Statistically significant findings indicate
not only that the researchers’ results are unlikely the result of chance
, but also that there is an effect or relationship between the variables being studied in the larger population.
What does it mean when you say your findings were statistically significant?
If it is unlikely enough that the difference in outcomes occurred by chance alone
, the difference is pronounced “statistically significant.”
What do statistically significant results imply?
A result of an experiment is said to have statistical significance, or be statistically significant, if it is likely not caused by chance for a given statistical significance level. … It also means that
there is a 5% chance that you could be wrong
.
What does it mean to find statistically significant results quizlet?
Statistical significance
means that the result observed in a sample is unusual when the null hypothesis is assumed to be true.
Are all statistically significant findings meaningful?
Statistical significance does not necessarily mean that the
results are practically significant in
a real-world sense of importance. In this blog post, I’ll talk about the differences between practical significance and statistical significance, and how to determine if your results are meaningful in the real world.
What is the most common standard for statistical significance?
Significance is usually denoted by a p-value, or probability value. Statistical significance is arbitrary – it depends on the threshold, or alpha value, chosen by the researcher. The most common threshold is
p < 0.05
, which means that the data is likely to occur less than 5% of the time under the null hypothesis.
How do you know if a survey is statistically significant?
The number of standard deviations a number is away from the mean.
If the absolute value of the test statistic is greater than 1.96* standard deviations of the mean
, then it’s considered a statistically significant difference.
Is .000 statistically significant?
000 which is impossible and must be taken as p< . 001, i.e null hypothesis is rejected (test
is statistically significant
). … P value 0.000 means the null hypothesis is true.
What is considered a significant difference in statistics?
A statistically significant difference is simply
one where the measurement system (including sample size, measurement scale, etc.) was capable of detecting a difference (with a defined level of reliability)
. Just because a difference is detectable, doesn’t make it important, or unlikely.
What is the difference between statistically significant and practically significant?
While statistical significance shows that an effect exists in a study, practical significance shows that the effect is large enough to be meaningful in the real world.
What makes a research finding statistically significant quizlet?
Scientists have decided that
5%
is the cutoff for statistically significant results. This means that in an experiment design, there must be less than a 5% chance that the results occurred by chance. … -is the probability that the study will produce a statistically significant result if the research hypothesis is true.
Which concept is an indicator of statistical significance quizlet?
The statistical significance of any statistics is an indicator of;
the probability that the results are due to chance
.
What does it mean when sample results are not statistically significant quizlet?
what does it mean when sample results are not statistically significant?
the sample result would be somewhat expected if the null hypothesis were true.
What makes a study statistically significant?
Statistical significance is a determination by an analyst that the results in the data are not explainable by chance alone. Statistical hypothesis testing is the method by which the analyst makes this determination. …
A p-value of 5% or lower
is often considered to be statistically significant.
Is p-value statistically significant?
A
p-value less than 0.05 (typically ≤ 0.05) is statistically significant
. … A p-value higher than 0.05 (> 0.05) is not statistically significant and indicates strong evidence for the null hypothesis. This means we retain the null hypothesis and reject the alternative hypothesis.
What is the meaning of significant findings?
This means that a “
statistically significant” finding is one in which it is likely the finding is real, reliable, and not due to chance
. To evaluate whether a finding is statistically significant, researchers engage in a process known as null hypothesis significance testing.
