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.
To learn more about type 2 error, please check: brainly.com/question/20914617
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Answer:
A
Step-by-step explanation:
Let's set up two ratios...
1 cm : 5km
8 cm : x km
Therefore the answer is A
<span>#2 A
number line ranging from negative 2 to positive 2, with increments of 1
fourth. The area between zero and negative 1 fourth is in brackets with
negative 1 fourth written above it. The area between negative 1 fourth
and negative 3 fourths is in brackets, with negative 1 half written
above it. is your answer</span>