The "statistical power" of a research study is the probability that it will produce a statistically significant result if the research hypothesis is true.
Statistical power refers to the probability that an examination will distinguish an impact when there is an impact there to be recognized. On the off chance that statistical power is high, the likelihood of making a Type II error, or finishing up there is no impact when, truth be told, there is one, goes down. Statistical power is influenced essentially by the span of the impact and the extent of the example used to recognize it.
An increase in political participation by minorities.
Had a navy - Both of them.
Did not let women attend school or become citizens - Athens
Only males were educated - Athens
Left the weak babies to die - The correct answer for the test would be Sparta, but the real answer is likely none of them. The famous pit in Sparta where the children were supposedly thrown was examined, and only adult remains were found, no infants. This piece of history is highly debated, though most historians conclude it is false.
Created art, literature, and buildings - Both
