Answer: a. 1.981 < μ < 2.18
b. Yes.
Step-by-step explanation:
A. For this sample, we will use t-distribution because we're estimating the standard deviation, i.e., we are calculating the standard deviation, and the sample is small, n = 12.
First, we calculate mean of the sample:


2.08
Now, we estimate standard deviation:


s = 0.1564
For t-score, we need to determine degree of freedom and
:
df = 12 - 1
df = 11
= 1 - 0.95
α = 0.05
0.025
Then, t-score is
= 2.201
The interval will be
± 
2.08 ± 
2.08 ± 0.099
The 95% two-sided CI on the mean is 1.981 < μ < 2.18.
B. We are 95% confident that the true population mean for this clinic is between 1.981 and 2.18. Since the mean number performed by all clinics has been 1.95, and this mean is less than the interval, there is evidence that this particular clinic performs more scans than the overall system average.
Answer:
y=(x+1)^2
Step-by-step explanation:
we have the following

the values of y are squares so we can write

so as you can see when

so our relation is

Square root 64 = 8
26/3 = 8 2/3 = 8.66666
8 2/7 = 8. 2857
So the order is sqrt(64) 8 2/7 26/3 8.8 <<<<< Answer
Answer:
There is approximately 5.475 liters of blood in the body.
Step-by-step explanation:
At a resting pulse rate of 75 beats per minute, the human heart typically pumps about 73 ml of blood per beat.
73 ml in liters =
liters
Now, 75 beats/min x 0.073 liters/beat = 5.475 liters/min
And 5.475 liters/min x 1 min/body = 5.475 liters/body
Hence, there is approximately 5.475 liters of blood in the body.