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This is a rather confused question.The first issue is the assumption that there is an independent variable and a dependent variable. If your data comprise measurements of the height and mass (weight) of school children, which one is the independent variable? The answer is: neither. It is most likely to be age.A second issue is the very serious danger of confusing correlation with causality. Yes, statistics may show high correlation but that does not imply causality. A simplistic example from economics: correlation between companies with large profits and large investment in machinery. Profitability is required to enable the company to finance investment. Proper investment helps the company become more competitive and so generate more profits.Finally, consider the two variables X and Y. X is uniform on the interval [-p, p]; Y = X^2. The regression coefficient between X and Y is 0 but the relationship is far from non-existent. You need some educated guesses to find the correct statistics to make educated guesses!
Were roman shopkeepers educated Were roman shopkeepers educated
The hypothesis is an educated guess.
An educated guess is a theory or hypothesis. Not accurate, based only on the information available.
hypothesis
Inferential Statistics
If at least one of the variables has been measured on an ordinal or ratio scale then the pairs of values can be plotted and the resulting graph examined for a relationship.If neither variable has been measured on one of these kinds of scales then the pairs of values can be arrayed in a contingency table and it can be examined or tested for a relationship.
This is a rather confused question.The first issue is the assumption that there is an independent variable and a dependent variable. If your data comprise measurements of the height and mass (weight) of school children, which one is the independent variable? The answer is: neither. It is most likely to be age.A second issue is the very serious danger of confusing correlation with causality. Yes, statistics may show high correlation but that does not imply causality. A simplistic example from economics: correlation between companies with large profits and large investment in machinery. Profitability is required to enable the company to finance investment. Proper investment helps the company become more competitive and so generate more profits.Finally, consider the two variables X and Y. X is uniform on the interval [-p, p]; Y = X^2. The regression coefficient between X and Y is 0 but the relationship is far from non-existent. You need some educated guesses to find the correct statistics to make educated guesses!
A child should be educated so they can learn about the world and how to become more independent.
The relationship between theories, concepts, and hypothesis is that a theory is a model of how concepts are related, the concepts are categorical ideas that are represented by our variables and hypothesis are predictions of how concepts are related, often deduced from a theory.
Slyly hint to him what he should be doing
inferential statistics
Not really, but they can women are moving up in the world and becoming more independent and more educated.
The three parts of a hypothesis are to identify the problem, make an educated guess and identify the major variables. A hypothesis is the description of a scientific question.
German women are as independent and well educated as their counterparts in other European countries. Let's get away from stereotyping.
Jefferson believed that a strong democracy depended on well educated students
1) either he is independent he haves gave to both political parties. butt before he was democrat butt after the treatment he got form the Bill Clinton administration he switch parties. 2) My educated guess is that he's a moderate independent voter. He has an open mind and is very educated which makes him more liberal, but hes a businessman which makes him vote conservative. My guess is just good as yours.