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The calculation of mean and variance is based on________.
  • a)
    Small values only
  • b)
    Large values only
  • c)
    Extreme values only
  • d)
    All values
Correct answer is option 'D'. Can you explain this answer?
Most Upvoted Answer
The calculation of mean and variance is based on________.a)Small value...
Both the mean and variance are statistical measures that provide insights into different aspects of a dataset.
The mean, also known as the arithmetic mean or average, is calculated by summing all the values in the dataset and dividing by the total number of values. It represents the central tendency or average value of the dataset. To obtain an accurate mean, all values in the dataset are considered and included in the calculation.
The variance is a measure of the dispersion or spread of the dataset. It quantifies the average squared deviation from the mean. To calculate the variance, each value in the dataset is subtracted from the mean, squared, and then summed. Again, all values in the dataset are taken into account in the variance calculation.
Both the mean and variance require consideration of all values in the dataset to provide meaningful and accurate results. Excluding any values would lead to an incomplete representation of the data and could potentially introduce biases or inaccuracies in the calculations.
Therefore, the calculation of mean and variance is based on all values in the dataset. It is important to include all values to obtain reliable and comprehensive measures of central tendency and dispersion.
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The calculation of mean and variance is based on________.a)Small value...
Understanding Mean and Variance
Mean and variance are fundamental statistical measures that provide insights into a data set's central tendency and variability.
Mean Calculation
- The mean is calculated by summing all the values in a data set and dividing by the number of values.
- This process inherently includes every data point, no matter how small, large, or extreme, ensuring a comprehensive representation.
Variance Calculation
- Variance measures the dispersion of data points around the mean.
- It is computed by averaging the squared differences between each value and the mean.
- Again, every value contributes to this calculation, regardless of its magnitude.
Importance of All Values
- The inclusion of all values ensures that both typical and outlier observations influence the results.
- Small values can bring down the mean, while large values can pull it up, illustrating the significance of extremes.
Effect of Extreme Values
- While extreme values have a pronounced effect on mean and variance, they are not the sole focus.
- Ignoring any subset of data would provide a skewed understanding of the overall distribution and characteristics.
Conclusion
- The calculation of mean and variance relies on all values in the data set.
- This approach guarantees that the summary statistics accurately reflect the dataset's true nature, making option 'D' the correct choice.
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The calculation of mean and variance is based on________.a)Small values onlyb)Large values onlyc)Extreme values onlyd)All valuesCorrect answer is option 'D'. Can you explain this answer?
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