Government central-planning ministries are a prominent feature of postwar Soviet communism.
So the best answer is B. Easter European cities like Minsk, Kiev, Bucharest, and Warsaw all found themselves within the Soviet Union, or within the Soviet sphere of influence, after the war. Since many of these cities had also suffered widespread destruction during the war, they required rebuilding, which was often undertaken according to the socialist ideals promoted by Soviet communism.
A is wrong because, although many Latin American countries experienced aggressive communist insurgencies or takeovers, the communist presence in Latin America rarely resulted in the <span>centralized re-planning of cities.
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C is wrong because North America had no meaningful communist presence, and certainly no communist-guided central planning of cities. Same goes for Western Europe, which rules out D.
Answer:
I believe the ootion is C
Explanation:
Solar energy plants take up a lot of land space and can destroy animals habitats. Geothermal is bad because it gives of CO2 which can lead to global warming. Finally, wind power plants (turbines) also take up a lot of space and can destroy animals habitats. They can even be put in the water and destroy marine life.
Answer:
The mean of each sampling distribution of individual proportions is the population proportion, so the mean of the sampling distribution of differences is the difference in population proportions.
Answer: There is a weak, positive correlation between the weight Lucy lost and the number of weeks.
Explanation:
The correlation coefficient is used to measure the relationship between two variables in terms of how they move in relation to one another.
If two variables are said to have a positive correlation, it means that they increase at the same time and decrease at the same time for example, there is a positive correlation between the amount of food a family buys and how much money they have because the more money they have, the more food they buy.
Negative correlations are the reverse for instance Ice cream sales and cold temperatures. The colder it is, the less people buy ice cream.
The Correlation coefficient ranges from -1 to +1 with +1 (-1) meaning that the variables are perfectly positively(negatively) correlated. The closer the value is to 0, the weaker the correlation.
Generally, for a correlation coefficient between the numbers 0 and +0.3, there is a weak positive correlation.
With a correlation coefficient of 0.0502, there is therefore a weak, positive correlation between the weight Lucy lost and the number of weeks.
