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this is when there is a 95% chance that a discovery is wrong.Science does not try to prove something is right rather it tries to prove there is a high margin of being wrong.

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what is the significance of statistical investigation to management information?

Practical significance refers to the relevance of the study to the question at hand. Statistical significance refers to results of a computation to determine whether a certain event is due to chance.

It represents unity.

look for a paper being published in "The Oncologist" later this year (2008)

Statistical significance refers to when a statistical assessment of observations reveals a pattern rather than random chance. In simpler terms it means when well observing or recording a set of data you recognize that somethings happens all or most of the time rather than by random.

There is no statistical significance in the result.

The level of significance; that is the probability that a statistical test will give a false positive error.

statistical significance

If the outcome is below or equal to 0.05, then it is statistically significant; above is not.

An econometric model is a way of determining the strength and statistical significance of a hypothesized relationship.

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.

See Terrell, C. D. (1982). Significance tables for the biserial and point biserial. Educational and Psychological Testing, 42, 975-981.

David Salsburg has written: 'The use of restricted significance tests in clinical trials' -- subject(s): Clinical trials, Methods, Probability theory, Randomized Controlled Trials, Statistical Models, Statistical methods, Statistics 'The Lady Tasting Tea' -- subject(s): History, Science, Statistical methods 'Statistics for toxicologists' -- subject(s): Experimental Toxicology, Statistical methods, Toxicology

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.

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.

1. Check signs and Magnitude 2. Compute Elasticity Coefficients 3. Determine Statistical Significance

Charles E. Armstrong has written: 'Testing cycles for statistical significance' -- subject(s): Time-series analysis

Statistical methods is the tool used to create and manage the different types of statistical data.

A statistical hypothesis test will usually be performed by inductively comparing results of experiments or observations. The number or amount of comparisons will generally dictate the statistical test to use. The researcher is basically making a statement and assuming that it is either correct (the hypothesis - H1) or assuming that it is incorrect (the null hypothesis - H0) and testing that assumption within a predetermined significance level - the alpha.

"While Hollywood freudiantly insists that polygamy was Mormonite, hypersexualized, and abusive, there is no historical record arguing statistical significance to any of these beliefs."

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.

A statistical organisation does comparing probability.A statistical organisation does comparing probability.A statistical organisation does comparing probability.A statistical organisation does comparing probability.

The value specified is usually the maximum value that the test statistic can take for a given level of statistical significance when the null hypothesis is true. This value will depend on the parameter of the chi-square distribution which is also known as its degrees of freedom.The value specified is usually the maximum value that the test statistic can take for a given level of statistical significance when the null hypothesis is true. This value will depend on the parameter of the chi-square distribution which is also known as its degrees of freedom.The value specified is usually the maximum value that the test statistic can take for a given level of statistical significance when the null hypothesis is true. This value will depend on the parameter of the chi-square distribution which is also known as its degrees of freedom.The value specified is usually the maximum value that the test statistic can take for a given level of statistical significance when the null hypothesis is true. This value will depend on the parameter of the chi-square distribution which is also known as its degrees of freedom.