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...hypotheses expected such as H₀, the null hypothesis. Running a hypothesis for a main effect will test whether there is evidence of an effect of diffe ...other parameters in the experiment.<ref>{{Cite book|title=encyclopedia of statistical sciences|last=kotz|first=johnson|year=2005|isbn=978-0-471-15044-2|pages=181 ...

'''Descriptive research''' is used to describe characteristics of a [[statistical population|population]] or phenomenon being studied. It does not answer que ...description is used for [[Frequency|frequencies]], [[average]]s, and other statistical calculations. Often the best approach, prior to writing descriptive resear ...

...Sons, Inc.</ref> or may need to be modified and then subjected to further testing. ...stical formula, the research [[hypothesis]] is supported. If not, the null hypothesis is supported (or, more accurately, not rejected), meaning no effect of the ...

...used as a way in which a "[l]ack of hard evidence to support the original hypothesis gets reframed as evidence that investment efforts need to be redoubled", an [[Category:Statistical hypothesis testing]] ...

{{short description|Scientific procedure performed to validate a hypothesis}} An '''experiment''' is a procedure carried out to support or refute a [[hypothesis]], or determine the [[efficacy]] or [[likelihood]] of something previously ...

...|experiments]].<ref name=Dodge>Dodge, Y. (2006) ''The Oxford Dictionary of Statistical Terms'', Oxford University Press. {{isbn|0-19-920613-9}}</ref> ...eks to characterize the distribution's central or typical value, while ''[[statistical dispersion|dispersion]]'' (or ''variability'') characterizes the extent to ...

...raud prevention]], [[ambient intelligence]], and [[consumer analytics]]. [[Statistical method]]s of profiling include [[Knowledge Discovery in Databases]] (KDD). ...were not previously hypothesized. In a way, this is a matter of generating hypothesis: finding correlations one did not expect or even think of. Once the pattern ...

...scription as research purposes. The explanation is connected to hypotheses testing (as a framework). The other research purposes are not connected to a framew ...by collecting data and assessing the evidence (usually quantitative using statistical tests). For example, Kai Huang wanted to determine what factors contributed ...

...controlled by including other common characteristics of the cohort in the statistical analysis. Both exposure/treatment and control variables are measured at bas ...t variables to be included in the regression model for cohort studies, and statistical methods can be used to identify and account for potential confounders from ...

...Pierre Auger Observatory, the world's largest observatory, found with high statistical significance that ultra-high-energy cosmic rays are not purely protons, but .....35..536H |doi-access=free }}</ref> The claim is based on data with lower statistical significance, however. The area covered by Telescope Array is about one thi ...

...proposed explanation for a phenomenon. For a hypothesis to be a scientific hypothesis, the scientific method requires that one can test it. Scientists generally *# [[Predicting]] a logical consequence of the hypothesis ...

{{Main article|Human subject research|Animal testing}} ...perimental psychology]]. Researchers design experiments to test specific [[Hypothesis|hypotheses]] (the [[deductive reasoning|deductive approach]]), or to evalua ...

...al model explains the empirical findings as [[regression toward the mean|a statistical effect]] in combination with the general tendency to think that one is [[il ...have been made to measure metacognitive abilities directly to examine this hypothesis. Some findings suggest that poor performers have reduced metacognitive sens ...

...t apparently significant results from noisy data where ordinary hypothesis testing would have found none.<ref>{{cite web |url=https://fivethirtyeight.com/feat ...

# [[Hypothesis]]: A testable prediction which designates the relationship between two or m # [[Scientific method#Evaluation and improvement|Test, revising of hypothesis]] ...

...res, data coding and aggregation method, criteria for data exclusions, and statistical analyses, including potential variations on those analyses. This preregistr # Undisclosed [[Multiple comparisons problem|multiple testing]] ...

*when inferences are considered, what we are testing by using this statistic is that the difference between two mathematical exp ...g. |url=http://dx.doi.org/10.2307/2289892 |journal=Journal of the American Statistical Association |volume=84 |issue=405 |pages=337 |doi=10.2307/2289892 |jstor=22 ...

....195 | doi-access = free }}</ref> Bell showed that a local hidden variable hypothesis leads to restrictions on the strength of correlations of measurement result ...ted these inequalities in a manner that was more conducive to experimental testing (see [[CHSH inequality]]).<ref name="CHSH">{{cite journal | last1 = Clauser ...

...n issue of [[public interest]]; (2) divisiveness on the issue; (3) a quasi-statistical sense that helps an individual perceive the climate of opinion as well as e ...|date=23 September 2013 |title=Gay Bullying and Online Opinion Expression: Testing Spiral of Silence in the Social Media Environment |journal=Social Science C ...

...from the hypothesis|predictions]] should then be [[statistical hypothesis testing|tested]] against [[Scientific method#Evaluation and improvement|new data]]. ...g the best]]. In these traditional areas of [[mathematical statistics]], a statistical-decision problem is formulated by minimizing an [[objective function]], lik ...