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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<span>increased from 10% in 1976 to 20% in 2006
These type of women usually choose not to have children on their own due to time (if those women choose to not have children in order to pursue a certain lifestyle or career) or genetic factors (if those women had a physiological condition where they can't have children or having one will expose them to a certain amount of risk)
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Answer:
A Tale Told in Ten Blocks
