Answer:
8
Step-by-step explanation:
Answer:
5/8
Step-by-step explanation:
Answer:
99% confidence interval estimate of the mean weight time for a population with drug treatments
(79.11 , 112.69)
Step-by-step explanation:
<u><em>Step(i):</em></u>-
Given data mean of the Population = 104 minutes
Given sample size 'n' =14
Mean of the sample(x⁻) = 95.9 minutes
Given Standard deviation = 24.4 minutes
<u><em>Step(ii)</em></u>:-
99% confidence interval estimate of the mean weight time for a population is determined by
On calculation , we get
(95.9 -16.79 , 95.9 +16.79)
(79.11 , 112.69)
<u><em>Conclusion:</em></u>-
99% confidence interval estimate of the mean weight time for a population with drug treatments
(79.11 , 112.69)
Powers of 4 are like 4^1, 4^2, 4^3 and so on
remember that 4^x means 4 times itself x times for example
4^3=4 times iteslef 3 times=4 times 4 times 4
so the multipules of the powers of 4 are just 4 times of the previous
so we will list
4^1=4
4^2=16
4^3=64
4^4=256
4^5=1024
1024 is already more than 1000 so the list stops and is
1,16,64,256
Answer:
The formulas are functionally the same, but 'n' (the sample size) is used instead of 'N' (the population size).
Step-by-step explanation:
The sample mean is the average value for a set of observations which is derived from a population. While the population mean is the average value for the entire set of observation belonging to a particular study of interest.
The set of observation belonging to a population is denoted by 'N' ; while the sample size is denoted as 'n' :
The mean formula is written thus :
Population mean = Σx / N
Sample mean = Σx / n
Where, x = set of values.
