A web site given in Related Links (below) is one of several that provide frequency information on US surnames. It claims to use information from the 1990 U.S. Census and lists 18839 last names in percent frequency order (comes in groups of 1000 to 4000 names per page). The counts are a bit squirrel because they apparently did the counting of each name, then calculated the percentage, rounded that percentage to 3 decimal places and then reversed the process and calculated the number of each name by multiplying the rounded off percentage times the grand total. This makes the counts to be the same for large groups of names... i.e.: there at 11 last names that are listed as having 92,019 people with that name because the percentage rounded to 0.037. Strange that they could not keep the exact count for each name even if they rounded the percentage. It is even more obvious for the least common names at the bottom of the list... The last 11340 names are all listed as being 0.001 percent of the total and that then is calculate to all of them having a count of 2,487. The Counts, sum to 197,955,252, but the percentages sum to only 79.596%, so there are many very low frequently used names missing from the list.
In the United States, surnames are not evenly distributed by letters of the alphabet. Common letters like S, M, and B tend to have higher percentages of surnames compared to less common letters like Q, X, and Z. For instance, names starting with S account for about 12-13% of all surnames in the US, while names starting with Z make up less than 1%.
In the 2000 Census, the lowest percentage distribution of the two or more races population was in Vermont, with only 1.3% of the population identifying as two or more races. This was the lowest percentage in any state in the United States at that time.
A pie chart would be the best graph to show what percent of your class wears glasses. Each slice of the pie can represent a different percentage of the class, making it easy to visualize the distribution of glasses wearers in the class.
Occupational structure refers to the distribution of jobs across different sectors, industries, and types of work within a population. It provides insights into the composition of the workforce in terms of the types of jobs people hold and how they are distributed within the economy. Understanding occupational structure is important for analyzing trends in employment, income distribution, and economic development.
Approximately 31.2% of the world's population identifies as Christian.
The US unemployment rate in 1933 was approximately 24.9% at the peak of the Great Depression. This high rate of unemployment was a result of widespread economic downturn and financial crisis during that period.
5/26ths or 0.19%
the gender distribution is 77 percent men and 25 percent women
Vowels make up 40% of the alphabet.
hey guys, i did some research and found the answer. its not exact but its from 64-70%
25 percent
in form of percent
In a normal distribution half (50%) of the distribution falls below (to the left of) the mean.
No. By definition of the median, the median has 50 percent of the case below and 50 percent of the cases above. This has nothing to do with the cases being in a normal distribution.
-1.28
72%
In the normal distribution, the mean and median coincide, and 50% of the data are below the mean.
Which one of the two you do does not matter.