0
What is the p valve if something is statistically significant?
Wiki User
∙ 14y ago
Usually less than 0.05; sometimes less than 0.01 is used for special instances.
Wiki User
∙ 14y ago
Add your answer:
Earn +20 pts
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.
How many significant figures are there in P 6.00?
3 of them.
P -Value in Statistics?
The p value (also sometimes called alpha or probability level) is the percentage chance that the results of a statistical test are due to random error. So a p value of .01, for example, would mean that there is a 1% chance that the results are an error.p is also the cut-off where a test is considered statistically significant. In social sciences, significance is assumed (and therefore the hypothesis supported) when p < .05. Other fields have different cut-offs, and there are times when a researcher may argue for a higher or lower p value.It is important to note that p is only relevant to statistical significance. It has no bearing on the size or practical importance of results. As a common criticism of statistics is that a p value of .049 is "significant" while .051 is not, most researchers rely as much if not more on measures of effect size and practical application than on statistical significance. However, p remains the accepted convention for hypothesis testing.
What is p cubed?
To cube something is to raise to the third power. P cubed would be p^3
If a p-value has a negative number will it be larger than 0.05?
If a p-value is negative then there is something very seriously wrong - either with the probability model or your calculations.If a p-value is negative then there is something very seriously wrong - either with the probability model or your calculations.If a p-value is negative then there is something very seriously wrong - either with the probability model or your calculations.If a p-value is negative then there is something very seriously wrong - either with the probability model or your calculations.
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.
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.
What does a high p value mean?
A P-value of 0.5 means that the probability of the difference having happened by chance is 0.5 in 1, or 50:50. P=0.05 means that the probability of the difference having happened by chance is 0.05 in 1. i.e. 1 in 20. it is the figures frequently quoted as 'statistically significant', i.e. unlikely to have happened by chance and therefore important. Remember the lower the P value, the less likely it is that the difference happened by chance and so higher the significance of the finding. If P is low Null must Go! So a P-value 0.01 is often considered to be 'highly significant'. it means that the difference will only have happened by chance 1 in 100 times. If P-value 0.001 means the difference will have happened by chance 1 in 1000 times, even less likely, but still just possible. considered 'very significant'
Safety device on a water heater?
T&P valve.
What is a significantly significant p-value?
usually 0.05
If something that breathes stops breathing is there something wrong?
<P> <P>If it's a human or animal then undoubtedly yes.</P>
What is the temperature setting for a t and p valve on a water heater?
165
What do P waves do to buildings?
P waves do not cause significant damage to buildings, due to their bigger amplitudes.
How many significant figures are there in P 6.00?
3 of them.
What does 88k on a p stand for?
Something
How do I tell if a T-test is significant with an alpha of 05 and if you already have significance values?
If you already have your p-value, compare it with 0.05. If the p-value is less than an alpha of 0.05, the t-test is significant. If it is above 0.05, the t-test is not significant.
