0
you calculate it by using a supercomputer that has over 100 petabytes of data it is a search engine it searches throughout the world looking for information it calculates it in the so called brain of the computer which is a mother board and hardware wall linked to the main computer than calculates sample data to answer a question that once never had an answer to it. So that means that it brings the closest correct information that it can find throughout the web and makes the no answered question answerable and thats how it calculates the variance of sample data.
What else can I help you with?
How do you calculate variances in a data set?
To calculate the variance of a data set, first determine the mean (average) of the data. Then, subtract the mean from each data point to find the deviation of each point, square these deviations, and sum them up. Finally, divide this total by the number of data points (for population variance) or by the number of data points minus one (for sample variance) to obtain the variance. This gives you a measure of how spread out the data points are from the mean.
What is the formula used to calculate the variance of a set of data?
The formula to calculate the variance of a set of data is given by: [ \sigma^2 = \frac{1}{N} \sum_{i=1}^{N} (x_i - \mu)^2 ] for a population, where ( \sigma^2 ) is the variance, ( N ) is the number of data points, ( x_i ) represents each data point, and ( \mu ) is the mean of the data set. For a sample, the formula adjusts to: [ s^2 = \frac{1}{n-1} \sum_{i=1}^{n} (x_i - \bar{x})^2 ] where ( s^2 ) is the sample variance, ( n ) is the number of sample points, and ( \bar{x} ) is the sample mean.
Is the standard deviation of the data values in a sample is 17 what is the variance of the data values?
The variance of a set of data values is the square of the standard deviation. If the standard deviation is 17, the variance can be calculated as (17^2), which equals 289. Therefore, the variance of the data values in the sample is 289.
How do you get a variance?
To calculate variance, first find the mean (average) of your data set. Then, subtract the mean from each data point and square the result to eliminate negative values. Next, sum these squared differences and divide by the number of data points (for population variance) or by the number of data points minus one (for sample variance). This final result is the variance, which measures the spread of the data points around the mean.
What choices is variance of the sample shown here 353641566071?
To calculate the variance of the sample data set 353641566071, first find the mean by adding all the values together and dividing by the number of values. Then, compute the squared differences between each value and the mean, and average those squared differences to obtain the variance. The choices for variance would typically be numerical values reflecting the dispersion of the data around the mean.
How do you calculate variances in a data set?
To calculate the variance of a data set, first determine the mean (average) of the data. Then, subtract the mean from each data point to find the deviation of each point, square these deviations, and sum them up. Finally, divide this total by the number of data points (for population variance) or by the number of data points minus one (for sample variance) to obtain the variance. This gives you a measure of how spread out the data points are from the mean.
What is the formula used to calculate the variance of a set of data?
The formula to calculate the variance of a set of data is given by: [ \sigma^2 = \frac{1}{N} \sum_{i=1}^{N} (x_i - \mu)^2 ] for a population, where ( \sigma^2 ) is the variance, ( N ) is the number of data points, ( x_i ) represents each data point, and ( \mu ) is the mean of the data set. For a sample, the formula adjusts to: [ s^2 = \frac{1}{n-1} \sum_{i=1}^{n} (x_i - \bar{x})^2 ] where ( s^2 ) is the sample variance, ( n ) is the number of sample points, and ( \bar{x} ) is the sample mean.
Is the standard deviation of the data values in a sample is 17 what is the variance of the data values?
The variance of a set of data values is the square of the standard deviation. If the standard deviation is 17, the variance can be calculated as (17^2), which equals 289. Therefore, the variance of the data values in the sample is 289.
How do you get a variance?
To calculate variance, first find the mean (average) of your data set. Then, subtract the mean from each data point and square the result to eliminate negative values. Next, sum these squared differences and divide by the number of data points (for population variance) or by the number of data points minus one (for sample variance). This final result is the variance, which measures the spread of the data points around the mean.
If the variance of the data values in a sample is 169 what is the standard deviation of the data values?
For a sample, the SD is 13.53, approx.
What choices is variance of the sample shown here 353641566071?
To calculate the variance of the sample data set 353641566071, first find the mean by adding all the values together and dividing by the number of values. Then, compute the squared differences between each value and the mean, and average those squared differences to obtain the variance. The choices for variance would typically be numerical values reflecting the dispersion of the data around the mean.
If the variance of the data values in a sample is 121 what is the standard deviation of the data values?
11
What is the relationship between standard deviation and variance for the same sample data?
The standard deviation is the square root of the variance.
What is the variance with sample data set 9 14 19 16 8 6 17 11 18?
The variance of this data set is 22.611
What is the proof of sample variance and how is it derived?
The proof of sample variance involves calculating the sum of squared differences between each data point and the sample mean, dividing by the number of data points minus one, and taking the square root. This formula is derived from the definition of variance as the average of the squared differences from the mean.
Is the standrad deviation of the data values in a sample is 17 what is the variance of the data values?
is the standrad deviation of the data values in a sample is 17 what is the variance of the data values
How many cases are needed for analysis of variance?
There only needs to be one data point to calculate variance.
