Answer:
Statistically significant.
Explanation:
The common example is tossing a coin.
The probability of tossing a head is [tex]\frac{ 1}{ 2} = 50 \%[/tex].
The probability of tossing five heads in a row is [tex](\frac{1}{2})^{5} = \frac{1 }{ 32} = 3.1 \%[/tex].
p < 5 %, so this is a statistically significant result.
if someone tossed five successive heads, I would start thinking that the coin was loaded.
Answer:
The result is said to be stastically significant
Explanation:
The result is stastically significant typically if the significance level of the study is 5% or much lower. It is the minimum level of significance of a result but usually this value depends on the field of study.
Further explanation:
Statistical significance is a concept that describes a result obtained for a particular experiment that seems not occurred due to random chance. The minimum value that we can give for the determination of the statistical significance is the significance level (we can denote it by α) and usually it is 5% or lower than that.
For example, we can perform an experiment and if we can get about 95% significance level for the final result, that means we are 95% sure that the result is real (this means it assures that the result is not caused by random chance). There, another detail is given; there is a 5% chance that the result can be wrong.
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Keywords:
statistical significance, significance level, random chance.
