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:
2 miles per hour
Step-by-step explanation:
Answer:
1 pound of turkey is 3 dollars
Step-by-step explanation:
Answer: B
Step-by-step explanation: since he is writing 45 words per minute, that means your releases adding. if you were to do a, you would just add the words typed with minutes. B will add 45 over and over again for however many minutes. repeated addition is the same as multiplication, so the answer is B.