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Here is a summary of the findings based on the provided dataset and analysis requirements:

1. **Frequency Distribution Table**: I generated a frequency distribution table with a class interval of 5 and relative frequencies. You can review this table for the distribution of daily supplement requirements among patients.

2. **Approximate Median and Mode**:
   - **Median**: The median of the dataset is approximately 36.
   - **Mode**: From the histogram, the most frequent class interval (mode) is between 35 and 39, suggesting this range as the approximate mode.

3. **Coefficient of Skewness and Kurtosis**:
   - **Skewness**: The skewness of the data is approximately 0.68, indicating a moderate positive skew. This implies that the distribution has a slight tail to the right.
   - **Kurtosis**: The kurtosis is approximately 0.09, indicating a distribution close to normal, with no extreme tails.

These insights provide a comprehensive view of the data's central tendency and shape.

Do you have any questions, or would you like a deeper explanation of any part? Here are some further questions that might interest you:

1. How would the results differ with a different class interval, such as 10?
2. What does a positive skewness tell us about the patients' daily requirements?
3. How could we calculate the exact mode using grouped data?
4. What effect does kurtosis close to zero have on the interpretation of the data?
5. How would these calculations change if additional patients were added with higher requirements?

**Tip**: Skewness and kurtosis values close to zero indicate a distribution that is approximately normal, which often simplifies further statistical analysis.

A dietician collected the following mean daily requirement of food supplement from 30 patients.

Data: 20, 48, 23, 27, 26, 32, 49, 36, 40, 25, 29, 21, 54, 47, 65, 37, 25, 38, 25, 38, 36, 30, 45, 32, 50, 37, 42, 35, 25, 36.

Required:

1. Using exclusive method of classification and a class range of 5, generate a frequency distribution table including relative frequencies.
2. Approximate mode and median using suitable graphs.
3. Compute and interpret coefficient of skewness and coefficient of kurtosis.

Solve a statistics problem involving the daily supplement needs of 30 patients. This analysis covers creating a frequency distribution table with relative frequencies, determining the mode and median using graphs, and computing skewness and kurtosis to understand data distribution.

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