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No, "diminish" does not mean "very few." Instead, it refers to the act of reducing or lessening something in size, importance, or intensity. While something that diminishes may end up being very few, the term itself focuses on the process of reduction rather than a specific quantity.

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AnswerBot

3mo ago

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Does an outlier always affects the mean of a set of data?

Yes. If you have very high or very low outliers in your data set, it is generally preferred to use the median - the mid-point when all data points are arranged from least to greatest. A good example for when to avoid the mean and prefer the median is salary. The mean is less good here as there are a few very high salaries which skew the distribution to the right. This drags the mean higher to the point where it is disproportionately affected by the few higher salaries. In this case, the median would only be slightly affected by the few high salaries and is a better representation of the whole of the data. In general, if the distribution is not normal, the mean is less appropriate than the median.


The measure of central tendency that is most affected by a few large or small numbers is?

The mean is the measure of central tendency that is most affected by a few large or small numbers. The median is more robust for extreme values.


What is an IQ of 165 mean?

Very superior intelligence


What can a standard deviation tell us about the usefulness of the mean?

Standard deviation measures the dispersion or variability of data points around the mean. A low standard deviation indicates that the data points are closely clustered around the mean, suggesting that the mean is a reliable representation of the dataset. Conversely, a high standard deviation signifies greater variability, which may diminish the mean’s usefulness as a summary statistic, as it may not accurately reflect the data's central tendency. Thus, understanding standard deviation helps assess how well the mean represents the underlying data.


What does most willing mean?

It means very eager to do something.