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What are 5 number data that have mean of 20 value of variance 0?
Wiki User
∙ 14y ago
Variance = 0 means they are all the same. So the question is simplified to: what 5 identical values have a mean of 20. Since they are identical, their mean value is the same as themselves. So the answer, trivially, is [20, 20, 20, 20, 20].
Wiki User
∙ 14y ago
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What shows you how accurate to the true value an experimental value is?
The error, which can be measured in a number of different ways. Error, percentage error, mean absolute deviation, standardised error, standard deviation, variance are some measures that can be used.
What are are measures of variability or dispersion within a set of data?
Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.
How do you find variance of 2 sets of numbers?
1. Find the mean (average) of each set. 2. Subtract each value from its set mean. 3. Square each difference. 4. Add the squared values for each set. The sum of the squared differences for each set is that set's variance. If you want to find standard deviation (a much more useful number in most cases), divide the variance by the number of values in the set minus 1 (n-1), and then take the square root of the result.
How does the outlier effect the mean median and mode in a set of data?
There would be a difference to the median. The old number wouldn't be the median but the mode wouldn't change. If the outlier is a high value, it will cause the mean value to shift to the higher side, while a low valued outlier will drop the mean value to a lower number.
The sum of the values of a data set divided by the number of values?
Will gve the mean average of the data
What value shows how the data set as a whole is spread around the mean?
variance
Can the variance be a negative number?
First, we compute the variance by taking the sum of squares and divide that by N which is the number of data points in the same. It is average squared deviation of each number from its mean. The point is a squared number is always positive and N is always positive so the variance must always be non-negative. ( It can be 0). The variance is a measure of the dispersion of a set of data points around their mean value. It would not make sense for it to be negative.
How would you describe a variance?
A variance is a statistical measure that quantifies the spread or dispersion of data points in a dataset. It indicates how much each data point differs from the mean of the dataset. A higher variance value suggests a wider spread of data points, while a lower variance value indicates a more clustered data distribution.
Which value is NOT always a number in the data set it represents?
The range, median, mean, variance, standard deviation, absolute deviation, skewness, kurtosis, percentiles, quartiles, inter-quartile range - take your pick. It would have been simpler to ask which value IS in the data set!
Is variance based on deviations from the mean?
Variance is the squared deviation from the mean. (X bar - X data)^2
The mean is 10 What is the variance of the data set 4 9 9 13?
The variance is 13.5833
Is mean used to describe the variance of data?
Yes.
What is one formula statisticians use?
Some formulas statisticians may use are population mean, sample mean, variance, and standard deviation. They may also use linear regression line and standard error equations. Another can be the mean value of a data set, where one adds all data points given in a set and divides this number by the number of data points in the set.
When a coin is tossed four time then mean and variance of the number of the head?
Mean = 2. Variance = 1.
Relation between mean and standard deviation?
Standard deviation is the variance from the mean of the data.
Can variance be negative?
Since Variance is the average of the squared distanced from the mean, Variance must be a non negative number.
What is the significance of variance in statistics?
Variance is a measure of "relative to the mean, how far away does the other data fall" - it is a measure of dispersion. A high variance would indicate that your data is very much spread out over a large area (random), whereas a low variance would indicate that all your data is very similar.Standard deviation (the square root of the variance) is a measure of "on average, how far away does the data fall from the mean". It can be interpreted in a similar way to the variance, but since it is square rooted, it is less susceptible to outliers.
