first-generation college student means that you are the first person in your immediate family to attend college
Answer:
I and III only, decrease in productivity does indicate production loss can cause harm across the chain of trade and operation. It is important to the investment and to the market each number of hours they work as this tells us if the market is stable. For example financial market contributes output 40% major cities and over 4% for the whole country. Where a decrease in labor force occurs this does not tell us there is a problem with cash flow. It is usually services that suffer with decline in productivity. An example in behavior patterns in populous in manufacturing worldwide, show unhappiness in managerial levels compared to management roles for women in poorer countries, where a decrease in productivity could make this situation worse. a decrease in hours would affect more economically for both poorer countries and financial market output countries which dominate the world today nationally combined. This also includes work hours with adjoining countries for 40% of the world being farming and smaller scientific contributions that show and tell us they are more happier in their work and longer hour patterns. One example of this is within contentment levels found in discrete survey data with both phd Degree Masters etc qualified all in which showed each percentage for managers less in the broader markets of customer service and manufacturing. I and III affects all.
Explanation:
The total number of people that will be selected is 14.
Explanation:
In the case of stratified random sampling, we first need to split the population into several strata and then select a sample from each. For a given question, the solution type is
Sample size of strata = (Scale of whole sample by population size) multiply strata size
= (20 by 300) multiply 210
After we have resolved, 14 or 14 persons will be chosen.
One value is that here, as we split all the data into strata and then pick samples from them so that they can be used as a protection against unnecessary samples and to have more precise sample measurements. Here, because we needed samples from the population that provided yes and no opinion so that it is easier to use stratified sampling method then if we use simple random sampling then we can use those samples that did not offer an opinion. But since we're not using this form, we can stop it.
