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).
Answer:
11
Step-by-step explanation:
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Answer:
20%
Step-by-step explanation:
pls give me brainliest
Answer:
y = 2x - 4 (the slope is 2 or 2/1 and the y-intercept is -4)
Step-by-step explanation:
Subtract 14x from both sides of the equation.
This should get you -7y = 28 - 14x.
Then you need to divide by -7 on both sides.
y = -4 + 2x is the result
which you can switch around if you like and get y = 2x - 4
Q - 756 = 612 |add 756 to both sides
Q - 756 + 756 = 612 + 756
Q = 1368
