The output voltage of a power supply is assumed to be normally distributed. Sixteen observations taken at random on voltage are as follows: 10.35, 9.30, 10.00, 9.96, 11.65, 12.00, 11.25, 9.58, 11.54, 9.95, 10.28, 8.37, 10.44, 9.25, 9.38, and 10.85. I Assume that the standard deviation is known to be 9. Let ¯x be the average of the 16 observations. Find the interval [¯x − a, ¯x + a] such that

Respuesta :

Answer:

CI(lower ==> xbar - a) = 9.769841

CI(upper ==> xbar + a) = 10.748909

Step-by-step explanation:

First, the standard deviation of the sample is not 9 as stated in the question. It is 0.9990493. And the mean of the observation is 10.25938.

The formula for calculation mean and standard deviation are:

Mean = [tex]\frac{\sum_{i=1}^{n} x_{i}}{n}[/tex], and

Standard deviation = [tex]\sqrt{\frac{\sum_{i=1}^{n}(x_{i} - \bar{x})^2}{n-1} }[/tex]

By Confident interval (CI),

CI = [tex]\bar{x} \pm Z_{\alpha/2} * \frac{\sigma}{\sqrt{n}}[/tex],

Where [tex]\frac{\sigma}{\sqrt{n}}[/tex] = Standard error (se), and [tex]Z_{\alpha/2} = 1.96[/tex].

If we compute this CI = [tex]\bar{x} \pm Z_{\alpha/2} * \frac{\sigma}{\sqrt{n}}[/tex], we have [9.769841, 10.748909].

For replication of answers, use the R codes below:

d = c(10.35, 9.30, 10.00, 9.96, 11.65, 12.00, 11.25, 9.58, 11.54,  

9.95, 10.28, 8.37, 10.44, 9.25, 9.38, 10.85)

mean(d)

sd(d)

se = sd(d)/sqrt(length(d))

se

CIl = mean(d) - 1.96* se

CIU = mean(d) + 1.96* se

CI = c(CIl, CIU)