Listed are the net sales for a San Francisco-area mail-order retailer for the years 2009 to 2018. Sales Year (millions) 2009 $486.6 2010 506.8 2011 522.2 2012 574.6 11 2013 580.7 2014 568.5 2015 581.9 2016 496.1 2017 456.6 2018 433.3 Click here for the Excel Data File Use the mean sales for the earliest three years to determine a base and then find the index for 2017 and 2018. (Round your answers to 1 decimal place.) The base value Year 2017 2018 Simple index
Listed are the net sales for a San Francisco-area mail-order retailer for the years 2009 to 2018. Sales Year (millions) 2009 $486.6 2010 506.8 2011 522.2 2012 574.6 11 2013 580.7 2014 568.5 2015 581.9 2016 496.1 2017 456.6 2018 433.3 Click here for the Excel Data File Use the mean sales for the earliest three years to determine a base and then find the index for 2017 and 2018. (Round your answers to 1 decimal place.) The base value Year 2017 2018 Simple index
Listed are the net sales for a San Francisco-area mail-order retailer for the years 2009 to 2018. Sales Year (millions) 2009 $486.6 2010 506.8 2011 522.2 2012 574.6 11 2013 580.7 2014 568.5 2015 581.9 2016 496.1 2017 456.6 2018 433.3 Click here for the Excel Data File Use the mean sales for the earliest three years to determine a base and then find the index for 2017 and 2018. (Round your answers to 1 decimal place.) The base value Year 2017 2018 Simple index
Listed are the net sales for a San Francisco–area mail-order retailer for the years 2009 to 2018.
Use the mean sales for the earliest three years to determine a base and then find the index for 2017 and 2018. (Round your answers to 1 decimal place.)
By how much have net sales increased from the base period? (Round your answers to 1 decimal place.)
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
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