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huraikan berpandukan jadual taburan kekerapan bilangan kereta yang mengalami kemalangan dalam sebuah bandar besar untuk tempoh 30 hari.

The table you've provided appears to be a frequency distribution table showing the number of cars involved in accidents in a large city over a 30-day period. Here's a breakdown of the table:

1. **Selang Kelas (Class Interval)**: The range of values, likely representing the number of accidents.
2. **Sempadan Kelas (Class Boundaries)**: These are the precise boundaries between each class interval.
3. **Titik Tengah (Midpoint)**: The midpoint of each class interval.
4. **Kekerapan (Frequency)**: The number of occurrences (days) that fall within each class interval.

### Interpretation:

- The table categorizes the number of accidents that occurred into different intervals.
- For example, in the interval **(51, 55)**, the frequency is **7**. This means that there were 7 days during the 30-day period when the number of accidents was between 51 and 55.
- Similarly, for the interval **(56, 60)**, the frequency is also **7**, meaning that there were 7 days where the accidents ranged between 56 and 60.
- The highest frequency occurs in the intervals **(51, 55)** and **(56, 60)**, both with 7 occurrences, indicating these ranges were the most common.
- The midpoint values are useful for calculating the mean number of accidents or for further statistical analysis.

### Overall Summary:
- The distribution shows that most of the days had between 51 and 60 accidents.
- The number of accidents on most days falls in the lower half of the provided intervals (51 to 65), which indicates that the majority of the accident days involved fewer cars.

Would you like further statistical analysis, such as calculating the mean, variance, or any other details? 

Here are some related questions:
1. How can you calculate the mean number of accidents from this data?
2. What is the median number of accidents, and how would you determine it from the table?
3. How would you calculate the standard deviation of the number of accidents?
4. Can you interpret what the mode of this distribution is?
5. How can you use this table to estimate the probability of a specific range of accidents occurring?

**Tip:** When interpreting frequency distribution tables, visualizing the data through a histogram or bar chart can help to better understand the distribution pattern.

Explore a detailed analysis of a frequency distribution table showing the number of cars involved in accidents over a 30-day period in a large city. Understand the intervals, frequencies, and statistical implications. Learn how to interpret and analyze such data effectively.

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