Answer:
5% significance level indicates the level of risk, error or exactness. It guides our conclusion on which hypothesis a data supports
Level of significance defined as the possibility, probability or chances of rejecting a null hypothesis when it's results is valid.
For every statistical hypothesis, the result has propency or likeliness to be exact or not. That is, it has chances of containing a type of error referred to as level of significance.
Now, a 5% significance level implies that, the statistical results or analysis has 95% reliability or confidence level.
In other words, a 5% significance level indicates that a result has 0.05 RISK level.
The level of significance is needed for every hypothetical test because it indicates validity of each hypothesis data. It gives confidence such that one is at peace to know the hypothesis a particular data supports
Answer:
Step-by-step explanation:
By Pythagoras Theorem:
A rational number between the two given ones is -0.455, such that:
-0.45 > -0.455 > -0.46
<h3>How to find a rational number between the two given ones?</h3>
A rational number is any number that can be written as a quotient between two integer numbers.
Particularly, any number with a finite number of digits after the decimal point is also a rational number.
So to find a rational number between -0.45 and -0.46 we could se:
-0.455, such that:
-0.45 > -0.455 > -0.46
Learn more about rational numbers:
brainly.com/question/12088221
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