0
Because there are so many things that happen - some predictably, some coincidentally - that all fall into the category of random "chance" - it's this way one time, that way the next. Statistics are carefully calculated to have a cut-off point, below which is considered to be within the category of "random". Above that figure, it is more frequent than "random" can explain. At that point, it becomes - to a greater or lesser degree - "statistically significant". A simplistic example: If a child has a school year 180 days long, and the child is "home sick" seven out of those 180 days, that is within the realm of random. If the child is "home sick" 57 of those 180 days, that is "statistically significant".
What else can I help you with?
Significance of statistical investigation to management information?
what is the significance of statistical investigation to management information?
Why is statistical significance important in an experiment?
Because it allows us to recognize that inference is not perfect and no matter how much confidence we have in the outcome, there is always a chance we may be wrong.
What is the difference between clinical significance and statistical significance?
look for a paper being published in "The Oncologist" later this year (2008)
What is a Alpha Value?
The level of significance; that is the probability that a statistical test will give a false positive error.
How does standard deviation of 0 affect statistical significance?
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.
Significance of statistical investigation to management information?
what is the significance of statistical investigation to management information?
What is the significance of the lambda value in statistical analysis?
The lambda value in statistical analysis is significant because it helps determine the level of transformation needed to make data more normally distributed, which is important for accurate statistical testing and interpretation of results.
What is the statistical Significance of three in religion?
It represents unity.
What is the significance of the quadratic degree of freedom in statistical analysis?
The quadratic degree of freedom in statistical analysis is important because it helps determine the variability and precision of the data being analyzed. It allows researchers to make more accurate conclusions about the relationships between variables and the overall significance of their findings.
Why are the levels of variables important in statistical analysis?
levels of variables important in statistical analysis?
What is the difference between statistical significance versus practical significance?
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
Why is binomial distribution important?
Binomial distribution is the basis for the binomial test of statistical significance. It is frequently used to model the number of successes in a sequence of yes or no experiments.
Why is statistical significance important in an experiment?
Because it allows us to recognize that inference is not perfect and no matter how much confidence we have in the outcome, there is always a chance we may be wrong.
F-test is less than 1?
There is no statistical significance in the result.
What is the significance of statistical ensemble in the field of physics?
Statistical ensemble is important in physics because it allows us to describe the behavior of a large number of particles or systems by studying their average properties. This approach helps us make predictions about the behavior of complex systems and understand the underlying principles of statistical mechanics.
What is the significance of the Matsubara summation in the field of statistical mechanics?
The Matsubara summation is important in statistical mechanics because it allows for the calculation of thermodynamic properties of systems at finite temperature. It is used to analyze the behavior of particles in a system and understand how they interact with each other.
What is the significance of the phi-hat symbol in statistical analysis?
The phi-hat symbol in statistical analysis represents the sample estimate of the population parameter phi. It is important because it helps researchers make inferences about the population based on the data collected from a sample.
