Statistical tests are conducted to determine whether the changes or differences between two result numbers are statistically significant. The term "significant" does not imply a judgment about the absolute magnitude or educational relevance of changes in student performance. Rather, it is used to indicate that the observed changes are not likely to be associated with sampling and measurement error.
The probability that the association between the factor and the outcome is due to chance is less than a specified level (by convention, p 0.05).
Significance tests are performed to see if the null hypothesis can be rejected at a certain level of significance.
loosely just called significant. Indicating that a set of data provides sufficient evidence to justify rejecting a null hypothesis.
Something is statistically significant if it is unlikely that the event would occur by change less than a specific proportion of the time. If no specific proportion is given, the 5% level is assumed.
is a judgment that a statistical procedure or test leads one to conclude that a similarity, difference, or relationship attains sufficient credibility and support. Statistical significance means that these relationships are greater than the margin of error. Since the size of differences and strength of relationships required to make this judgment are based in part on the number of cases being analyzed, statistical significance is not the same as evaluation of the size or strength of a relationship. That is, while many relationships are both statistically significant and of substantial importance, some may be significant but not worth talking about.
The likelihood that a result (eg, of a clinical trial) is caused by something other than mere chance. Significance is defined by an appropriately small p value, almost always set at p0.05. A statistically significant finding may not necessarily be clinically significant, ie, it does not have a measurable impact on patients' symptoms.
Statistics: Statistically significant means the findings of a trial are unlikely to be due to chance. Generally, unless otherwise stated, an observed result that would occur by chance in only 1 of 20 similar trials (p 0.05) is considered to be statistically significant. Few test outcomes that traders bet large sums of money on are statistically significant. See: Significant, P Value
Something is statistically significant if it is proven to be at least 95% accurate and can be caused by a change no more than 51% of all cases.
A statistical term indicating that the results of a study are stronger than would be expected from chance alone.
A clear difference in numerical results that indicates a significant diversion.
If a result is 'statistically significant', it implies a statistical test has been carried-out, and the probability of obtaining the observed data (or more extreme) under the null hypothesis, is small â€“ typically less than 0.05.
Probably caused by something other than mere chance.
A result which is at least 95 percent likely to be accurate; a result that would be produced by chance no more than 5 percent of the time.
Statistical significance is a measure of probability. At Dynamic Logic, a statistically significant result means that there is only a 10% chance that the measured difference between two groups (Control and Exposed) would occur in a random sample if the two groups were not truly different from the entire population.
Describes a mathematical measure of difference between groups in a study. The difference is said to be statistically significant if it is greater than what might be expected to happen by chance alone.
In medicine, a mathematical measure of difference between two or more groups receiving different treatments that is greater than what might be expected to happen by chance alone.