A statistically significant result indicates that your findings are not likely due to chancea statistically significant result indicates that your findings are not likely due to chance.this is a true statement.
Statistical significance provides a cut-off value for determining whether a sample's results and observable effects are primarily due to screening and accurately represent the characteristics of the study population.This significance threshold is often 0.05-5%, regardless of the need for documentation. This is because the implications of our findings recognize the importance of both Type I and Type II errors. When we say that a result is "statistically significant", we mean it is statistically significantly different from 0.
There is usually a null hypothesis that the parameter is equal to zero. Through statistical analysis, tests can be performed to prove that such parameters are statistically significantly different from zero. Therefore, you should know that this value is statistically significantly different from 0 when viewed in text.
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That’s how it is nowadays
South Africa's total unemployment rate is at 25% but this number is a lot higher in the younger population - as high as 63%!
The contributory factors are:
-lack of proper education and lack of highly skilled workers means that there is a surplus of unskilled workers
-influences of apartheid (this contributes to the low level of education among others)
- slow economic growth
Is there more to this question if not I can figure it out
