If the outcome is below or equal to 0.05, then it is statistically significant; above is not.
statistical significance
See Terrell, C. D. (1982). Significance tables for the biserial and point biserial. Educational and Psychological Testing, 42, 975-981.
The critical value for a 0.02 level of significance, denoted as α = 0.02, in a statistical test corresponds to the point on a distribution that separates the critical region (rejection region) from the non-critical region. To find the critical value, you would consult a statistical table or use a statistical calculator based on the specific test you are conducting (e.g., z-table, t-table, chi-square table). The critical value is chosen based on the desired level of significance, which represents the probability of rejecting the null hypothesis when it is actually true.
A non-directional research hypothesis is a kind of hypothesis that is used in testing statistical significance. It states that there is no difference between variables.
what is the significance of statistical investigation to management information?
It represents unity.
There is no statistical significance in the result.
look for a paper being published in "The Oncologist" later this year (2008)
standard deviation
The level of significance; that is the probability that a statistical test will give a false positive error.
If the outcome is below or equal to 0.05, then it is statistically significant; above is not.
statistical significance
Normalize may refer to the term in mathematical logic or theoretical computer science, it may refer to statistical technique for making two distributions identical. It may also be removing statistical errors from measured data pieces.
Statistical significance means that you are sure that the statistic is reliable. It is very possible that whatever you conclusion or finding is, it may not be important or it not have any decision-making utility. For example, my diet program has a 1 oz weight loss per month and I can show that is statistically significant. Do you really want a diet like that? It is not practically significant
The z-score is a statistical test of significance to help you determine if you should accept or reject the null-hypothesis; whereas the p-value gives you the probability that you were wrong to reject the null-hypothesis. (The null-hypothesis proposes that NO statistical significance exists in a set of observations).
Standard deviation of 0 can only be attained if all observations are identical. That is, the variable in question has just one possible value so statistical considerations are irrelevant.