filmov
tv
P-Value = .000??? What to do when a p-value of .000 is reported
Показать описание
This video explains what a p-value of .000 means and how to determine if the result is statistically significant.
What is the P value in statistics?
Video Transcript: In this video I want to take a look at a question actually that I get a lot from people and that is when they get a p-value in their computer output reported as .000 and often they're concerned that maybe they made an error or they're not sure what that means. So I wanted to cover this topic in this video. So did something go wrong when you have a p reported of .000, like say in SPSS? Actually, not at all. This is actually quite good news if you see that in your computer output. A reported p of .000 in computer output really just means that the results were highly significant. Or, in other words, they're very unlikely to have occurred by chance alone. So here's an example of a p reported as .000 in computer output. Now it's important to note that the true p value is not really .000. What happened is that the actual p-value was less than .0005, and using built-in rounding rules, it was just rounded down and reported as .000 by SPSS in this example here. So whenever you see a p-value like the one reported above, just think that p is very small, technically less than .0005. In this case, we typically will report our results when we see a p of .000, as p is less than .001. The p of .000 again means that the results are highly significant. However, reporting p as .000 is generally frowned upon, because it suggests there was absolutely no or zero chance of getting the results if the null hypothesis was true. But there is always some chance of getting the results if the null is true, however small or unlikely the chance may be. This is why we typically report p is less than .001, instead of p is equal to .000. So if you're making a poster or presenting your results or you're a conference or what have you, I really would discourage you to write p equals .000; instead right p is less than .001. And then that will communicate that you understand that a p-value never really is exactly zero, because there's always some chance of getting the given results if the null was true, however unlikely that chance may be. OK that's it. Thanks for watching.
What is the P value in statistics?
Video Transcript: In this video I want to take a look at a question actually that I get a lot from people and that is when they get a p-value in their computer output reported as .000 and often they're concerned that maybe they made an error or they're not sure what that means. So I wanted to cover this topic in this video. So did something go wrong when you have a p reported of .000, like say in SPSS? Actually, not at all. This is actually quite good news if you see that in your computer output. A reported p of .000 in computer output really just means that the results were highly significant. Or, in other words, they're very unlikely to have occurred by chance alone. So here's an example of a p reported as .000 in computer output. Now it's important to note that the true p value is not really .000. What happened is that the actual p-value was less than .0005, and using built-in rounding rules, it was just rounded down and reported as .000 by SPSS in this example here. So whenever you see a p-value like the one reported above, just think that p is very small, technically less than .0005. In this case, we typically will report our results when we see a p of .000, as p is less than .001. The p of .000 again means that the results are highly significant. However, reporting p as .000 is generally frowned upon, because it suggests there was absolutely no or zero chance of getting the results if the null hypothesis was true. But there is always some chance of getting the results if the null is true, however small or unlikely the chance may be. This is why we typically report p is less than .001, instead of p is equal to .000. So if you're making a poster or presenting your results or you're a conference or what have you, I really would discourage you to write p equals .000; instead right p is less than .001. And then that will communicate that you understand that a p-value never really is exactly zero, because there's always some chance of getting the given results if the null was true, however unlikely that chance may be. OK that's it. Thanks for watching.
0:02:41
P-Value = .000??? What to do when a p-value of .000 is reported
0:11:21
p-values: What they are and how to interpret them
0:01:57
Write p-value as p less than 0.001 instead of p =.000. Why?
0:06:35
p-Value (Statistics made simple)
0:01:59
Statistical Significance, the Null Hypothesis and P-Values Defined & Explained in One Minute
0:07:58
P-values and significance tests | AP Statistics | Khan Academy
0:07:41
What Is A P-Value? - Clearly Explained
0:02:58
What is The p-Value and The Alpha-Value?
0:13:24
p-values - a deeper understanding | alpha | t-statistics
0:08:04
P-Values Explained | P Value Hypothesis Testing
0:00:25
What a P-value tells you in Statistics…
0:26:00
What are p-values?? Seriously.
0:08:11
p-value - easily explained with an example
0:11:05
What is P-value in hypothesis testing | P-Value Method Hypothesis Testing | P value in Statistics
0:03:21
How to Calculate P value in Excel | Perform P Value in Microsoft Excel | Hypothesis Testing
0:08:08
when p-values are not reliable
0:02:14
What's a p-value?
0:00:59
STATISTICS Concepts for Data Science pt.6 - P-Value
0:07:51
Medical Statistics - Part 11: The p-value
0:04:07
Is p less than .05? P-Value; Significance Testing; Hypothesis Testing; Reject Null Hypothesis
0:05:44
What is a p-value?
0:10:31
What is a P Value? What does it tell us?
0:05:21
p value | Hypothesis testing
0:25:15
How to calculate p-values
Комментарии