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The standard deviation.

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A polynomial of degree zero is a constant term

The grouping method of factoring can still be used when only some of the terms share a common factor A True B False

The sum or difference of p and q is the of the x-term in the trinomial

A number a power of a variable or a product of the two is a monomial while a polynomial is the of monomials

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Q: What is the average distance of each data value from the mean?
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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.


What does Mean Absolute Deviation mean?

The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:Find the mean (average) value for the set of data. Call it M.For each observation, O, calculate the deviation, which is O - M.The absolute deviation is the absolute value of the deviation. If O - M is positive (or 0), the absolute value is the same. If not, it is M - O. The absolute value of O - M is written as |O - M|.Calculate the average of all the absolute deviations.One reason for using the absolute value is that the sum of the deviations will always be 0 and so will provide no useful information. The mean absolute deviation will be small for compact data sets and large for more spread out data. The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:Find the mean (average) value for the set of data. Call it M.For each observation, O, calculate the deviation, which is O - M.The absolute deviation is the absolute value of the deviation. If O - M is positive (or 0), the absolute value is the same. If not, it is M - O. The absolute value of O - M is written as |O - M|.Calculate the average of all the absolute deviations.One reason for using the absolute value is that the sum of the deviations will always be 0 and so will provide no useful information. The mean absolute deviation will be small for compact data sets and large for more spread out data. The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:Find the mean (average) value for the set of data. Call it M.For each observation, O, calculate the deviation, which is O - M.The absolute deviation is the absolute value of the deviation. If O - M is positive (or 0), the absolute value is the same. If not, it is M - O. The absolute value of O - M is written as |O - M|.Calculate the average of all the absolute deviations.One reason for using the absolute value is that the sum of the deviations will always be 0 and so will provide no useful information. The mean absolute deviation will be small for compact data sets and large for more spread out data. The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:Find the mean (average) value for the set of data. Call it M.For each observation, O, calculate the deviation, which is O - M.The absolute deviation is the absolute value of the deviation. If O - M is positive (or 0), the absolute value is the same. If not, it is M - O. The absolute value of O - M is written as |O - M|.Calculate the average of all the absolute deviations.One reason for using the absolute value is that the sum of the deviations will always be 0 and so will provide no useful information. The mean absolute deviation will be small for compact data sets and large for more spread out data.


What is a least square regression line?

If you plot data points on a graph the rarely will form a straight line. Least squares is a method of finding a line 'close' to all the data points instead of just guessing and drawing a line that looks good. If you have a line, then there is an algebraic formula to find the distance from each point to that line. Then using statistics, you can make the statistically averaged distance from each data point as close as possible to a line. The distances are squared, averaged, and the average of those squared distances may be used to find the regression line.


What does discrete data mean in maths?

Discrete - Each recorded data has a particular whole value e.g. Number of pencils in pencil cases, Number of correct answers in a test Continuous - The recorded data can have any value in a given range e.g. Height of students, Time taken to run 100m


What are some benefits of recording data on a stem and leaf plot?

There are many benefits of using a stem and leaf plot in the analysis of data. A stem and leaf plot can be constructed quickly. The value of each data point can be recovered from the plot. The data is arranged compactly because the stem is not repeated in multiple data points.

Related questions

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 will the sum of the deviation of each value from the data's average will always be zero?

the mean %100


How do you find the average of all of your data is in ranges and not exact numbers?

You treat each observation in a particular range as if it were the middle value of that range.


Who are automatically increases the number value in MS Access?

A field set to the Autonumber data type will automatically increase the value in each new record.A field set to the Autonumber data type will automatically increase the value in each new record.A field set to the Autonumber data type will automatically increase the value in each new record.A field set to the Autonumber data type will automatically increase the value in each new record.A field set to the Autonumber data type will automatically increase the value in each new record.A field set to the Autonumber data type will automatically increase the value in each new record.A field set to the Autonumber data type will automatically increase the value in each new record.A field set to the Autonumber data type will automatically increase the value in each new record.A field set to the Autonumber data type will automatically increase the value in each new record.A field set to the Autonumber data type will automatically increase the value in each new record.A field set to the Autonumber data type will automatically increase the value in each new record.


What can be said about a set of data when its standard deviation is small but not zero?

This means that the set of data is clustered really close to the mean/average. Your data set likely has a small range (highest value - lowest value). In other words, if the average is 6.3, and the standard deviation is 0.7, this means that each individual piece of data, on average, is different from the mean by 0.7. Each piece of data deviates from the mean by an average (standard) of 0.7; hence standard deviation! By definition, 66% of all data is 1 standard deviation from the mean, so 66% of the data in this example would be between the values of 5.6 and 7.0.


When can a set of data have no mode?

When each value occurs only once in the data set.


What is the distance of each point from 0 called?

absolute value


Is course evaluation scale nominal or ordinal or ratio or interval?

It is Ordinal:Order the data from smallest to largest or "worst" to "best".Each data value can be compared with another data value.


What does Mean Absolute Deviation mean?

The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:Find the mean (average) value for the set of data. Call it M.For each observation, O, calculate the deviation, which is O - M.The absolute deviation is the absolute value of the deviation. If O - M is positive (or 0), the absolute value is the same. If not, it is M - O. The absolute value of O - M is written as |O - M|.Calculate the average of all the absolute deviations.One reason for using the absolute value is that the sum of the deviations will always be 0 and so will provide no useful information. The mean absolute deviation will be small for compact data sets and large for more spread out data. The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:Find the mean (average) value for the set of data. Call it M.For each observation, O, calculate the deviation, which is O - M.The absolute deviation is the absolute value of the deviation. If O - M is positive (or 0), the absolute value is the same. If not, it is M - O. The absolute value of O - M is written as |O - M|.Calculate the average of all the absolute deviations.One reason for using the absolute value is that the sum of the deviations will always be 0 and so will provide no useful information. The mean absolute deviation will be small for compact data sets and large for more spread out data. The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:Find the mean (average) value for the set of data. Call it M.For each observation, O, calculate the deviation, which is O - M.The absolute deviation is the absolute value of the deviation. If O - M is positive (or 0), the absolute value is the same. If not, it is M - O. The absolute value of O - M is written as |O - M|.Calculate the average of all the absolute deviations.One reason for using the absolute value is that the sum of the deviations will always be 0 and so will provide no useful information. The mean absolute deviation will be small for compact data sets and large for more spread out data. The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:Find the mean (average) value for the set of data. Call it M.For each observation, O, calculate the deviation, which is O - M.The absolute deviation is the absolute value of the deviation. If O - M is positive (or 0), the absolute value is the same. If not, it is M - O. The absolute value of O - M is written as |O - M|.Calculate the average of all the absolute deviations.One reason for using the absolute value is that the sum of the deviations will always be 0 and so will provide no useful information. The mean absolute deviation will be small for compact data sets and large for more spread out data.


What is each value in a cell selected for a chart called?

data point


Each value in a cell selected for a chart is called a?

data points

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