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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Isolate the variable Y by multiplying 1.5 on both sides.
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Answer: Cost of tickets for adults = $22
Cost of tickets for children = $15
Total number of tickets sold = 732
Total receipts = $12,912
Let x be number of adult ticket's sold and y be the number of child ticket's sold.
Therefore, we have:
--------------- equation 1
Also, we have:
Now, let's substitute the value of x:
Now, let's substitute the value of y=456 in equation 1, we have:
Therefore, the number of child ticket's sold is 456 and number of adult ticket's sold is 276
Answer:
y1 = -3, y2 = 3
Step-by-step explanation:
(2/3)y^2 + 14 = 20
(2/3)y^2 = 20 - 14
(2/3)y^2 = 6
y^2 = 9
y = -3 and y = 3