Answer: Type I error would be a conclusion that average time spent on phone by teenager is higher than 4.5 hours per week which is actually the same.
Step-by-step explanation:
Type 1 error occurs when a null hypothesis is true but researcher rejects it.
Let 
be the average time spent on the phone by teenagers .
Here, Null hypothesis: 
Alternative hypothesis : 
So, Type I error would be a conclusion that average time spent on phone by teenager is higher than 4.5 hours per week which is actually the same.
Hi! Multiply -0.25 by the inner numbers.
-0.25 times 84 = 21
-0.25 times -32n = -8n
Then take the -n and add that
21 -8n - n
-8n - n (or -1n) = -9n
therefore, answer would be a) 21 - 9n
Answer:
because it’s different system
Step-by-step explanation: When going from the metric system to another, You do conversion factor.
5510 = x + (x + 100) + (x + 200) + (x + 300) + (x + 400) + (x + 500) + (x + 600) + (x +700) + (x + 800) + (x + 900) = 10x + 4500
=> 10x = 5510 - 4500 = 1010
=> x = 1010 / 10 = 101
=> least prize = 101 and greatest prize = 101+ 900 = 1001.<----- answer
80 would be the answer i guess can you explain more in depth?
