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No, for example the set of data 15,20,26,28 has a median that is 20 + 26 /, or 23

Q: If the mean of a set of data is 23 must 23 be one of the data values?

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No. Here's one set of data where the mean is not one of the values: a set of 250,000 numbers. 125,000 of them are "1", 125,000 are "3". The mean of this data set is "2", which is not among the data.

one set of data values increases as the other decreases

There are five values with one missing. The original set had six values with a mean of 5, which means that the members of the set added up to thirty. The values we have total 19, the missing value is 11.

yes they are if you have 0 and 10 the mean is 5 and so is the median. The mean and the median can in fact be the same value. But basically to answer your question, One possible way is that if the values are ascending by 1 in the data set, then the number of values left to the median should be the same as the number of values right to the median. e.g. 6+7+8+9+10 6,7 = 2 terms 9,10 = 2 terms median =8 mode = 8

One variable data are measurements or recordings of the values of one characteristic of the subjects which are being studied. Two variable data refer to two characteristics. Examples of one variable data: hair colour, or height Examples of two variable data: hair colour and eye colour, or height and mass.

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No. Here's one set of data where the mean is not one of the values: a set of 250,000 numbers. 125,000 of them are "1", 125,000 are "3". The mean of this data set is "2", which is not among the data.

Not all the time

34.1% of the data values fall between (mean-1sd) and the mean.

The mean of a set of data is the sum of all those data values, divided by the numbers of values in the set. For instance, if we had 1, 3 and 5, the mean would be (1+3+5)/3 = 3. The mean doesn't always have to be one of the data points in the set. For instance, if we had the data 1, 6, 7, 7, 8. The mean would be (1+6+7+7+8)/5 = 5.8, even though 5.8 isn't one of the values in the set.

one set of data values increases as the other decreases

A data series is a range of values to be charted. If you have multiple data values, you may have multiple series, like several lines on a line chart. So you can have lots of values in a series, and lots of series in some charts. A pie chart cannot have more than one series. Data can be of various types.A data series is a range of values to be charted. If you have multiple data values, you may have multiple series, like several lines on a line chart. So you can have lots of values in a series, and lots of series in some charts. A pie chart cannot have more than one series. Data can be of various types.A data series is a range of values to be charted. If you have multiple data values, you may have multiple series, like several lines on a line chart. So you can have lots of values in a series, and lots of series in some charts. A pie chart cannot have more than one series. Data can be of various types.A data series is a range of values to be charted. If you have multiple data values, you may have multiple series, like several lines on a line chart. So you can have lots of values in a series, and lots of series in some charts. A pie chart cannot have more than one series. Data can be of various types.A data series is a range of values to be charted. If you have multiple data values, you may have multiple series, like several lines on a line chart. So you can have lots of values in a series, and lots of series in some charts. A pie chart cannot have more than one series. Data can be of various types.A data series is a range of values to be charted. If you have multiple data values, you may have multiple series, like several lines on a line chart. So you can have lots of values in a series, and lots of series in some charts. A pie chart cannot have more than one series. Data can be of various types.A data series is a range of values to be charted. If you have multiple data values, you may have multiple series, like several lines on a line chart. So you can have lots of values in a series, and lots of series in some charts. A pie chart cannot have more than one series. Data can be of various types.A data series is a range of values to be charted. If you have multiple data values, you may have multiple series, like several lines on a line chart. So you can have lots of values in a series, and lots of series in some charts. A pie chart cannot have more than one series. Data can be of various types.A data series is a range of values to be charted. If you have multiple data values, you may have multiple series, like several lines on a line chart. So you can have lots of values in a series, and lots of series in some charts. A pie chart cannot have more than one series. Data can be of various types.A data series is a range of values to be charted. If you have multiple data values, you may have multiple series, like several lines on a line chart. So you can have lots of values in a series, and lots of series in some charts. A pie chart cannot have more than one series. Data can be of various types.A data series is a range of values to be charted. If you have multiple data values, you may have multiple series, like several lines on a line chart. So you can have lots of values in a series, and lots of series in some charts. A pie chart cannot have more than one series. Data can be of various types.

MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.

This is one of the most important things while making a program. Accurate storage means having the right amount of space for the program. If the data type is too mall and there is lots of memory needed to store the values then the values get chopped which obviously means that the accuracy of the data and program gets lost.This is one of the most important things while making a program. Accurate storage means having the right amount of space for the program. If the data type is too mall and there is lots of memory needed to store the values then the values get chopped which obviously means that the accuracy of the data and program gets lost.

There are five values with one missing. The original set had six values with a mean of 5, which means that the members of the set added up to thirty. The values we have total 19, the missing value is 11.

Because, if there is an even number of results in the set of data, the mean must be calculated by finding the half-way point between the two central numbers.

negative correlation

The mean is one of those statistics that is more sensitive to outliers, and hence to mistakes in data, than it is to uncontaminated data. Here's a pseudorandom sample of normally distributed values with mean 10 and variance 1 in sorted order: 8.3, 8.3, 9.0, 9.1, 9.2, 9.3, 9.5, 9.5, 9.7, 9.8, 9.9, 9.9, 10.2, 10.3, 10.4, 10.7, 10.9, 11.1, 11.3, 11.8 (Actually I've rounded them to the nearest 10th for easier reading.) Their mean is 9.91. Now let me add one outlier to the sample, say 4.2. Now the mean is 9.64. The original mean was only 0.09 away from the true mean, this one is four times as far away. Of course it must also be said that one must be extremely careful about discarding data. Sometimes what appears to be an outlier has the most interesting information.