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Let's work through the questions based on the information provided:

### (a) Experimental Probability of Landing on Grey
Linda spun the spinner 25 times with the following results:
- White: 12
- Grey: 6
- Black: 7

To find the experimental probability of landing on grey:
\[ P(\text{Grey}) = \frac{\text{Number of Grey outcomes}}{\text{Total outcomes}} = \frac{6}{25} = 0.24 \]

### (b) Theoretical Probability of Landing on Grey
The spinner has 10 equally sized slices:
- From the image, it appears that there are 3 grey slices.

The theoretical probability \( P(\text{Grey}) \) is:
\[ P(\text{Grey}) = \frac{\text{Number of Grey Slices}}{\text{Total Slices}} = \frac{3}{10} = 0.3 \]

### (c) Statement About Experimental and Theoretical Probabilities
As the number of spins increases, the experimental probability tends to get closer to the theoretical probability, according to the law of large numbers. Therefore, the correct statement is:
- "As the number of spins increases, we expect the experimental and theoretical probabilities to become closer, though they might not be equal."

Would you like any further details or explanations on these calculations?

Here are some related questions you might find interesting:
1. How can experimental probability differ from theoretical probability?
2. What role does sample size play in the accuracy of experimental probability?
3. How do you calculate the probability of multiple independent events?
4. What is the importance of fair equipment in probability experiments?
5. How does randomness affect the outcomes of experiments?
6. How can theoretical probability be used to predict real-world outcomes?
7. What are some common misconceptions about probability?
8. How does bias in data collection affect experimental probability?

**Tip:** Always verify the fairness of the experiment setup to ensure accurate theoretical and experimental probability comparisons.

Explore the difference between experimental and theoretical probability with examples. Learn how to calculate probabilities using real-world scenarios and theoretical models. Suitable for Grades 7-9.

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