The standard deviation of height in the US population is approximately 3 inches.
About 45% of whites have type O blood; an estimated 65% of Latinos have it. Not sure about the remainder of the population.
Height requirements for military service vary by branch and can range from about 4'10" to 6'8". However, there are no specific height requirements for most branches of the military, and fitness standards such as meeting weight and body composition guidelines are typically more important.
Averge height and weight of male is 5'10 with 70-75 kg.
a disease that kills a large portion of wolf population affects the mice population because if a lot of the wolf died from the disease, they wouldnt eat deer so then there are more deer. if there are more deer, they need to eat more mice. so mice population would go down a lot.
Population A has a larger size than population B, resulting in a higher density for population A. Population A also exhibits a clumped dispersion pattern, where individuals are grouped together, while population B shows a random dispersion pattern, with individuals spread evenly.
US IQ standard Deviation is 16.
The standard deviation tells us nothing about the mean.
It allows you to understand, or comprehend the average fluctuation to the average. example: the average height for adult men in the United States is about 70", with a standard deviation of around 3". This means that most men (about 68%, assuming a normal distribution) have a height within 3" of the mean (67"- 73"), one standard deviation, and almost all men (about 95%) have a height within 6" of the mean (64"-76"), two standard deviations. In summation standard deviation allows us to see the 'average' as a whole.
44.9
standard deviation is the square roots of variance, a measure of spread or variability of data . it is given by (variance)^1/2
Standard Deviation tells you how spread out the set of scores are with respects to the mean. It measures the variability of the data. A small standard deviation implies that the data is close to the mean/average (+ or - a small range); the larger the standard deviation the more dispersed the data is from the mean.
the variation of a set of numbrs
In a normal distribution, approximately 95% of the population falls within 2 standard deviations of the mean. This is known as the 95% rule or the empirical rule. The empirical rule states that within one standard deviation of the mean, about 68% of the population falls, and within two standard deviations, about 95% of the population falls.
It gives us an idea how far away we are from the center of a normal distribution.
It means that the data are spread out around their central value.
I will restate your question as "Why are the mean and standard deviation of a sample so frequently calculated?". The standard deviation is a measure of the dispersion of the data. It certainly is not the only measure, as the range of a dataset is also a measure of dispersion and is more easily calculated. Similarly, some prefer a plot of the quartiles of the data, again to show data dispersal.t Standard deviation and the mean are needed when we want to infer certain information about the population such as confidence limits from a sample. These statistics are also used in establishing the size of the sample we need to take to improve our estimates of the population. Finally, these statistics enable us to test hypothesis with a certain degree of certainty based on our data. All this stems from the concept that there is a theoretical sampling distribution for the statistics we calculate, such as a proportion, mean or standard deviation. In general, the mean or proportion has either a normal or t distribution. Finally, the measures of dispersion will only be valid, be it range, quantiles or standard deviation, require observations which are independent of each other. This is the basis of random sampling.
The height of a standard toilet seat is 14" from a furnished floor.