and bottom of the fraction by this GCD to simplify.
In our example, we started with the fraction \( \frac{6}{9} \). The GCD of 6 and 9 is 3. By dividing both the numerator and the denominator by 3, we simplify \( \frac{6}{9} \) to \( \frac{2}{3} \). This not only reveals the simplest form of the probability but also simplifies calculations for further mathematical operations.
Role in Mathematics Education
Understanding the principles of random selection, combinatorics, and fraction simplification is essential in mathematics education. It equips students with the tools needed to tackle complex problems and build a strong foundation in mathematical reasoning.
  • Random selection fosters an understanding of fairness and independence in probability.
  • Combinatorics develops quantitative reasoning skills by exploring arrangements and combinations.
  • Simplifying fractions enhances problem-solving efficiency and accuracy.
Moreover, these concepts are not isolated but interrelated. Effective learning in mathematics integrates these ideas, providing a holistic understanding. It encourages students to think critically and creatively to solve problems, preparing them for real-world applications.