A number, by itself, cannot be statistically significant. It is necessary to know what the underlying statistical distribution for that number is. That information can be obtained from knowledge of the statistical test being carried out.
You buy a thousand lottery tickets (different numbers) and win nothing. That is statistically significant because the chances of that happening purely by chance are pretty slim. But if the lottery is operated properly, the result is not practically significant. There is nothing that can be done. Tough!
1.004-.016 = 0.988
It is 2/125.
2/125
0.016 = sixteen thousandths.
"Statistically significant" means that the result is beyond the element of chance.
A result is statistically significant if:it is unlikely to have occurred by chance
No, it is not.
if it is unlikely to have happened by chance
No. However, the difference between them can be.
The SPSS is a software package that was created and launched in 1968 by SPSS Inc. To manage and statistically analyse data from social science. IBM later purchased it in 2009. If you are looking for SPSS help, then you need to visit Silverlakeconsult and SPSS-tutor for the best services from their experts.
You buy a thousand lottery tickets (different numbers) and win nothing. That is statistically significant because the chances of that happening purely by chance are pretty slim. But if the lottery is operated properly, the result is not practically significant. There is nothing that can be done. Tough!
There is nothing particularly significant about a sample size of 30.
1.004-.016 = 0.988
This question lacks the details to make any judgement.
Statistical significance is determined by comparing a p-value to a predetermined significance level, often set at 0.05. A p-value of 0.001 indicates a result that is highly statistically significant, as it suggests a less than 0.1% probability that the observed effect is due to chance. Thus, if this p-value is derived from a relevant analysis, it would typically be considered statistically significant.
The answer depends on the context.You cannot use SPSS if you have no computer. The reason is that SPSS is a computer based analysis package.You cannot use SPSS if you have no data. There must be an input into SPSS.You cannot use SPSS if your assumptions are not supported by the data. For example doing a linear regression for a relationship that is clearly non-linear. Technically, you CAN use SPSS but the reults will be wrong.