Hi I need help with this please

p-Hacking

p-hacking is innocently or deliberating manipulating research to get a statistically significantp-value. In this way researchers can get published, but this also creates a high percentage of false studies.

thep-value is the conditional probability of getting data at least as extreme as what was observed GIVEN the Null Hypothesis is true.Many people incorrectly interpret a low p-value to mean there is a high probability that the claim they desire to publish (the Alternative Hypothesis) is true.

Sometimes, researchers will test for many effects and only publish results that have a statistically significant p-value

In 2005 a paper was published John P. A. Ioannidis,"Why Most Published Research Findings Are False"(https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1182327/)

shook the scientific world, bring to light the problem of p-hacking.Still p-hackinghas continued unabated and in 2016a social science journal stopped accepting research using the p-value.The American Statistical Association then published it's first everStatement on properly interpreting p-values(https://amstat.tandfonline.com/doi/full/10.1080/00031305.2016.1154108#.XsGbSURKiUk)

watch the video and then view the XKCD comic below on p-hacking and Share whatever you want on what you learned.(explain please)

Video: Is Most Published Research Wrong?(https://amstat.tandfonline.com/doi/full/10.1080/00031305.2016.1154108#.XsGbSURKiUk)

Comic: Significant (XKCD)

P-VALUE INTERPRETATION 0.001 0.01 HIGHLY SIGNIFICANT 0.02 0.03 0.04 SIGNIFICANT 0.049 0.050 OH CRAP. REDO CALCULATIONS. 0.051 ON THE EDGE 0.06 OF SIGNIFICANCE 0.07 HIGHLY SUGGESTIVE, 0.08 SIGNIFICANT AT THE 0.09 PCO.10 LEVEL 0.099 HEY, LOOK AT 20.1 THIS INTERESTING SUBGROUP ANALYSIS