What does it mean that the results are statistically significant for this study? If a result is statistically significant, that means
it’s unlikely to be explained solely by chance or random factors
. In other words, a statistically significant result has a very low chance of occurring if there were no true effect in a research study.
What does it mean when research results are statistically significant?
A study result is statistically significant
if the p-value of the data analysis is less than the prespecified alpha (significance level)
. In our example, the p-value is 0.02, which is less than the pre-specified alpha of 0.05, so the researcher concludes there is statistical significance for the study.
What does it mean if we say this is statistically significant?
How do you know if results are statistically significant?
What does it mean to find statistically significant results quizlet?
What is an example of statistical significance?
Here’s an example of that:
A study found that a certain dietary supplement lowered the risk of getting a certain minor ailment from 2 in a 1000 (0.2%) down to 1 in a 1000 (0.1%)
. The sample size of the study was 30,000, so the difference between 0.2% and 0.1% is statistically significant (at 95% confidence).
Does statistically significant means reject null hypothesis?
If there is less than a 5% chance of a result as extreme as the sample result if the null hypothesis were true, then the null hypothesis is rejected
. When this happens, the result is said to be statistically significant .
Why is statistical significance important?
Statistical significance
helps you determine the level of risk you’re willing to accept
, and you can balance the desire for accuracy with the resources you have available.
What does it mean when results are not statistically significant?
This means that the results are considered to be „statistically non-significant‟
if the analysis shows that differences as large as (or larger than) the observed difference would be expected to occur by chance more than one out of twenty times (p > 0.05)
.
What does it mean to not be statistically significant?
This means that the results are considered to be „statistically non-significant‟
if the analysis shows that differences as large as (or larger than) the observed difference would be expected to occur by chance more than one out of twenty times (p > 0.05)
.
What does it mean when a test is statistically significant Quizizz?
How can the results of a study be statistically significant but not meaningful?
What is defined by the significance level of a hypothesis test?
Significance Levels. The significance level for a given hypothesis test is
a value for which a P-value less than or equal to is considered statistically significant
. Typical values for are 0.1, 0.05, and 0.01. These values correspond to the probability of observing such an extreme value by chance.
What’s the P value in statistics?
The p-value, or probability value,
tells you how likely it is that your data could have occurred under the null hypothesis
. It does this by calculating the likelihood of your test statistic, which is the number calculated by a statistical test using your data.
What is the 5 level of significance?
The level of significance is taken at
0.05 or 5%
. When the p-value is low, it means that the recognised values are significantly different from the population value that was hypothesised in the beginning. The p-value is said to be more significant if it is as low as possible.
What does p 0.05 mean in statistics?
P > 0.05 is
the probability that the null hypothesis is true
. 1 minus the P value is the probability that the alternative hypothesis is true. A statistically significant test result (P ≤ 0.05) means that the test hypothesis is false or should be rejected. A P value greater than 0.05 means that no effect was observed.
