U could use a protractor to help u
all u gotta do is measure it then minus the entire thing from 15
hope this helps u :)
Answer:x
Step-by-step explanation:
Answer:
C. Type I error
Step-by-step explanation:
Hello!
The hypothesis tested was:
H₀: μ = 7
H₁: μ > 7
The decision was taken: Reject the null hypothesis.
Reminder:
There are four decisions you can take when you make a hypothesis test.
1. Reject the null hypothesis when the hypothesis is false (This is a correct decision)
2. Reject the null hypothesis when the hypothesis is true (This decision is also known as Type I error)
3. Fail to reject the null hypothesis when the hypothesis is true (This is a correct decision)
4. Fail to reject the null hypothesis when the hypothesis is false (This decision is also known as Type II error)
Since they concluded, that the average process time vas greater than 7 days, when it was 7 days, they rejected the null hypothesis when it was true. This is a Type I error and its associated probability is α.
I hope it helps!
Answer:
The mean of the sampling distribution for the sample proportion when taking samples of size 500 from this population is equal to 0.248.
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean
and standard deviation 
Of the 500 people sampled, 124 said that they would be interested in purchasing season tickets to a Six Flags in Ames.
This means that 
The mean of the sampling distribution for the sample proportion when taking samples of size 500 from this population is equal to
By the Central Limit Theorem, it is equal to the sample proportion of 0.248.