We arrive to the post-classical period with vikings moving into slavic land and setting the basis for the city of Novgorod in 862, which would later be seen as the beginning of the Russian Empire.
A mixture of greek, slavic and viking cultures shaped Russia in its origins. Princess Olga from Kiev, as well as her grandson Vladimir, had great influence in <u>the conversion and unification of the population under Christianity</u>. This had tremendous impact in the early development and caused church and state to be extremely tightly linked together from the beginning.
<u>Geographical location</u> was a particularly defining element to the start of the Russian history. They were surrounded by waterways which made trading and transportation very easy early on. Being in permanent contact with byzantinum, viking, slavic and greek culture, pushed Russia to absorb all the diversity that made them culturally stronger. However, these very same circumstances made them extremely vulnerable to invasions due to easy access on water.
<u>Around 1240, the mongols invaded a prosperous Russia and managed to control them for over 2 centuries</u>. Eventually, Moscow's church gained enough power and allies to allow Prince Ivan to lead a successful army and begin an independent empire, breaking free from the mongols.
Hope this helps!
It teaches about the history of things and that might be useful for a job
I can answer the cotton gin one it was a invention used to pick the seeds of cotton made it faster for cotton picking in the south
Answer:
A correlation is only a mathematical means of describing the relationship between variables. When it is a positive correlation, it means when the value of one increases, for example, the value of the other variable also increases or when one decreases, so does the other. A negative correlation would show that as one variable increases in value, the other decreases. These relationships are non-causal as you're not manipulating variables to control them to see what is causing this relationship. Sometimes, non-causal covariance (or variables that don't have an effect on each other vary cooincidentally in a pattern-like fashion, when there is actually another variable causing the relationship going on.
Explanation:
In the case of this example, it is doubtful that having money causes you to have a higher grade point average. So while we see an increase in grade point average with those who have high income it could be due to other factors, like people with more money have access to learning tools, tutors and other things that people with less money don't have access to. So it is access to tools, not money that is actually causing a difference. There are likely dozens if not hundreds of other potential confounded variables that could be causing this observation.
Explanation:
development of agriculture in Nepal
