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statistical functions in microsoft excel

 STATISTICAL FUNCTIONS




STATISTICAL FUNCTION IN MS EXCEL 


There are total 110 Statistical functions in MS Excel . These functions are given below :
1.) AVEDEV : Returns the average of the absolute deviations of data points from their mean . Arguments can be numbers or names , arrays , or references that contain numbers .
2.) AVERAGE : Returns the average ( arithmetic mean ) of its arguments , which can be numbers or names, arrays, or references that contain numbers .
3.) AVERAGEA : Returns the average (arithmetic mean) of its arguments , evaluating text and False in arguments as 0 ; TRUE evaluates as 1 . Arguments can be numbers , names , arrays , or references . 
4.) AVERAGEIF : Finds average (arithmetic mean) for the cells specified by a given condition or criteria . 
5.) AVERAGEIFS : Finds average (arithmetic mean) for the cells specified by a given set of conditions or criteria .
6.) BETA.DIST : Returns the beta probability distribution function .
7.) BETA.INV : Returns the inverse of the cumulative beta probability density function (BETA.DIST) . 
8.) BINOM.DIST : Returns the individual term binomial distribution probability .
9.) BINOM.DIST.RANGE : Returns the probability of a trial result using a binomial distribution .
10.) BINOM.INV : Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value .
11.) CHISQ.DIST : Returns the left-tailed probability of the chi-squared distribution .
12.) CHISQ.DIST.RT : Returns the right-tailed probability of the chi-squared distribution .
13.) CHISQ.INV : Returns the inverse of the left-tailed probability of the chi-squared distribution .
14.) CHISQ.INV.RT : Returns the inverse of the right-tailed probability of the chi-squared distribution .
15.) CHISQ.TEST : Returns the test for independence: the value from the chi-squared distribution for the statistic and the appropriate degrees of freedom.
16.) CONFIDENCE.NORM : Returns the confidence interval for a population mean, using a normal distribution .
17.) CONFIDENCE.T : Returns the confidence interval for a population mean, using a Student's T distribution.
18.) CORREL : Returns the correlation coefficient between two data sets .
19.) COUNT : Counts the number of cells in a range that contain numbers .
20.) COUNTA : Counts the number of cells in a range that are not empty .
21.) COUNTBLANK : Counts the number of empty cells in a specified range of cells .
22.) COUNTIF : Counts the number of cells within a range that meet the given condition .
23.) COUNTIFS : Counts the number of cells specified by a given set of conditions or criteria .
24.) COVARIANCE.P : Returns population covariance, the average of the products of deviations for each data point pair in two data sets .
25.) COVARIANCE.S : Returns sample covariance, the average of the products of deviations for each data point pair in two data sets .
26.) DEVSQ : Returns the sum of squares of deviations of data points from their sample mean .
27.) EXPON.DIST : Returns the exponential distribution .
28.) F.DIST : Returns the (left-tailed) F probability distribution (degree of diversity) for two data sets .
29.) F.DIST.RT : Returns the (right-tailed) F probability distribution (degree of diversity) for two data sets .
30.) F.INV : Returns the inverse of the (left-tailed) F probability distribution: if p= F.DIST (x,..), then F.INV(p,...) = x .
31.) F.INV.RT : Returns the inverse of the (right-tailed) F probability distribution: if p =F.DIST.RT(x,...), then F.INV.RT(p,...) = x  .
32.) F.TEST : Returns the result of an F-test, the two-tailed probability that the variance in Array1 and Array2 are not significantly different .
33.) FISHER : Returns the Fisher transformation .
34.) FISHERINV : Returns the inverse of the Fisher transformation: if y=FISHER(x), then FISHERINV(y)=x . 
35.) FORECAST.ETS : Returns the forecasted value for a specific future target date using exponential smoothing method .
36.) FORECAST.ETS.CONFINT : Returns the confidence interval for the forecast value at the specified target date.  
37.) FORECAST.ETS.SEASONALITY : Returns the length of the repetitive pattern Microsoft Excel detects for the specified time series .
38.) FORECAST.ETS.STAT : Returns the requested statistics for the forecast .
39.) FORECAST.LINEAR : Calculates, or predicts, a future value along a linear trend by using existing values .
40.) FREQUENCY : Calculates how often values occur within the range of values and then returns a vertical array of numbers having once more element than Bins_array .
41.) GAMMA : Returns the Gamma function value .
42.) GAMMA.DIST : Returns the gamma distribution .
43.) GAMMA.INV : Returns the inverse of the gamma cumulative distribution: if p = GAMMA.DIST(x,...), then GAMMA.INV(p,...) = x .
44.) GAMMALN : Returns the natural logarithm of the gamma function .
45.) GAMMALN.PRECISE : Returns the natural logarithm of the gamma function .
46.) GAUSS : Returns 0.5 less than the standard normal cumulative distribution .
47.) GEOMEAN : Returns the geometric mean of an array or range of positive numeric data .
48.) GROWTH : Returns numbers in an exponential growth trend matching known data points .
49.) HARMEAN : Returns the harmonic mean of a data set of positive numbers: the reciprocal of the arithmetic  mean of  reciprocals .
50.) HYPGEOM.DIST : Returns the hypergeometric distribution .
51.) INTERCEPT : Calculates the point at which a line will intersect they y-axis by using a best-fit regression line plotted through the known x-values and y-values .
52.) KURT : Returns the kurtosis of a data set .
53.) LARGE : Returns the k-th largest value in a data set . For example, the fifth largest number .
54.) LINEST : Returns statistics that describe a linear trend matching known data points, by fitting a straight line using the least squares method .
55.) LOGEST : Returns statistics that describe an exponential curve matching known data points . 
56.) LOGNORM.DIST : Returns the lognormal distribution of x, where ln(x) is normally distributed with parameters Mean and Standard_dev .
57.) LOGNORM.INV : Returns the inverse of the lognormal cumulative distribution function of x, where ln(x) is normally distributed with parameters Mean and Standard_dev . 
