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It means, within the laws of statistical analysis, that the statistic occurs more frequently than the baseline number which is considered "random" for the particular application. It happens more frequently than "random" - hence there is, or may be, something "significant" about that.
What else can I help you with?
What does a high F statistic mean?
A high F statistic would results in a lower Sig, or P value, which would indicate that your results are significant.
What is F Statistic?
The F statistic is statistic which may be used to test whether a regression accounts for a statistically significant proportion of the observed variation in the dependent variable.
What does a negative f statistic mean?
the populations have an excess of heterozygotes
How do you find the test statistic for a mean hypothesis test?
You can calculate a result that is somehow related to the mean, based on the data available. Provided that you can work out its distribution under the null hypothesis against appropriate alternatives, you have a test statistic.
Definition of descriptive statistic?
A descriptive statistic describes the characteristics of a known set of data; such as mean, median, mode, range, standard deviation and so forth.
What does a high F statistic mean?
A high F statistic would results in a lower Sig, or P value, which would indicate that your results are significant.
What set of sample characteristics is most likely to produce a significant t statistic?
a small mean difference and large sample variances
What is significant and not significant number?
What is significant and insignificant of a numerical statistic is dependent on the sample/population ratio.
What is a significant number?
In statistics a significant number is a number that passes certain tests that makes the statistic relevant.
What is the significance of the reporting F statistic in an ANOVA analysis?
The reporting F statistic in an ANOVA analysis is significant because it helps determine if there is a significant difference between the means of the groups being compared. It indicates whether the variation between the group means is greater than what would be expected by chance. A high F statistic suggests that there is a significant difference between the groups, while a low F statistic suggests that there is not a significant difference.
What is F Statistic?
The F statistic is statistic which may be used to test whether a regression accounts for a statistically significant proportion of the observed variation in the dependent variable.
Is a confidence interval of 1.02-1.41 significant?
2.4299999999999997
What does the baseball statistic A mean?
It is a defensive statistic that stands for "Assists"
Is 893 significant?
Not in itself. You need to say what it is. Perhaps it's an F statistic?
If it is statistically significant does that automatically mean it is managerially significant?
No, it is not.
What does a high t statistic mean?
Assuming you mean the t-statistic from least squares regression, the t-statistic is the regression coefficient (of a given independent variable) divided by its standard error. The standard error is essentially one estimated standard deviation of the data set for the relevant variable. To have a very large t-statistic implies that the coefficient was able to be estimated with a fair amount of accuracy. If the t-stat is more than 2 (the coefficient is at least twice as large as the standard error), you would generally conclude that the variable in question has a significant impact on the dependent variable. High t-statistics (over 2) mean the variable is significant. What if it's REALLY high? Then something is wrong. The data points might be serially correlated. Assuming you mean the t-statistic from least squares regression, the t-statistic is the regression coefficient (of a given independent variable) divided by its standard error. The standard error is essentially one estimated standard deviation of the data set for the relevant variable. To have a very large t-statistic implies that the coefficient was able to be estimated with a fair amount of accuracy. If the t-stat is more than 2 (the coefficient is at least twice as large as the standard error), you would generally conclude that the variable in question has a significant impact on the dependent variable. High t-statistics (over 2) mean the variable is significant. What if it's REALLY high? Then something is wrong. The data points might be serially correlated.
When is the mean not a valid statistic to describe a set of data?
The population data may be skewed and thus the mean is not a valid statistic. If mean > median, the data will be skewed to the right. If median > mean, the data is skewed to the left.
