We are given a data of sample size n = 8
36.45,67.90,38.77,42.18,26.72,50.77,38.5,50.61
Using this, first we find sample mean()
and sample standard deviation(s).
=
= (3.5 + 5.4.......+ 4.3)/5
= 43.99
Now ,
s=
Using given data, find Xi -
for each term.Take square for each.Then we can easily find s.
s= 12.41
Answer :
Sample mean : 43.99
Sample standard deviation: 12.41
An article in Human Factors (June 1989) presented data on visual accommodation (a function of eye...
An article in Human Factors (June 1989) presented data on visual accommodation (a function of eye movement) when recognizing a speckle pattern on a high-resolution CRT screen. The data are as follows: 36.45, 68.71, 37.43, 42.18, 26.72, 50.77, 39.30, and 49.71. Construct a normal probability plot. Does it seem reasonable to assume that visual accommodation is normally distributed?
The article "Uncertainty Estimation in Railway Track Life-Cycle Cost"† presented the following data on time to repair (min) a rail break in the high rail on a curved track of a certain railway line. 159 120 480 149 270 547 340 43 228 202 240 218 A normal probability plot of the data shows a reasonably linear pattern, so it is plausible that the population distribution of repair time is at least approximately normal. The sample mean and standard deviation are 249.7 and 145.1, respectively. (a) Is there compelling evidence for...
2. The article "Uncertainty Estimation in Railway Track Life-Cycle Cost"+ presented the following data on time to repair (min) a rail break in the high rail on a curved track of a certain railway line. 159 120 480 149 270 547 340 43 228 202 240 218 A normal probability plot of the data shows a reasonably linear pattern, so it is plausible that the population distribution of repair time is at least approximately normal. The sample mean and standard...
The article "Uncertainty Estimation in Railway Track Life-Cycle Cost"† presented the following data on time to repair (min) a rail break in the high rail on a curved track of a certain railway line. 159 120 480 149 270 547 340 43 228 202 240 218 A normal probability plot of the data shows a reasonably linear pattern, so it is plausible that the population distribution of repair time is at least approximately normal. The sample mean and standard deviation are 249.7 and 145.1, respectively. (a) Is there compelling evidence for...