English High School

Describe the variation in territorial boundaries of persian Empire

Answers

Answer 1

The territorial boundaries of the Persian Empire varied throughout its existence. Initially, the empire was centered around modern-day Iran and extended from the Indus River in the east to the Aegean Sea in the west. It included regions such as Mesopotamia, Egypt, and parts of Greece. This vast empire was the largest in the world at that time.

The Persian Empire, also known as the Achaemenid Empire, was founded by Cyrus the Great in 550 BCE. It expanded rapidly under subsequent rulers such as Darius I and Xerxes I. The empire's territorial boundaries changed as it conquered new lands and faced resistance from rival powers.

At its peak, the Persian Empire encompassed diverse territories, including present-day Iran, Iraq, Afghanistan, Pakistan, Turkey, Egypt, and parts of Greece. These territories were organized into provinces, known as satrapies, each governed by a satrap.

However, the empire faced challenges maintaining control over such vast and culturally diverse regions. Revolts, conflicts, and invasions led to territorial losses. The Persian Empire eventually fell to Alexander the Great in 330 BCE.

In summary, the territorial boundaries of the Persian Empire extended from the Indus River to the Aegean Sea, covering a vast area of the ancient world. However, these boundaries were not fixed and changed over time due to conquests, rebellions, and external threats.

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Related Questions

Correlation and effect
Which is the strongest correlation
1r=-.77 or r=.02
2 r=.37 or r=.12
3 r=.19 or r=.03
4= r=.80 or r=-.41

Answers

The strongest correlation is r = -0.77.

Correlation measures the strength and direction of the relationship between two variables. The absolute value of the correlation coefficient indicates the strength of the correlation, while the sign indicates the direction. In this case, the correlation coefficient -0.77 has a higher absolute value than 0.02, indicating a stronger correlation.

A correlation coefficient of -0.77 suggests a strong negative relationship between the variables. This means that as one variable increases, the other variable tends to decrease. On the other hand, a correlation coefficient of 0.02 indicates a very weak positive relationship or almost no relationship at all.

Comparing the other pairs, a correlation coefficient of 0.37 is stronger than 0.12. Although both coefficients are positive, 0.37 indicates a moderate positive relationship, while 0.12 suggests a weak positive relationship. Similarly, a correlation coefficient of 0.19 is stronger than 0.03. Again, both coefficients are positive, but 0.19 represents a moderate positive relationship compared to the weak positive relationship indicated by 0.03.

Lastly, a correlation coefficient of 0.80 is stronger than -0.41. Both coefficients are relatively high in absolute value, suggesting a strong relationship. However, 0.80 indicates a strong positive relationship, while -0.41 indicates a strong negative relationship.

In summary, among the given pairs, the strongest correlation is observed when r = -0.77, indicating a strong negative relationship between the variables.

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