Unitec: D:\308870190.docUsing a Calculator for Statistics Casio fx-82MS Mean and Standard deviation1.Turn calculator on! [ON]2.Put into Statistical Mode [MODE][2] 3.Clear the statistical memory [SHIFT][CLR][1][=] ([CLR] is next to [ON])[STAT CLEAR shows on the screen –you can enter data now](Clear the statistical memory each time you have a new data set to work with –very important!)4.To enter data key in each piece of data then press [M+]For example, to enter (18, 23, 20, 21, 24, 23, 21, 21, 15, 19, 24) 18 [M+] 23 [M+] 20 [M+] 21 [M+] 24 [M+] 23 [M+] 21 [M+] 21 [M+] 15 [M+] 19 [M+] 24 [M+]5.n (the number of pieces of data) is shown on the screen(11)6.To find the mean (x): [SHIFT][2][1][=](20.82 (2dp))7.To find the standard deviation: [SHIFT][2][2][=](σ) if the data is from a population(2.62 (2dp))[SHIFT][2][3][=](s or σ1n) if the data is from a sample (2.75 (2dp))8.To enter grouped data: key in each piece of data then press [SHIFT] [,] frequency [M+] ([,] is on the left of [M+])For exampleFrequency Table for the number of faults in a componentNumber of FaultsFrequency028111240[SHIFT][,]28[M+] 1[SHIFT][,]11[M+] 2[SHIFT][,]4[M+] For this data n = 43, mean (x)= 0.44, sample standard deviation (s or σ1n) = 0.67To find,,2xxor n; press [SHIFT] [1] then choose the appropriate statistic
Unitec: D:\308870190.docCorrelation / Linear Regression Calculations1.Turn calculator on! [ON]2.Put into Regression Mode [MODE][3] 3.Choose linear regression [1]4.Clear the statistical memory [SHIFT][MODE] [=] ([CLR] is next to [ON])(do this each time you have a new data set to work with –very important!)5.To enter data, key in xvariable [,] y variable [M+]([,] is on the left of [M+])For example, to enter data in this tablex variableyvariable51008118121245 [,]100 [M+] 8 [,] 118 [M+] 12 [,] 124 [M+]For all regression statistics key [SHIFT][2] –S-VAR When you press this key you may not be able to see what you require –you must scroll along with the big replay key in the centre of the calculator to see the statistic before you key in its numberYou must key [AC] between each statistic6.To find r (the correlation co-efficient): [SHIFT] [2] [3] [=](0.935)7.To find r²(the co-efficient of determination) square r (0.874)8.To find the linear regression equation y = a + bx[SHIFT] [2 ] [1] [=] for a(86.297)[SHIFT] [2] [2] [=] for b(3.324)9.To predict y from your regression equation: yˆKey in x value say [9] and then [SHIFT] [2] scroll [2] yˆ[=](If x = 9, y = 116.2)