They are measures of the spread of distributions about their mean.
no
The sample variance (s²) is calculated using the formula ( s² = \frac{SS}{n - 1} ), where SS is the sum of squares and n is the sample size. For a sample size of n = 9 and SS = 72, the sample variance is ( s² = \frac{72}{9 - 1} = \frac{72}{8} = 9 ). The estimated standard error (SE) is the square root of the sample variance divided by the sample size, calculated as ( SE = \sqrt{\frac{s²}{n}} = \sqrt{\frac{9}{9}} = 1 ). Thus, the sample variance is 9 and the estimated standard error is 1.
http://www.futureaccountant.com/standard-costing-variance-analysis/ http://www.futureaccountant.com/standard-costing-variance-analysis/
standard costing and variance analysis
They are measures of the spread of distributions about their mean.
true
Labour rate variance .
no
Range, standard deviation, variance, root mean square, interquartile range
They are measures of the spread of the data and constitute one of the key descriptive statistics.
Standard deviation is the square root of the variance.
Standard error, standard deviation, variance, range, inter-quartile range as well as measures based on other percentiles.
Common measures of central tendency are the mean, median, mode. Common measures of dispersion are range, interquartile range, variance, standard deviation.
A small sample size and a large sample variance.
http://www.futureaccountant.com/standard-costing-variance-analysis/ http://www.futureaccountant.com/standard-costing-variance-analysis/
standard costing and variance analysis