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What is a statistically significant?
if it is unlikely to have happened by chance
What does it mean for the findings of a statistical analysis of data to be statistically significant?
Data is statistically significant if the p (probability) value is below a certain level (ex: 5% or 1%). The p value describes how often one would receive the results they got if left to chance alone. The lower the p value, the less likely it is that your results were due to chance and is stronger evidence against the null hypothesis. Also important to keep in mind is that just because something is statistically significant does not mean it is practically significant.
Which of these is closest to what you mean to statistically significant?
Statistically significant is the term used to define when two data are distinct enough in value as to be considered different values. To determine whether two data are close enough in value or distinct enough in value to be considered the same or different, usually you have to do a p-test or a t-test, depending on the type of data that you are looking at. Then confer with the corresponding chart for the test that you did to see whether or not the data is statistically significant.
Can paired means be statistically significant?
No. However, the difference between them can be.
Is it possible for the results of the study to be of practical importance even though they are not statistically significant?
Yes!
If it is statistically significant does that automatically mean it is managerially significant?
No, it is not.
Result being Statistically Significant or not statistically significant?
"Statistically significant" means that the result is beyond the element of chance.
What is a statistically significant result?
A result is statistically significant if:it is unlikely to have occurred by chance
What is a statistically significant?
if it is unlikely to have happened by chance
What does it mean for the findings of a statistical analysis of data to be statistically significant?
Data is statistically significant if the p (probability) value is below a certain level (ex: 5% or 1%). The p value describes how often one would receive the results they got if left to chance alone. The lower the p value, the less likely it is that your results were due to chance and is stronger evidence against the null hypothesis. Also important to keep in mind is that just because something is statistically significant does not mean it is practically significant.
What does it mean for the finding of a statistical analysis of data to be statistically significant?
Data is statistically significant if the p (probability) value is below a certain level (ex: 5% or 1%). The p value describes how often one would receive the results they got if left to chance alone. The lower the p value, the less likely it is that your results were due to chance and is stronger evidence against the null hypothesis. Also important to keep in mind is that just because something is statistically significant does not mean it is practically significant.
Statistically speaking how would I say the average age of a person in the U.S. is 22?
When people refer to an average, statisticians assume that they are referring to the arithmetic mean. That is, the sum of the individual observations divided by the number of observations. There are, in fact, several types of mean of which the arithmetic is just one (albeit the most commonly used).So statistically speaking, to be precise, you should probably say that the "arithmetic mean of a person in the U.S. is 22 years of age".
Can paired means be statistically significant?
No. However, the difference between them can be.
Which of these is closest to what you mean to statistically significant?
Statistically significant is the term used to define when two data are distinct enough in value as to be considered different values. To determine whether two data are close enough in value or distinct enough in value to be considered the same or different, usually you have to do a p-test or a t-test, depending on the type of data that you are looking at. Then confer with the corresponding chart for the test that you did to see whether or not the data is statistically significant.
Is .016 statistically significant in spss?
A number, by itself, cannot be statistically significant. It is necessary to know what the underlying statistical distribution for that number is. That information can be obtained from knowledge of the statistical test being carried out.
How can a result be described as statistically significant but not practically significant?
You buy a thousand lottery tickets (different numbers) and win nothing. That is statistically significant because the chances of that happening purely by chance are pretty slim. But if the lottery is operated properly, the result is not practically significant. There is nothing that can be done. Tough!
What is statistically significant about n equals 30 sample size?
There is nothing particularly significant about a sample size of 30.
