STUDY. Statistical Significance. An observed difference between two ‘descriptive statistics’ (e.g. mean scores of two groups) that is unlikely
to have occurred
by chance (p. 193.
What does it mean when research results are 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
.
What do researchers mean when they describe a difference as statistically significant?
Statistical significance
refers to whether any differences observed between groups being studied are “real” or whether they are simply due to chance. … Statistical testing starts off by assuming something impossible: that the two groups of people were exactly alike from the start.
What does it mean that the difference was statistically significant?
Statistical significance is the
likelihood that the difference in conversion rates between a given variation and the baseline
is not due to random chance. … It also means that there is a 5% chance that you could be wrong.
What does it mean if research is 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.
How do you know if data is statistically significant?
The level at which one can accept whether an event is statistically significant is known as the significance level. Researchers use a test statistic known as the p-value to determine statistical significance:
if the p-value falls below the significance level
, then the result is statistically significant.
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.
What does significance at the .05 level mean quizlet?
What does a significance level of . 05 mean? • Is
the probability of obtaining a particular value for a test statistic when the null hypothesis is true
. • An alpha of .05 for a dataset means that, if the null hypothesis were true, then the data would be unusual based on sampling variability alone.
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 does significance at the .05 level mean?
For example, a significance level of 0.05 indicates
a 5% risk of concluding that a difference exists when there is no actual difference
.
What does it mean if something is 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).
How do you explain significant difference?
In principle, a statistically significant result (usually a difference) is a
result that’s not attributed to chance
. More technically, it means that if the Null Hypothesis is true (which means there really is no difference), there’s a low probability of getting a result that large or larger.
How do you tell if there is a significant difference between two groups?
The determination of whether there is a statistically significant difference between the two means is reported as
a p-value
. Typically, if the p-value is below a certain level (usually 0.05), the conclusion is that there is a difference between the two group means.
What can you say about a study that has statistically significant results?
Measuring Statistical Significance: Understanding the P Value (Significance Level) 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 is the meaning of significant difference in research?
A Significant Difference between two groups or two points in time means that
there is a measurable difference between the groups and that, statistically, the probability of obtaining that difference by chance is very small
(usually less than 5%).
How do you know if t test is statistically significant?
Compare the P-value to the α significance level stated earlier. If it is less than α, reject the null hypothesis. If
the result is greater than α, fail to reject the
null hypothesis. If you reject the null hypothesis, this implies that your alternative hypothesis is correct, and that the data is significant.
