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The number that is not the smallest or the biggest in a set of numbers.

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Q: How is the median value of a data set used in healthcare?

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The median or mode should be used instead of the mean in distributions with extreme outliers. In such cases, the mean can be a misleading measure of central tendency and the median value or the mode value are typically more accurate measures.

mean can be used in business and industries for comparing purposes. mode as it gives us the value which occurs most often, it can be use to determine the shoe sizes especially in shoe manufacturing industries. median is used to determine the skewness of data

They are statistical measures that are used, when appropriate, to summarise the central tendency of a set of data. That is, given a number of observations, these measures can give an indication of the value near which they all are.

The median is the number in a series that has equal amounts on either side of it. E.g. the median of 15 is 8 because it has seven numbers either side of that value. The midpoint means the same as the median, but median is the most used terminology.

An outlier, in a set of data, is an observation whose value is distant from other observations. There is no exact definition but one commonly used definition is any value that lies outside of Median Â± 3*IQR IQR = Inter-Quartile Range.

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The median is used when reporting ordinal data.

The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.

The median or mode should be used instead of the mean in distributions with extreme outliers. In such cases, the mean can be a misleading measure of central tendency and the median value or the mode value are typically more accurate measures.

Can the median and mode be used to describe both categorical data and numerical data

Either can be used for symmetrical distributions. For skewed data, the median may be more a appropriate measure of the central tendency - the "average".

Median cannot be used for qualitative data (a mode can).The sampling distribution of the median is complicated (the mean is well studied).Median can usually be used for data that can be ordered without there being a ratio scale. For example, "small-medium-large", or "very negative-negative-neutral-positive-very positive". A mean cannot be calculated without arbitrarily assigning a numerical value to the terms.A median is not dependent on all the values which means that it is not distorted by outliers (extreme values).It is easy to find the median value from cumulative frequency charts.

No. A median makes no sense for categorical data. For example, if you have 10 red cars, 15 blue cars and 20 black cars, what is the median?

no it cant bec

When the data are not numerical but can be ordered , the median may be used as a measure of central tendency. Put the data in order and choose the middle value. For example, low, medium,medium,low, high etc.

The mean is used for evenly spread data, and median for skewed data. Not sure when the mode should be used.

it is used to find mean<median and mode of grouped data

The term central tendency refers to the middle value or a typical value of the data. It is measured using the mean, median, or mode of the data. Each of these processes is found using different methods, and the one that should be used depends on the situation. I truly hope this helps.