Answer:
<h2>It'll be an engine with six 500cc cylinders, which give 3.0.</h2>
Step-by-step explanation:
Notice that the number 2.0 describes the numbers of cylinders and their capacity. That is, 4 cylinders with 500cc each, gives a total of 2000, which is equivalent to 2.0 engine.
Having said that, if we add two more 500cc cylinders, the engine would be 3000, which is equivalent to 3.0.
What # are you talking about
Answer: x=8/81
Step-by-step explanation
3x divide by 3
8/27 divide by 3
it becomes x=8/27 divide by 3 and 3 becomes 1/3
8/27 x 1/3=8/81
x=8/81
Answer:
H0: μ = 8.3 hours
Ha: μ > 8.3 hours
We need to remember that a type of error II if the error associated when we NO reject the null hypothesis when actually the alternative hypothesis is true. And is also known as false negative. The best answer for this case would be:
D. The manufacturer will decide the mean battery life is 8.3 hours when in fact it is greater than 8.3 hours.
Since we are FAILING to reject the null hypothesis when the true mean is actually higher than the value specified
Step-by-step explanation:
For this case we want to determine if mean running time has increased as a result of the new change so then the system of hypothesis are given by:
Note: we assume that the value to check in order to be consistent with the options is 8.3
H0: μ = 8.3 hours
Ha: μ > 8.3 hours
We need to remember that a type of error II if the error associated when we NO reject the null hypothesis when actually the alternative hypothesis is true. And is also known as false negative. The best answer for this case would be:
D. The manufacturer will decide the mean battery life is 8.3 hours when in fact it is greater than 8.3 hours.
Since we are FAILING to reject the null hypothesis when the true mean is actually higher than the value specified