Answer:
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Answer:
0.6 is BIGGgGer
Step-by-step explanation:
51/100 is the same as 0.51.
Now compare 0.60 and 0.51
Answer: Choice A) A true null hypothesis is rejected
In other words, if the reality is that the null is true but your research says otherwise, then you've committed a type i error.
A type ii error is when you fail to reject the null (basically "accepting" the null) while in reality the alternative is the true hypothesis.
It's saying that on every other stop(with even numbers)you add 2 people, and on all the other stops(odd numbers)you subtract 5 people. Be sure that you start with 18 people on the bus! Keep doing this until there is no more people on the bus!
Answer:
Step-by-step explanation:
From the given information;
The null hypothesis & alternative hypothesis:
The test statistics can be computed as:
The p-value = 2(Z > 2.11) since this is a two-tailed test
The p-value = 2( 1 - Z < 2.11)
The p-value = 2 (1 -0.9826)
The p-value = 2 (0.0174)
The p-value = 0.0348
Decision Rule: To reject the 
if the p-value is less than
Conclusion: We fail to reject and conclude that the population mean = 2, thus the machine is properly adjusted.
