About Outlier Calculator
Single Married filing jointly Married filing separately (MFS) Head of household (HOH) Qualifying widow(er) (QW) If you checked the MFS box, enter the name of spouse. If you checked the HOH or QW box, enter the child’s name if the qualifying person is a child but not your dependent. Algebra Calculator is a calculator that gives step-by-step help on algebra problems. See More Examples ». Disclaimer: This calculator is not perfect. Please use at your own risk, and please alert us if something isn't working. To calculate the port length of a round port, enter the diameter of the port (D), the box volume (Vb) in cubic feet, and the desired tuning frequency (Fb). Here is the formula we use: ( (14630000. (D/2). (D/2))/ ( (Fb.Fb.Vb.1728)- (1463. (D/2)))) Please compare your answers with other programs that include other allowances such as tapered ports. Use the Speaker Box Designer to determine the correct Speaker Box Volume for Your Driver. Use the Driver Displacement Calculator to Determine the Displacement for Your Driver. Read the Speaker Box Design Tutorial.
The Outlier Calculator is used to calculate the outliers of a set of numbers.
FAQ
An outlier in a distribution is a number that is more than 1.5 times the length of the box away from either the lower or upper quartiles. Specifically, if a number is less than Q1 – 1.5×IQR or greater than Q3 + 1.5×IQR, then it is an outlier.
In descriptive statistics, the interquartile range (IQR) is a measure of statistical dispersion, being equal to the difference between the third quartile (Q3) and first quartile (Q1), that is, IQR = Q3 – Q1.
The first quartile, also called the lower quartile, is equal to the data at the 25th percentile of the data. The third quartile, also called the upper quartile, is equal to the data at the 75th percentile of the data.
There are several different methods for calculating quartiles. This calculator uses a method described by Moore and McCabe to find quartile values. The same method is also used by the TI-83 to calculate quartile values. With this method, the first quartile is the median of the numbers below the median, and the third quartile is the median of the numbers above the median.