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use of statistical tool, Applied Statistics
#question what is the statistical process to reduce hardness of water
Posted Date: 12/12/2012 7:34:05 AM | Location : USA
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Data analysis, #quesgraphical representation of data
#quesgraphical representation of data
Descriptive statistics, Descriptive Statistics : Carrying out an extens...
Descriptive Statistics : Carrying out an extensive analysis the data was not a subject to ambiguity and there were no missing values. Below are descriptive statistics that hav
Mean absolute deviation, Mean Absolute Deviation To avoid the problem o...
Mean Absolute Deviation To avoid the problem of positive and negative deviations canceling out each other, we can use the Mean Absolute Deviation which is given by
How many possible latin square designs are there, In an agricultural experi...
In an agricultural experiment, we wish to compare the yields of three different varieties of wheat. Call these varieties A, B and C. We have a ?eld that has been marked into a 3 *
Probability distribution and sampling distribution , a 100 squash balls are...
a 100 squash balls are bounce from height of 100 inches with average height 30 inch with standard deviation 3/4 inch. a ball is fast if bounce above 32 inch. what is chance of gett
Determine the subset of variables, Agency revenues. An economic consultant ...
Agency revenues. An economic consultant was retained by a large employment agency in a metropolitan area to develop a regression model for predicting monthly agency revenues ( y ).
Residual, regression line drawn as Y=C+1075x, when x was 2, and y was 239, ...
regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual
., Theories of Business forecasting
Theories of Business forecasting
Mode for grouped data, Grouped Data For calculating mode from a...
Grouped Data For calculating mode from a frequency distribution, the following formula Mode = L mo + x W where,
Introduction to multiple regression, In simple regression the dependent var...
In simple regression the dependent variable Y was assumed to be linearly related to a single variable X. In real life, however, we often find that a dependent variable may depend o
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