Answer:
Correct option: (D).
Step-by-step explanation:
A null hypothesis is a hypothesis of no difference. It is symbolized by <em>H₀</em>.
A Type I error is the probability of rejection of the null hypothesis of a test when indeed the the null hypothesis is true.
The type I error is also known as the significance level of the test.
It is symbolized by P (type I error) = <em>α</em>.
In this case the researcher wants to determine whether the absorption rate into the body of a new generic drug (G) is the same as its brand-name counterpart (B) or not.
The hypothesis for this test can be defined as:
<em>H₀</em>: The absorption rate into the body of a new generic drug and its brand-name counterpart is same.
<em>Hₐ</em>: The absorption rate into the body of a new generic drug and its brand-name counterpart is not same.
The type I error will be committed when the null hypothesis is rejected when in fact it is true.
That is, a type I error will be made when the the results conclude that the absorption rate into the body for both the drugs is not same, when in fact the absorption rate is same for both.
Thus, the correct option is (<em>D</em>).
E, the rest are all linear functions
Step-by-step explanation:
Following the order of operations we would first divide -30 by 5 which would give us -6
-6 + (-30) ÷ 5 - (-2)
From here we can add -6 + -6 = -12
-6 + (-6) - (-2)
When subtracting a negative number, the two negatives changes it to a positive. (-12) - (-2) = (-12) + 2 which would give us -10
(-12) - (-2) = -10
~Hope this helps!~
Do you know how to add fractions? let me know if u dont
