To answer the questions, we will work systematically through the experimental and theoretical probabilities associated with the spinner.
A. Experimental Probabilities
Data from Trials:
Let's assume the recorded outcomes for each trial of 10 spins per trial are:
- Trial 1: A: 3, B: 4, C: 3
- Trial 2: A: 5, B: 2, C: 3
- Trial 3: A: 2, B: 5, C: 3
Total Counts: Now, we will sum the counts of spins for each letter across the three trials:
- Total for A: 3 + 5 + 2 = 10
- Total for B: 4 + 2 + 5 = 11
- Total for C: 3 + 3 + 3 = 9
Total Spins: Total number of spins = 10 spins/trial × 3 trials = 30 spins
Calculating Experimental Probabilities:
- Probability of A (P(A)) = (Total A spins) / (Total spins) = 10 / 30 = 1/3 ≈ 0.33
- Probability of B (P(B)) = (Total B spins) / (Total spins) = 11 / 30 ≈ 0.367
- Probability of C (P(C)) = (Total C spins) / (Total spins) = 9 / 30 = 3/10 = 0.30
B. Theoretical Probabilities
For a spinner divided into three equal regions:
- Each section (A, B, C) has an equal chance of landing on because the regions are equal in size. Therefore, the theoretical probability for each outcome is:
- P(A) = 1/3
- P(B) = 1/3
- P(C) = 1/3
C. Comparison of Experimental and Theoretical Probabilities:
Experimental Probabilities:
- P(A) ≈ 0.33
- P(B) ≈ 0.367
- P(C) ≈ 0.30
Theoretical Probabilities:
- P(A) = 0.33
- P(B) = 0.33
- P(C) = 0.33
Agreement: The experimental probabilities do not exactly match the theoretical probabilities. A reason for this discrepancy could be due to:
- Sample Size: The small sample size (only 30 spins) can lead to variation in outcomes and does not perfectly represent the ideal theoretical probabilities.
- Random Variability: Each trial's outcome is subject to randomness, meaning that actual results will likely vary from expected results, especially when the sample size is small.
- Systematic Bias: If there were any issues with the spinner (e.g., not spinning evenly), that could cause an unequal distribution of outcomes.
In summary, while the experimental probabilities derived from the trials are close to the theoretical probabilities, they do not agree exactly due to the limitations of sampling and random variation inherent in probability experiments. As the number of spins increases, the experimental probabilities are expected to converge closer to their theoretical values.