The division between India and Pakistan was mainly due to a. religious issues. At that time in 1947 the subcontinent was divided into a Hindu-majority India and a Muslim majority Pakistan. The exit of the British from the region triggered wars between the groups. These were communities that had once coexisted peacefully with each other in the past.
The answer above is true and correct✅
Answer:
The correct answer is C) stratification is a characteristic of a society rather than a reflection of individual differences.
Explanation:
Sociologists often point out that systems of stratification in the United States systematically favor white men. Sometimes people contest this, pointing to wealthy and powerful black women like Oprah Winfrey or Toni Morrison. A valid counterpoint to this argument is that STRATIFICATION IS A CHARACTERISTIC OF A SOCIETY RATHER THAN A REFLECTION OF INDIVIDUAL DIFFERENCES.
Answer:
Extrapolation
Explanation:
In statistics, extrapolation refers to making an estimate on the future value or behavior of a certain variable based on the current available data. However, extrapolation is subject to a great degree of uncertainty, as it's impossible to account for all the possible variables in the present, and it's next to impossible to know what new variables will affect our calculations in the future. Weather forecasts in particular is an area where errors in the forecasts are very common. This is because making completely accurate predictions is still not possible, mostly because the weather can be affected by countless variables that can't be all measured or accounted for when making a forecast. However, while wrong forecasts can make people angry, forecasters and civil defense authorities have to err on the side of caution. It is better to deal with some people being angry at an unnecessary evacuation, than having people risking their lives in an area affected by a hurricane.
<span>In contrast with correlational research, experimental research allows cause-and-effect conclusions. This is because experimental research limits the number of independent variables to one variable, so we know that the independent variable has an effect on the dependent variable. In correlational research the independent variable is not limited to one, so while we know there is a correlation between the independent and dependent variable, we don't know that it caused it. An example is that on a rainy day we see a people carrying umbrellas. However, the correlation between people carrying umbrellas and the rain does not mean the people carrying the umbrellas caused the rain.</span>
