Feb 15, 2011

What level of Significance and Confidence Levels?

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In the discussion the term statistical significance level (significance level) and level of confidence (confidence level) and is often used.

The level of significance (alpha) indicates the probability or the chance of errors set of researchers in making decisions to reject or support the null hypothesis, or can be defined as well as error rates or error rates are tolerated by the researchers, is caused by the possibility of error in sampling (sampling error .)

The level of significance is expressed in percent and dilambngkan with?. For example, set the level of significance? = 5% or? = 10%. That is, the researcher's decision to reject or support the null hypothesis has a probability of error of 5% or 10%. In some computer-based statistical programs, the level of significance is always included and is written as a Sig. (= Significance), or other computer programs written in the r-value. Value Sig or r - value, as described above, is the value of error probability is calculated or indicate the actual level of error probability. The error rate is used as a basis for making decisions in hypothesis testing.

While the level of trust basically shows how far the level of statistical reliability of sample to estimate the true population parameter and / or the extent of making a decision about the null hypothesis test results believed to be accurate.

In statistics, the level of confidence in its value ranges from 0 to 100% and is represented by 1 -?. Conventionally, researchers in the social sciences often determine the level of confidence ranged from 95% - 99%. If you say the level of confidence used was 95%, this means that the level of statistical certainty sample correctly estimate the population parameter is 95%, or level of confidence to reject or support the null hypothesis correctly was 95%.

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