Respuesta :
Answer:
a) The required sample size  n= 55011,57025
b) The sample size is not practical, because that size is extremely large and  would be very costly to collect, normally the size have to be significant but no to large to avoid cost unnecessary
Step-by-step explanation:
Range
[tex] σ = \frac{4-0}{4} = 1[/tex]
[tex]E = 0,011 \\c= 99 %\\[/tex]⇒ 0,99
Sample size can be determinate using equation:
[tex]n=(\frac{Z_{\alpha /2 * σ} }{E})^{2}[/tex]
Using confidence level desired 99% [tex]Z_{\alpha /2}[/tex] = 2,58
Table used :
Confidence     [tex]Z_{\alpha/2 }[/tex]
    90 %           1,60
    95 %           1,96
    99 %           2,58
    99,9 %          3,291
So replacing:
[tex]n=(\frac{2,58 * 1 }{0,011})^{2}[/tex]
[tex]n= 234,5454545^{2} \\n=55011,57025[/tex]
Answer:
a) The required sample size is 54926
b) The sample size is not practical because it is too large to consider
Step-by-step explanation:
Given:
Sample mean = Margin of error, E = 0.011
Confidence level = 99%
Za= 100%-99%=1% => 0.01
Standard deviation, s.d = [tex] \frac{4-0}{4} = 1 [/tex]
a) For required sample size, n:
[tex] n= [\frac{\frac{Z_a*s.d}{2}}{E}]^2[/tex]
[tex] but \frac{Z_a}{2} = \frac{0.01}{2} = 0.005 [/tex]
From the normal distribution table,
NORMSDIST(0.005)
= 2.5758
The required sample size will now be:
[tex] n = [\frac{2.578*1}{0.011}]^2[/tex]
= [234.3636]²
= 54,926.314 => 54926
Sample size is approximatelty 54926
b) The sample size is not practical because it is too large to consider. It will be very hard to collect a sample data of almost 54926 subjects