Answer:
Type I error
Step-by-step explanation:
In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion).
<h3>
Step-by-step explanation:</h3>
Yes, it's true sometimes we don't use negative value of 'x'.
So, we conclude it's True.
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Hope it help you</h3>
Answer:
True
Step-by-step explanation:
To find the unit rate, what we do is to divide the preceding value in the ratio by the succeeding value in the ratio.
Thus, we have;
5 divided by 1/7
= 5 * 7/1
= 35
This is the unit rate of the given ratio
