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What is the mode used as a measure of central tendency?
It is the data value that is observed most often.It is the data value that is observed most often.It is the data value that is observed most often.It is the data value that is observed most often.
What are the upper and lower quartiles of the data set?
The upper quartile is the value such that a quarter of the data are greater than that value. Similarly, the lower quartile is the value such that a quarter of the data are lower than that value.
Single value or piece of data from the data series?
Data Point
What is the minimum data value in a data set?
The minimum data value in a data set is simply the lowest value of the set (easily found by arranging the set from lowest-highest values in an excel sheet or by hand).
Why is the mean an estimated value and not the true value?
The mean is an estimated value because it is calculated based on a sample of data rather than the entire population. Sampling variability can cause the mean of a sample to differ from the true population mean. Additionally, the mean is sensitive to outliers and skewed data, which can further affect its accuracy as an estimate of the true population value.
In math class using given data to estimate a value beyond the known values is?
It is called extrapolation.
To use given data to estimate a value beyond known values?
It is called EXTRAPOLATION and should only be used with great care.
What is use given data try a to estimate a value beyond the known values?
Using given data to estimate a value beyond the known values is often referred to as extrapolation. This technique involves analyzing the existing data points to identify trends or patterns and then extending those trends to predict unknown values. Extrapolation assumes that the established patterns will continue in the same manner outside the range of the known data. However, it can introduce significant uncertainty, especially if the underlying relationship changes outside the observed range.
What is to use a given data to estimate a value between known values?
interpolation
What data is organized and presented in a manner that has additional value beyond the value of the data itself?
Information is the form of data that is organized and presented in a manner that has additional value beyond the value of the data itself.
What is it called When you estimate using a graph beyond measured data in science?
models
When you extend a line beyond your data points to predict the value outside your data points you?
extrapolate
What is the mode and median?
Both median and mode are the statistics formulas, Median is called mid value of the given data and mode is the value which occure repetedly in the given data.
What is it to use given data to estimate a value beyond the known values?
It means to decide what the next thing would be based on the things you already know. For example, if you had a linear equation (a graph where the line is completely straight) and you knew three points, you would be able to use the three points (the known values) to figure out what the fourth or fifth points (the value you are estimating) would be based on the space between each point (the given data).It is called extrapolation (or forecasting) and is usually subject to quite large errors.
Define range in mathematics?
The range is the maximum value in a given data minus its minimum value
What is the difference between an estimand and an estimate in statistical analysis?
An estimand is the target quantity that a statistical analysis aims to estimate, while an estimate is the actual value calculated from the data to approximate the estimand. The estimand is the ideal value we want to know, while the estimate is the best guess we can make based on the available data.
When the sum of the lowest data value and highest data value is divided by 2 the measure is called?
When the sum of the lowest data value and the highest data value is divided by 2, the measure is called the midrange. It provides a simple average of the extremes in a data set, offering a quick estimate of its central tendency. However, it can be sensitive to outliers, as extreme values can skew the result.
