| Name : perl-Statistics-ChiSquare
| |
| Version : 1.0000
| Vendor : obs://build_opensuse_org/home:huakim:matrix
|
| Release : 7.3
| Date : 2019-04-03 08:52:44
|
| Group : Development/Libraries/Perl
| Source RPM : perl-Statistics-ChiSquare-1.0000-7.3.src.rpm
|
| Size : 0.07 MB
| |
| Packager : (none)
| |
| Summary : How well-distributed is your data?
|
Description :
Suppose you flip a coin 100 times, and it turns up heads 70 times. _Is the
coin fair?_
Suppose you roll a die 100 times, and it shows 30 sixes. _Is the die
loaded?_
In statistics, the *chi-square* test calculates how well a series of
numbers fits a distribution. In this module, we only test for whether
results fit an even distribution. It doesn\'t simply say \"yes\" or \"no\".
Instead, it gives you a _confidence interval_, which sets upper and lower
bounds on the likelihood that the variation in your data is due to chance.
See the examples below.
If you\'ve ever studied elementary genetics, you\'ve probably heard about
Gregor Mendel. He was a wacky Austrian botanist who discovered (in 1865)
that traits could be inherited in a predictable fashion. He did lots of
experiments with cross breeding peas: green peas, yellow peas, smooth peas,
wrinkled peas. A veritable Brave New World of legumes.
But Mendel faked his data. A statistician by the name of R. A. Fisher used
the chi-square test to prove it.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/home:/huakim:/matrix/openSUSE_Factory_RISCV/noarch |
