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: 7. g = -50, 8. f= 340/6 9. 3 10 .125
Step-by-step explanation:#7 g(3): 4(3)^2 +6 =12^2 +6 = 1444=6= 150. We divide 150 by 3 giving us -50. #8We start by putting f(6): -3(6)^2 -4(6) +8. We use PEMDAS. -18^2 -24 +8 = _324-24+8 F= 340/6 #9 g(15) = Square root of 15-6=9 and the square root of 9 is 3, therefore, the answer is 3. #10 h (x) = 2^x we plug -3 to 2^-3. It is a negative number and it gives us .125 or 12.5
Answer:
24
Step-by-step explanation:
from the question above,
30+(-6) =
when plus is multiplying minus it's minus
+ × - = -
30-6 = 24
Answer:
It should be 5:10 or 5 people not wearing sneakers and 10 not wearing a blue shirt
Step-by-step explanation:
Well it quite simple 1st you have the total which is 40
next you look at the rest, 15 people wearing sneakers plus the 5 waering sneakers and blue shirt. now you have 15.
next you have 10 people wearing but shirts. if you add the numbers you have now you get this: 15+10=25.
Now that you have 25 you can just add numbers to get 25(in that case 10 and 5). whats how you get 5:10
hope this helps (barry_ary)
