Explain why normality is required for standard deviation applicability. Please give examples.© BrainMass Inc. brainmass.com October 25, 2018, 8:18 am ad1c9bdddf
Normal is important because what we are statistically after is a mean that is statistically significant when we say that the average height of a US man is such and such and the average height of a US woman is this. We would be able to statistically validate that the largest percentage of heights is within set standard deviations from the average height. Our curve would be statistically significant and reliable in determining the height of men and women in the US.
If however our sample departed from the norm and we included an abnormally large sample of individuals who are 7' and taller or 4' and shorter our mean or average height would not be statistically significant in determining the true average height of men and women in the US. The mean would be either too tall or too short because of using an abnormal sample. Standard ...
The standard deviation applicability normality is examined. Examples are provided.
Confidence Interval Application: Mean time to download from IRS and H&R Block sites
An article reported that the mean time to download the home page for the Internal Revenue Service, www.irs.gov, is 0.8 seconds. Suppose that the download time is normal distributed, with a standard deviation of 0.2 seconds.
The same artile mentioned above also reported that the mean time to download the home page for H & R Block, www.hrblock.com, is 2.5 seconds. Suppose that the download time is normal distributed, with a standard deviation of 0..5 seconds. What is the probability that a download time is:
a) Less than 1 second?
b) Between 0.5 and 1.5 seconds?
c) Above 0.5 seconds?
d) Above how many seconds are 99% of the downloard times?
e) Compare the results fror the IRS site computed in Problem 6.52 to those of the H & R Block site.View Full Posting Details