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If a data set has many outliers which measure of central tendency would be the BEST to use?
In a data set with many outliers, the median is the best measure of central tendency to use. Unlike the mean, which can be significantly affected by extreme values, the median provides a more accurate representation of the central location of the data. It effectively divides the data into two equal halves, making it robust against outliers. Therefore, the median offers a clearer understanding of the typical value in such cases.
Which measure of central location will the sum of the deviation of each value from the data's average will always be zero?
the mean %100
What is the sum of all deviations of a data value from a measure of central location that will always be zero?
Difference (deviation) from the mean.
What is statistical average?
average is defined as a single value which has tendency to represent the data as a whole. averages are also called "measure of central tendency" or "measure of location"
What kind of conclusions could you make about box and whisker plots?
It is a useful scheme to summarise data. It provides information on the central tendency (median) and a measure of spread (inter-quartile range). The total range is also indicated and outliers are separately identified. The location of the median within the IQR "box" provides an indication of the skewness of the data.
A value that is typical or representative of the data is referred to as a measure of central location?
No, it is not, values typical of the data are always located at the extremes of all data frequencies.
For which measure of central location will the sum of the deviations of each value from the data's average will always be zero?
The mean.
Which measure of central location will the sum of the deviations of each value from the data's average always be zero?
the mean
Which measure of central location is found by arranging the data from smallest to largest and selecting the middle value?
median
If a data set has many outliers which measure of central tendency would be the BEST to use?
In a data set with many outliers, the median is the best measure of central tendency to use. Unlike the mean, which can be significantly affected by extreme values, the median provides a more accurate representation of the central location of the data. It effectively divides the data into two equal halves, making it robust against outliers. Therefore, the median offers a clearer understanding of the typical value in such cases.
Which measure of central location will the sum of the deviation of each value from the data's average will always be zero?
the mean %100
What is the sum of all deviations of a data value from a measure of central location that will always be zero?
Difference (deviation) from the mean.
Which measure of central tendency can be calculated for both quantitative data and for qualitative data?
Mode is the only measure of central tendency to measure quantitative dataor qualitative data.
Which measure of central tendency is the most accurate measure of data?
That depends on the data.
What is statistical average?
average is defined as a single value which has tendency to represent the data as a whole. averages are also called "measure of central tendency" or "measure of location"
What kind of conclusions could you make about box and whisker plots?
It is a useful scheme to summarise data. It provides information on the central tendency (median) and a measure of spread (inter-quartile range). The total range is also indicated and outliers are separately identified. The location of the median within the IQR "box" provides an indication of the skewness of the data.
What measure describes the center of data?
The measure that describes the center of data is known as the "central tendency." The three most common measures of central tendency are the mean, median, and mode. The mean is the average of all data points, the median is the middle value when data is ordered, and the mode is the most frequently occurring value. Each measure provides different insights into the data's distribution and can be used depending on the context.
