Answer:
We will have <u>infinite solutions </u>to the system of linear equations.
Explanation:
Well, when we have two lines with the <u>same slopes and the same y-interception</u>, both of them <u>are overlapped, </u>so we will have <u>infinite solutions </u>to the system of linear equations.
This kind of system is called <u>dependent system.</u>
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To answer, evaluate the power of 10 in the given choices. If it is positve, move the decimal n places to the right. If it is negative, move the decimal n corresponding places to the left. From all the choices given, only the choices D, E, and F will give us the correct answer.
The statement 'establishing a high critical value in a statistical test is associated with more confidence' is TRUE.
<h3>What is statistical significance?</h3>
The statistical significance is a arbitrary value used to indicate that data collected can be used to confirm (or reject) my working hypothesis.
The most widely used value to measure the statistical significance is the p threshold.
In conclusion, the statement 'Establishing a high critical value when calculating the results of a statistical test means that a researcher will have more confidence in finding significance than when a lower critical value is established' is TRUE.
Learn more about statistical significance here:
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Answer:
There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause- effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences.
Explanation:
Quantitative research is defined as a systematic investigation of phenomena by gathering quantifiable data and performing statistical, mathematical, or computational techniques.
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