Answer: chief of which is a gradual decrease in the fertility and hence the productivity of Egypt’s riverside agricultural lands
Explanation:
META ANALYSIS is a research technique for combining the results of all the published and even unpublished results on one question and drawing a conclusion based on the entire set of studies on the topic.
A meta-analysis is a research technique for combining the results of all the published and even unpublished results on one question and drawing a conclusion based on the entire set of studies on the topic.
In many cases, researchers can combine many studies that have been done on one topic, and get an overall big picture view of how an intervention works compared to placebo or compared to another treatment.
It is a quantitative review of several studies with the goal of determining their combined effects on a topic of interest. This can provide more accurate and statistically significant results than just one study alone, and there are several different methods that researchers use to draw conclusions from meta-analyses.
The the benefits of using meta-analysis in your research, is you can perform this analysis in Excel to maximize its usefulness in your own business research studies.
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Answer:
1776
Explanation:
Adam Smith was a Scottish economist, philosopher, and author, and is considered the father of modern economics. Smith is most famous for his 1776 book, "The Wealth of Nations."
Regression is problematic for classical statistical tests that assume independently distributed errors.
Regression is a statistical technique that relates a dependent variable to one or more independent (explanatory) variables. A regression model can indicate whether an observed change in the dependent variable is associated with changes in one or more of the explanatory variables.
Regression comes from "regress", which comes from the Latin word "regresses" – (to return to something). In this sense, regression is a technique that allows us to move from chaotic and difficult-to-interpret data to a clearer and more meaningful model.
Regression analysis predicts a continuous dependent variable from a set of variables. Used when the independent variable. If your dependent variable is dichotomous, you should use logistic regression.
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