You cannot. Statistics are not an observational tool.
cenus investigation sampling analysis of past trends
census investigation sampling analysis of past trends
The limitation of any statistical application is the fact that it always depends on some sampling. If this sampling is incomplete, or not representative of your actual base (say customers), your data may not yield accurate conclusions. Additionally, since it depends on sampling, your measurement is only applicable to a base that fits the profile of your sampling. For instance, if you took your sampling from Caucasian males over age 35, and it turns out your customer base has a large number of African, American females under 23, your conclusions based on the statistics could be imperfect.
Cause and Effect is a what could not what did. Its a theory chain
a pooing bird
do your own research dude! sickeez!
I think answer is File Compression
A computer refers to a physical device that can receive, store, process, and output data. It consists of hardware components such as the central processing unit (CPU), memory, storage, and input/output devices. On the other hand, a computer utility is a software program designed to perform specific tasks to maintain, optimize, or enhance the performance of a computer system. Computer utilities can include antivirus programs, disk cleanup tools, and system optimization software.
It is a system tool.
A tool that starts with U is a utility knife.
You cannot. Statistics are not an observational tool.
Statistics has huge application in business and these are used to help in taking managerial decisions by the managers. Moreover, there are many statistical formulas which make too much convenience in taking managerial decisions. They are also helpful in calculating GDP of a business or state.
cenus investigation sampling analysis of past trends
census investigation sampling analysis of past trends
The limitation of any statistical application is the fact that it always depends on some sampling. If this sampling is incomplete, or not representative of your actual base (say customers), your data may not yield accurate conclusions. Additionally, since it depends on sampling, your measurement is only applicable to a base that fits the profile of your sampling. For instance, if you took your sampling from Caucasian males over age 35, and it turns out your customer base has a large number of African, American females under 23, your conclusions based on the statistics could be imperfect.
get your answere at http://hr-horizons.blogspot.com/2008/07/recruitment-process-outsourcing_23.html