The term "sensitive" information or 'data' is self-explanatory. Insufficient information is given with which to answer the question more completely.
usually Material Safety Data Sheet
The mean and median of a data set can differ due to the presence of outliers or skewed data. The mean is sensitive to extreme values, which can pull it in one direction, while the median, being the middle value, remains unaffected by such extremes. In a skewed distribution, the mean may be pulled toward the tail, resulting in a disparity between the two measures of central tendency. Thus, when data is not symmetrically distributed, the mean and median can yield different results.
Both the median and mean are measures of central tendency used to summarize a set of data points. They provide a sense of the "average" value of a dataset, helping to identify where most data points are concentrated. However, while the mean is calculated by summing all values and dividing by the number of values, the median represents the middle value when the data is sorted, making it less sensitive to outliers. Despite these differences, both are valuable for understanding data distribution.
mean does not mean the center of the data
what do you mean by data assembly?
Data that is significant to a project in hand .
usually Material Safety Data Sheet
Computer File is the data grouped into one unit under one name using the particular software. Data is the digitalized information.
CAS is the acronym for the well known Chemical Abstract Service.
It might mean "not applicable," but if so it is a very poorly written MSDS. Abbreviations and contractions should be explained or not used.
A SHEET of paper.
In data analysis, the mean refers to the average value of a dataset, calculated by summing all the individual data points and then dividing by the total number of points. It serves as a central measure that provides insight into the overall trend of the data. The mean is sensitive to extreme values (outliers), which can skew the result, making it important to consider the context and distribution of the data when interpreting it.
The mean and median of a data set can differ due to the presence of outliers or skewed data. The mean is sensitive to extreme values, which can pull it in one direction, while the median, being the middle value, remains unaffected by such extremes. In a skewed distribution, the mean may be pulled toward the tail, resulting in a disparity between the two measures of central tendency. Thus, when data is not symmetrically distributed, the mean and median can yield different results.
The mean provides a simple and effective measure of central tendency, summarizing a data set with a single value that represents its average. It is particularly useful in normally distributed data, where it reflects the data's center accurately. Additionally, the mean is sensitive to all values in the dataset, allowing it to incorporate every data point, which can highlight overall trends. However, it can be affected by outliers, so it's important to consider the context when interpreting it.
sensitive
Sensitive to light
bed sheet