A third of people from Chicago carry concealed handguns in public before they reach middle age | The research suggests that almost half of men (48%) have carried a concealed gun by the age of 40, compared to just 16% of women.
Read Full Article
#ChicagoGunCulture #ConcealedCarry #GunOwnership #Statistics #PublicSafety
Read Full Article
#ChicagoGunCulture #ConcealedCarry #GunOwnership #Statistics #PublicSafety
www.cam.ac.uk
A third of people from Chicago carry concealed handguns in public before they reach middle age
Around a third (32%) of people who grew up in Chicago have carried a concealed firearm on the city streets at least once by the time they turn 40 years old, according to a major study of gun usage taking in a quarter of a century of data.
😎5🤯1🎃1
A common statistical shortcut may be causing researchers to miss important discoveries, a new study finds.
Read Full Article
#Statistics #ResearchMethodology #ScientificDiscovery
Read Full Article
#Statistics #ResearchMethodology #ScientificDiscovery
‘No difference’ may be wrong conclusion, scientists warn
Researchers from the Universities of Manchester, Oxford and Arkansas are urging scientists to stop treating “non-significant” results as proof that nothing happened.The common statistical mistake, they warn in a new paper in PNAS on 10 08 26 – one of the…
👍1
Science News
A common statistical shortcut may be causing researchers to miss important discoveries, a new study finds. Read Full Article #Statistics #ResearchMethodology #ScientificDiscovery
🔬 Scientists at Manchester, Oxford, and Arkansas warn that interpreting "non-significant" statistical results as proof of "no effect" is a common mistake that leads to flawed conclusions. A p-value above 0.05 doesn't prove nothing happened, but rather that there's insufficient evidence to confirm a difference.
📈 This misinterpretation, found in about 50% of research papers, risks overlooking important effects due to small sample sizes or variable data, potentially missing promising therapies or genuine risks.
💡 Researchers are promoting "equivalence testing" as a solution. This method distinguishes between genuinely negligible effects and inconclusive results due to lack of evidence, asking if any existing difference is too small to matter practically.
✨ A free online calculator has been developed by the team to make this approach more accessible, allowing researchers to perform equivalence tests without coding and fostering more careful interpretation of scientific data.
#Science #Research #Statistics
📈 This misinterpretation, found in about 50% of research papers, risks overlooking important effects due to small sample sizes or variable data, potentially missing promising therapies or genuine risks.
💡 Researchers are promoting "equivalence testing" as a solution. This method distinguishes between genuinely negligible effects and inconclusive results due to lack of evidence, asking if any existing difference is too small to matter practically.
✨ A free online calculator has been developed by the team to make this approach more accessible, allowing researchers to perform equivalence tests without coding and fostering more careful interpretation of scientific data.
#Science #Research #Statistics