the formula of labour rate variance?
347999
Hey... I found this Online... but I dunno if it's exactly whut you're lookin for. =|\n\n----\nDirect labor rate variance = Actual direct labor-hrs x(Actual rate/hr\nless Standard rate/hr)\n= $4420x ($14.35 less $14.00)\n= $4420x.35\n= $1547 Unfavorable\nThis adverse variance needs management attention. It is important to analyze and pinpoint the reasons for this negative variance so that necessary corrective measures can be instituted and labor rate brought in line with the standards set. It may be that the labor rate is higher due to excess overtime which again calls for inquiry. Also the standards may be studied for any possible inaccuracies. \nd. Direct labor efficiency variance. \nThis variance is calculated using the equation \nDirect labor efficiency variance = Standard rate/hr x (Actual number of hrs\nless standard quantity allowed)\n= $14x(4420-1900*2.4)\n= $14x (4420-4560)\n= $14x140\n= $1960 Favorable\nThe deployment and utilization of labor force shows a positive variance and should be a source of satisfaction to the management. This trend needs to be maintained. \n-----\n\nGood Luck.
610991
http://www.cc.ysu.edu/~dmsewell/hwp.cgi\n\nDo the chart.
197113
To calculate by hand, you need to know the total number of months (n), which is 24.  Then you need the total number of accidents, which is 1x0+2x1+5x2+7x3+6x4+3x5 or 72.  Then find the mean number of accidents per month, 72/24 = 3.  Tis is called x bar (its symbol is x with a bar over it).\n\nNext you have to subtract each number of accidents from x bar, square this difference, and multiply it by the number of months that had that many accidents.\n\n(0-3)^2 = 9 x 1 = 9\n(1-3)^2 = 4 x 2 = 8\n(2-3)^2 = 1 x 5 = 5\n etc.\n\nAdd up all the answers, and divide it by 24.  This is called the variance.\n\nFinally, take the square root of the variance.  That is the standard deviation.\n\nMany times statisticians deduct one from the total when calculating population standard deviation.  That would be done if not all of the data is in your chart.  Based on the fact that x bar came out exactly 3 using n = 24, I bet that's the number your book intended for you to use.  Hope that helps!
121079
Variance is the square of the standard deviation......usually given the symbol (small case) sigma.\n\nVariance ==> σ^2\n\nFind that symbol. It's common and should be readily seen on the keypad.
1118574
Find the midpoint of each interval.\nFor 1-3, the midpoint is (3+1)/2 = 4/2 = 2\nFor 4-6, the midpoint is (6+4)/2 = 10/2 = 5\nFor 7-9, the midpoint is (9+7)/2 = 16/2 = 8\n2(1) + 5(6) + 8(3)\n= 2+30+24\n= 56\nn = number of data points = 1+6+3 = 10\nvariance = [1/(10-1)][((2^2)(1) +(5^2)(6) +(8^2)(3)) - (56^2)/10]\n= (1/9)((4+150+192) - 3136/10)\n= (1/9)(346 - 313.6)\n= (1/9)(32.4)\n= 3.6\nstandard deviation = sqrt(variance)\n= sqrt(3.6) \n= 1.9
814337
This will help you out! \n\nhttp://www.webqc.org/mmcalc.php
598935
Used to set insurance premiums, the probability of getting into accidents based on your car type/age\n\nFor evaluating worker performance, ie you're on time 95% of the time or only 80%\n\nHow can you actually tell when two sets of data are different? Need statistics.\n\n A lot of jobs in stats!!
688944
View source of the that page.\nYou will see the formulas.
964589
to find the mean and variance of a MGF you need to find the moments.  To find the first moment, take the first derivative and then set t=0.  This would be (3 + 16t)*e^(3t + 8t^2).  With t=0 this equals 3.  The second moment is equated from the second derivative.  This is 16*e^(3t + 8t^2) + (e^(3t + 8t^2))*(3+16t)^2.  With t=0 the second moment equals 16 + 9 = 25.  \n\nThe mean is the first moment when t=0.  This equals 3.  \n\nThe variance is the second moment minus the first moment squared.  This equals 25 - 9 = 16.
458036
If I understand your question correctly, this should help:\n\nTotal Variance = (Actual Quantity x Actual Rate) - (Budgeted Quantity x Budgeted Rate)\n\nIf you get a positive number, the variance is unfavorable and if you get a negative number, the variance is favorable.  \n\nHope this helps!
163979
Try the Bureau of Labor Statistics :)
1003877
The general formula for an ordinary annuity is\n\nFV = PMT * (((1 + i) ^n - 1) / i)\n\nwhere\nFV = future value\nPMT = Amount of each payment\ni = interest rate per period\nn = number of periods\n\nWith the semi-annual version, take the annual rate and divide by 2.  Multiply the number of years by 2 to get n.
1071099
Here is a link to a users manual-specifically the statistics section. You can go to the full contents.\nhttp://www.infj.ulst.ac.uk/NI-Maths/Guides/TexTI-85/Ch3/THBStats.html
1018969
Just google it dear..very simple..calculate mean and average the sum of square of variation of each score from the mean.\nhttp://davidmlane.com/hyperstat/A16252.html
1156519
If you are using a sample set of data you can press stat/edit - then press enter/enter a list of numbers/ press stat again/move the arrow to calc/ select 1-Var stats/ press enter/press 2nd and then 1 (or L1)/ press enter.\n\nx bar = the sample mean\nSx = the sample standard deviation\nVariance = Sx squared
314484
Capital, labor, and technology\n\nY=A*F(K, L)
837680
I assume you are talking about the rate function in MS Excel. It is not difficult to explain, but the reference site does a better job then I would.