number1, number2, ... Number1 is required, subsequent numbers are optional. 1 to 255 arguments for which you want the average of the absolute deviations. You can also use a single array or a reference to an array instead of arguments separated by commas.

number1, number2, ...Numbers, value references or ranges for which you want the average.

value1, value2, ... Value1 is required, subsequent values are optional. 1 to 255 values, ranges of values, or values for which you want the average.

One or more values to average, including numbers or names, arrays, or references that contain numbers.

The criteria in the form of a number, expression, value reference, or text that defines which values are averaged.

Optional. The actual set of values to average. If omitted, range is used.

One or more values to average, including numbers or names, arrays, or references that contain numbers.

A range of value values.

A second range of value values.

Cell reference, or range within which you want to count numbers.

Arguments representing the values that you want to count.

The range from which you want to count the blank values.

The values to check

The criteria to apply to each value in range

Range in which to evaluate the associated criteria.

The array or multiple arrays to be examined.

number1, number2, ... Number1 is required, subsequent numbers are optional. 1 to 255 arguments for which you want to calculate the sum of squared deviations. You can also use a single array or a reference to an array instead of arguments separated by commas.

A numeric value for which you want the transformation.

The value for which you want to perform the inverse of the transformation.

The data point for which you want to predict a value.

The dependent array or range of data.

The independent array or range of data.

An array of or reference to a set of values for which you want to count frequencies. If data_array contains no values, FREQUENCY returns an array of zeros.

An array of or reference to intervals into which you want to group the values in data_array. If bins_array contains no values, FREQUENCY returns the number of elements in data_array.

Returns a number.

number1, number2, ... Number1 is required, subsequent numbers are optional. 1 to 255 arguments for which you want to calculate the mean. You can also use a single array or a reference to an array instead of arguments separated by commas.

The set of y-values you already know in the relationship y = b*m^x.

• If the array known_y's is in a single column, then each column of known_x's is interpreted as a separate variable.
• If the array known_y's is in a single row, then each row of known_x's is interpreted as a separate variable.
• If any of the numbers in known_y's is 0 or negative, GROWTH returns the #NUM! error value.

Optional. An optional set of x-values that you may already know in the relationship y = b*m^x.

• The array known_x's can include one or more sets of variables. If only one variable is used, known_y's and known_x's can be ranges of any shape, as long as they have equal dimensions. If more than one variable is used, known_y's must be a vector (that is, a range with a height of one row or a width of one column).
• If known_x's is omitted, it is assumed to be the array {1,2,3,...} that is the same size as known_y's.

Optional. Are new x-values for which you want GROWTH to return corresponding y-values.

• new_x's must include a column (or row) for each independent variable, just as known_x's does. So, if known_y's is in a single column, known_x's and new_x's must have the same number of columns. If known_y's is in a single row, known_x's and new_x's must have the same number of rows.
• If new_x's is omitted, it is assumed to be the same as known_x's.
• If both known_x's and new_x's are omitted, they are assumed to be the array {1,2,3,...} that is the same size as known_y's.

Optional. A logical value specifying whether to force the constant b to equal 1. If const is TRUE or omitted, b is calculated normally. If const is FALSE, b is set equal to 1 and the m-values are adjusted so that y = m^x.

• If const is TRUE or omitted, b is calculated normally.
• If const is FALSE, b is set equal to 1 and the m-values are adjusted so that y = m^x.

number1, number2, ... Number1 is required, subsequent numbers are optional. 1 to 255 arguments for which you want to calculate the mean. You can also use a single array or a reference to an array instead of arguments separated by commas.

The dependent set of observations or data.

The independent set of observations or data.

number1, number2, ... Number1 is required, subsequent numbers are optional. 1 to 255 arguments for which you want to calculate kurtosis. You can also use a single array or a reference to an array instead of arguments separated by commas.

The array or range of data for which you want to determine the k-th largest value.

The position (from the largest) in the array or value range of data to return.

The set of y-values that you already know in the relationship y = mx + b.

• If the range of known_y's is in a single column, each column of known_x's is interpreted as a separate variable.
• If the range of known_y's is contained in a single row, each row of known_x's is interpreted as a separate variable.

Optional. A set of x-values that you may already know in the relationship y = mx + b.

• The range of known_x's can include one or more sets of variables. If only one variable is used, known_y's and known_x's can be ranges of any shape, as long as they have equal dimensions. If more than one variable is used, known_y's must be a vector (that is, a range with a height of one row or a width of one column).
• If known_x's is omitted, it is assumed to be the array {1,2,3,...} that is the same size as known_y's.

The set of y-values you already know in the relationship y = b*m^x.

• If the array known_y's is in a single column, then each column of known_x's is interpreted as a separate variable.
• If the array known_y's is in a single row, then each row of known_x's is interpreted as a separate variable.

Optional. An optional set of x-values that you may already know in the relationship y = b*m^x.

• The array known_x's can include one or more sets of variables. If only one variable is used, known_y's and known_x's can be ranges of any shape, as long as they have equal dimensions. If more than one variable is used, known_y's must be a range of values with a height of one row or a width of one column (which is also known as a vector).
• If known_x's is omitted, it is assumed to be the array {1,2,3,...} that is the same size as known_y's.

value1, value2,... Number arguments 2 to 255 for which you want to find the largest value.

number1, number2, ... Number1 is required, subsequent numbers are optional. 1 to 255 numbers for which you want the median.

value1, value2, ... Value1 is required, subsequent values are optional. 1 to 255 values for which you want to find the smallest value.

A set of independent values.

A set of dependent values.

An integer that describes the number of objects.

An integer that describes the number of objects in each permutation.

An integer that describes the total number of objects.

An integer that describes the number of objects in each permutation.

X is the number for which you want the density of the standard normal distribution.

The range of numeric values of x with which there are associated probabilities.

A set of probabilities associated with values in x_range.

Optional. The lower bound on the value for which you want a probability.

Optional. The optional upper bound on the value for which you want a probability.

An array or range of data points.

An array or range of data points.

number1, number2, ... Number1 is required, subsequent numbers are optional. 1 to 255 arguments for which you want to calculate skewness. You can also use a single array or a reference to an array instead of arguments separated by commas.

An array or value range of numeric dependent data points.

The set of independent data points.

An array or range of numerical data for which you want to determine the k-th smallest value.

The position (from the smallest) in the array or range of data to return.

The value you want to normalize.

The arithmetic mean of the distribution.

The standard deviation of the distribution.

value1, value2, ... Value1 is required, subsequent values are optional. 1 to 255 values corresponding to a sample of a population. You can also use a single array or a reference to an array instead of arguments separated by commas.

value1, value2, ... Value1 is required, subsequent values are optional. 1 to 255 values corresponding to a population. You can also use a single array or a reference to an array instead of arguments separated by commas.

An array or range of dependent data points.

An array or range of independent data points.

The set of y-values you already know in the relationship y = mx + b

An optional set of x-values that you may already know in the relationship y = mx + b

Optional. New x-values for which you want TREND to return corresponding y-values.

The array or range of values to trim and average.

The fractional number of data points to exclude from the calculation. For example, if percent = 0.2, 4 points are trimmed from a data set of 20 points (20 x 0.2): 2 from the top and 2 from the bottom of the set.

value1, value2, ... Value1 is required, subsequent values are optional. 1 to 255 value arguments corresponding to a sample of a population.

value1, value2, ... Value1 is required, subsequent values are optional. 1 to 255 value arguments corresponding to a population.