Social Studies, 15.04.2020 00:49 jacobhinshaw7642

A(n)describes the strength of an association between variables, and in correlations it is typically measured by the. The termrefers to the conclusion a researcher makes on whether or not results were due to chance, and it is measured by the.

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Answer from: alexis05evans

effect size, r-values, statistical significance, p-value

Explanation:

An effect size describes the strength of an association between variables, and in correlations it is typically measured by the r-values. The larger the r-value, the stronger the relationship between the two variables being measured in the research. The term statistical significance refers to the conclusion a researcher makes on whether or not results were due to chance, and it is measured by the p-value.

Answer from: nickames202otpo7q

effect size; r value; statistical significance; p value.

Explanation:

Okay, let us first fill in the gap in the question above, note that the words in the bracket are the missing words in the question above.

"A(n) (effect size) describes the strength of an association between variables, and in correlations it is typically measured by the (r-value). The term (statistical significance) refers to the conclusion a researcher makes on whether or not results were due to chance, and it is measured by the (p-value)''.

In order to be able to solve this question one must understand statistics very well. The EFFECT SIZE is used to show the relationship between two groups or parameters and it focuses more in the difference between the size of these two groups or variables or parameters such as the Cohen's d. The effect size can be measure by r value.

STATISTICAL SIGNIFICANCE is the measurement how significant the outcome of an experiment is that is whether the outcome of an experiment is going to be effective or not and it is measured with p-value.

Answer from: Quest

answer is b.shrapnel

Answer from: Quest

every society, in order to meet the needs of it's people, has to answer three basic questions:

- what should we produce?

- how should we produce it?

- for whom should we produce it?

this questions must be answered in order to, option b, aid in production decisions.

every country can't produce everything, no matter how rich their land is. it may be a matter of technology, resources or geographical conditions. so, these three questions must be resolved in order to get the most of the production of each land.

hope this !

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