The type of error that occurs if you fail to reject h0 when, in fact, it is not true is a type 2 error.
<h3>What is a type 2 error?</h3>
Type 2 error is when the null hypothesis is not rejected even though it is not false. Type 1 error is when the null hypothesis is rejected when it is true. A type 2 error leads to a false negative which is also known as an error of omission.
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Step 1: both sides subtract 50: x²+18x=-41
step 2: both sides add (1/2 of 18)², which is 81: x²+18x+81=-41+81
step 3: make the square: (x+9)²=40
step 4: square root both sides: x+9=√40 or x+9=-√40
simplify: x=-9+2√10 or x=-9-2√10
The answer is two places to the right. For every 0 you move the decimal one place. And since the 100 is positive you move the decimal to the right.
-5.4(3.7)=-5.4×3.7=-19.98
The answer is -19.98.