about 68%
The number of potholes inThe number of potholes in any given 1 mile stretch of freeway pavement in Pennsylvania has a bell-shaped distribution. This distribution has a mean of 61 and a standard deviation of 9. Using the empirical rule (as presented in the book), what is the approximate percentage of 1-mile long roadways with potholes numbering between 34 and 70? any given 1 mile stretch of freeway pavement in Pennsylvania has a bell-shaped distribution. This distribution has a mean of 61 and a standard deviation of 9. Using the empirical rule (as presented in the book), what is the approximate percentage of 1-mile long roadways with potholes numbering between 34 and 70?
There are two formulas used in getting the simple percentage in statistical treatment in research. The first formula, Frequency and percentage distribution, % = f/N x 100, where f is the frequency and N is the number of cases. The next formula is Mean where the mean equals the sum of all scores divided by the number of cases.
yes in some circumstances it can be used to express a rate of change, in a time series or trend line, or random error, however it is probably better represented in a different format to avoid confusion.
as a percentage of what.
Percentage is considered a singular noun: The percentage of unemployed citizens is usually about five percent.
95%
It is 95%
The probability of the mean plus or minus 1.96 standard deviations is 0. The probability that a continuous distribution takes any particular value is always zero. The probability between the mean plus or minus 1.96 standard deviations is 0.95
When using Chebyshev's Theorem the minimum percentage of sample observations that will fall within two standard deviations of the mean will be __________ the percentage within two standard deviations if a normal distribution is assumed Empirical Rule smaller than greater than the same as
Assuming a normal distribution, Pr { X < -1.33 } ~= 0.091759135650280765 or about 9.18 %
99.7% of scores fall within -3 and plus 3 standard deviations around the mean in a normal distribution.
I believe the standard deviations are measured from the median, not the mean.1 Standard Deviation is 34% each side of median, so that is 68% total.2 Standard Deviations is 48% each side of median, so that is 96% total.
Assuming that we have a Normal Distribution of Data, approx. 65% of the data will fall within One Sigma.
Type your answer here... It depends what percentage of the total data you want to embrace. 99.73% of the total distribution lies between minus to plus 3 standard deviations. That's usually the benchmark range.
About 81.5%
The smallest percentage point of any distribution is 0% and the largest is 100%.
percentage of males and percentage of females