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the length of 40 leaves of a plant are measured correct to one milimeter, and the obtained data is represented in the following table
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the length of 40 leaves of a plant are measured correct to one milimet...
The given problem involves measuring the length of 40 leaves of a plant, with the measurements being accurate to one millimeter. The collected data is then represented in a table. To analyze this data statistically, we can use various measures like the mean, median, mode, and range.

Measures of Central Tendency:
- Mean: The mean is calculated by summing up all the measurements and dividing it by the total number of measurements. It represents the average length of the leaves.
- Median: The median is the middle value when the measurements are arranged in ascending or descending order. If there is an even number of measurements, the median is the average of the two middle values.
- Mode: The mode is the value that appears most frequently in the data set. It represents the most common length of the leaves.

Measures of Dispersion:
- Range: The range is the difference between the smallest and largest measurements in the data set. It gives an idea about the spread or variability of the leaf lengths.
- Variance: The variance measures how spread out the measurements are from the mean. It is calculated by finding the average of the squared differences between each measurement and the mean.
- Standard Deviation: The standard deviation is the square root of the variance. It gives a measure of how much the measurements deviate from the mean.

Interpretation of the Data:
By calculating the mean, median, mode, range, variance, and standard deviation of the leaf lengths, we can gain insights into the distribution of the data. For example:
- If the mean, median, and mode are close in value, it indicates that the data is approximately symmetrical.
- If the range is large, it suggests a wide variation in leaf lengths.
- If the standard deviation is small, it implies that the measurements are relatively close to the mean.

Conclusion:
Analyzing the data using statistical measures allows us to understand the central tendency and dispersion of the leaf lengths. This information can be useful in further study or analysis of the plant species.
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