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Data dredging is ok
Data dredging is ok











data dredging is ok

Local Notice to Mariners has been issued, and USACE requests all boaters and navigators to respect the slow speed, minimum wake signs when passing the dredge. Dredging and placement will be continuous, 24 hours a day, seven days a week, until the project is complete. The dredge pipe will be weighted and submerged, and its underwater route marked with orange poly balls and lighted danger diamond buoys. The project calls for the dredging of approximately 120,000 cubic yards of shoaling from Cuts 1, 2A and 3 of the federal channel, including wideners and settling basin, to a required depth of 12 feet plus 2 feet of allowable over-depth.Īll dredged material will be dispersed in a nearshore placement area approximately 8,000 feet south of the dredged channel, progressing from north to south approximately one mile. of Chesapeake, Virginia, and is expected to be complete in late August or early September. The project is being executed under a $2.9 million contract awarded in June to Cottrell Contracting Corp. Army Corps of Engineers, Jacksonville District, will begin maintenance dredging of the federal navigation channel (also known as Matanzas Pass) in the vicinity of Fort Myers Beach, Florida, as early as Tuesday, Aug. Another solution to the problem of data dredging is to use the Bonferroni correction.U.S. It is now common practice to register clinical trials and specify in advance what the primary endpoints and hypotheses are to avoid the bias of data dredging. They may not be a true relationship and is spurious and any correlation found is by chance.ĭata dredging is also referred to as fishing, p-hacking, significance chasing or data snooping. If you do many and repeated statistical tests (multiple comparisons) on a data set, then some will be statistically significant by chance. This typically happens when a data set is examined too many times with many statistical tests on the data and then only reporting or paying attention to those results that come back with statistical significance.

data dredging is ok

This leads to a spurious excess of false-positive and statistically significant results. Data dredging is the cherry-picking of multiple statistical tests on a data set to demonstrate a promising or attractive finding.













Data dredging is ok