58.) MAX : Returns the largest value in a set of values . Ignores logical values and text .
59.) MAXA : Returns the largest value in a set of values . Does not ignore logical values and text .
60.) MAXIFS : Returns the maximum value among cells specified by a given set of conditions or criteria .
61.) MEDIAN : Returns the median, or the number in the middle of the set of given numbers .
62.) MIN : Returns the smallest number in a set of values . Ignores logical values and text .
63.) MINA : Returns the smallest value in a set of values . Does not ignore logical values and text .
64.) MINIFS : Returns the minimum value among cells specified by a given set of conditions or criteria .
65.) MODE.MULT : Returns a vertical array of the most frequently occurring, or repetitive, values in an array or range of data . For a horizontal array , use = TRANSPOSE(MODE.MULT(number1.number2,...)) .   
66.) MODE.SNGL : Returns the most frequently occurring, or repetitive, value in an array or range of data .
67.) NEGBINOM.DIST : Returns the negative binomial distribution, the probability that there will be Number_f failures before the Number_s-th success, with Probability_s probability . 
68.) NORM.DIST : Returns the normal distribution for the specified mean and standard deviation .
69.) NORM.INV : Returns the inverse of the normal cumulative distribution for the specified mean and standard deviation .
70.) NORM.S.DIST : Returns the standard normal distribution (has a mean of zero and a standard deviation of one) .
71.) NORM.S.INV : Returns the inverse of the standard normal cumulative distribution (has a mean of zero and a standard deviation of one ) .
72.) PEARSON : Returns the Pearson product moment correlation coefficient, r .
73.) PERCENTILE.EXC : Returns the k-th percentile of values in a range, where k is in the range 0..1, exclusive .
74.) PERCENTILE.INC : Returns the k-th percentile of values in a range, where k is in the range 0..1, inclusive .
75.) PERCENTRANK.EXC : Returns the rank of a value in a data set as a percentage of the data set as a percentage (0..1, exclusive) of the data set .
76.) PERCENTRANK.INC : Returns the rank of a value in a data set as a percentage of the data set as a percentage (0..1, inclusive) of the data set .
77.) PERMUT : Returns the number of permutations for a given number of objects that can be selected from the total objects .
78.) PERMUTATIONA : Returns the number of permutations for a given number of objects (with repetitions) that can be selected from the total objects .
79.) PHI : Returns the value of density function for a standard normal distribution .
80.) POISSON.DIST : Returns the Poisson distribution .
81.) PROB : Returns the probability that values in a range are between two limits or equal to a lower limit .
82.) QUARTILE.EXC : Returns the quartile of a data set, based on percentile values from 0..1, exclusive .
83.) QUARTILE.INC : Returns the quartile of data set, based on percentile values from 0..1, inclusive .
84.) RANK.AVG : Returns the rank of a number in a list of numbers: its size relative to other values in the list; if more than one value has the same rank, the average rank is returned .
85.) RANK.EQ : Returns the rank of a number in a list of numbers: its size relative to other values in the list; if more than one value has the same rank, the top rank of that set of values is returned .
86.) RSQ : Returns the square of the Pearson product moment correlation coefficient through the given data points . 
87.) SKEW : Returns the skewness of a distribution: a characterization of the degree of asymmetry of a distribution around its mean .
88.) SKEW.P : Returns the skewness of a distribution based on a population: a characterization of the degree of asymmetry of a distribution around its mean .
89.) SLOPE : Returns the slope of the linear regression line through the given data points .
90.) SMALL : Returns the k-th smallest value in a data set. For example, the fifth smallest number .
91.) STANDARDIZE : Returns a normalized value from a distribution characterized by a mean and standard deviation .
92.) STDEV.P : Calculates standard deviation based on the entire population given as arguments (ignores logical values and text) .
93.) STDEV.S : Estimates standard deviation based on a sample (ignores logical values and text in the sample) .
94.) STDEVA : Estimates standard deviation based on a sample, including logical values and text. Text and the logical value FALSE have the value 0; the logical value TRUE has the value 1 .
95.) STDEVPA : Calculates standard deviation based on an entire population, including logical values and text. Text and the logical value FALSE have the value 0; the logical value TRUE has the value 1 .
96.) STEYX : Returns the standard error of the predicted y-value for each x in a regression .
97.) T.DIST : Returns the left-tailed Student's t-distribution .
98.) T.DIST.2T : Returns the two-tailed Student's t-distribution .
99.) T.DIST.RT : Returns the right-tailed Student's t-distribution .
100.) T.INV : Returns the left-tailed inverse of the Student's t-distribution .
101.) T.INV.2T : Returns the two-tailed inverse of the Student's t-distribution .
102.) T.TEST : Returns the probability associated with a Student's t-Test .
103.) TREND : Returns numbers in a linear trend matching known data points, using the least squares method .
104.) TRIMMEAN : Returns the mean of the interior portion of a set of data values .
105.) VAR.P: Calculates variance based on the entire population (ignores logical values and text in the population) .
106.) VAR.S : Estimates variance based on a sample (ignores logical values and text in the sample) .
107.) VARA : Estimates variance based on a sample, including logical values and text . Text and the logical value FALSE  have the value 0; the logical value TRUE has the value 1 .
108.) VARPA : Calculates variance based on the entire population, including logical values and text. Text and the logical value FALSE have the value 0; the logical value TRUE has the value 1 .
109.) WEIBULL.DIST : Returns the Weibull distribution .
110.) Z.TEST : Returns the one-tailed P-value of a z-test .

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