- Calculate the total number of marbles: \(4 + 3 + 3 = 10\).
- Determine the individual probabilities: \(P(\text{Red}) = \frac{4}{10}\), \(P(\text{Yellow}) = \frac{3}{10}\), \(P(\text{Purple}) = \frac{3}{10}\).
- Validate the statements based on these calculations:
- The probability you select a purple marble is \(\frac{3}{10}\) (\(\boxed{\text{True}}\)).
- \(P(\text{Red}) + P(\text{Yellow}) + P(\text{Purple}) = 1\) (\(\boxed{\text{True}}\)).
- The probability you select a green marble is \(0\) (\(\boxed{\text{True}}\)).
Explanation
- Analyze the bag composition and calculate individual probabilities
We start by analyzing the composition of the bag. The bag contains:
- 4 red marbles
- 3 yellow marbles
- 3 purple marbles
The total number of marbles in the bag is \(4 + 3 + 3 = 10\). The probability of selecting a marble of a specific color is determined by the ratio of the number of marbles of that color to the total number of marbles. Therefore, we calculate the individual probabilities as follows:
- Probability of Red (\(P(\text{Red})\)) = \(\frac{4}{10}\)
- Probability of Yellow (\(P(\text{Yellow})\)) = \(\frac{3}{10}\)
- Probability of Purple (\(P(\text{Purple})\)) = \(\frac{3}{10}\)
- Evaluate the truth value of each statement
Now we evaluate each of the given statements:
- "The probability you select a red marble is \(\frac{3}{10}\)": Since \(P(\text{Red}) = \frac{4}{10}\), this statement is False.
- "The probability you select a purple marble is \(\frac{3}{10}\)": Since \(P(\text{Purple}) = \frac{3}{10}\), this statement is True.
- "\(P(\text{Red}) + P(\text{Yellow}) + P(\text{Purple}) = 1\)": The sum is \(\frac{4}{10} + \frac{3}{10} + \frac{3}{10} = \frac{10}{10} = 1\), so this statement is True.
- "The probability you select a green marble is \(0\)": Since there are no green marbles in the bag, the probability is indeed \(0\). This statement is True.
- "The probability you select a yellow marble is \(3\)": Probabilities must be between \(0\) and \(1\). The probability is \(\frac{3}{10}\), not \(3\), so this statement is False.
Examples
This type of probability problem is foundational for understanding how to calculate likelihoods in real-world scenarios. For example, if you are managing a quality control process where a bin contains different types of items, calculating these simple probabilities helps you predict how likely it is to pull a specific type of item at random, ensuring you understand the distribution of your inventory.