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How can you find the percentage of empirical rule?
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?
What is the formula of simple percentage in statistical treatment in research?
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.
What is equal to 6.45?
6.45 can be expressed as a decimal number, a fraction, or a percentage. As a fraction, it is equivalent to 645/100. In percentage form, 6.45 is equal to 645%. Additionally, it can be represented as a mixed number, which is 6 45/100.
What is 76g as a percentage?
as a percentage of what.
Do you say 'percentage is' or 'percentage are'?
Percentage is considered a singular noun: The percentage of unemployed citizens is usually about five percent.
What percentage of observations of a normal distribution is represented by the mean plus or minus 1.96 standard deviations?
95%
What percentage of observations of a normal distribution is represented by the mean plus or minus 1.96 standard deviation?
It is 95%
What percentage of observations of a normal distribution is reprented by the mean plus or minus 1.96 standard deviations?
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
Statistic question help?
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
What is -1.33 standard deviations in percentage?
Assuming a normal distribution, Pr { X < -1.33 } ~= 0.091759135650280765 or about 9.18 %
What percentage of scores fall within -3 and plus 3 standard deviations around the mean in a normal distribution?
99.7% of scores fall within -3 and plus 3 standard deviations around the mean in a normal distribution.
What percentage of a normal distribution is within 2 standard deviations of the mean?
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.
What percentage of the data in a normal distribution is represented by 1 SD of a sample?
Assuming that we have a Normal Distribution of Data, approx. 65% of the data will fall within One Sigma.
Given an unknown What percentage of data falls within 0.75 standard deviation of the mean?
In a normal distribution, approximately 57.5% of the data falls within 0.75 standard deviations of the mean. This is derived from the cumulative distribution function (CDF) of the normal distribution, which indicates that about 27.5% of the data lies between the mean and 0.75 standard deviations above it, and an equal amount lies between the mean and 0.75 standard deviations below it. Therefore, when combined, it results in around 57.5% of data being within that range.
How many standard deviation tend to cover the entire range of scores in a distribution?
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.
What percentage of data would fall within 1.75 standard deviations of the mean?
About 81.5%
What is the largest and smallest of a percentage point in a t and f distribution?
The smallest percentage point of any distribution is 0% and the largest is 100%.
