RM-Statistical analysis in excel few tips

Excel Central Tendency and Variability Functions
Function	What It Calculates
AVERAGE	Mean of a set of numbers
AVERAGEIF	Mean of a set of numbers that meet a condition
AVERAGEIFS	Mean of a set of numbers that meet one or more conditions
HARMEAN	Harmonic mean of a set of positive numbers
GEOMEAN	Geometric mean of a set of positive numbers
MODE	Mode of a set of numbers
MEDIAN	Median of a set of numbers
VARP	Variance of a set of numbers considered to be a population
VAR	Variance of a set of numbers considered to be a sample
STDEVP	Standard deviation of a set of numbers considered to be a population
STDEV	Standard deviation of a set of numbers considered to be a sample
STANDARDIZE	A standard score based on a given mean and standard deviation
Excel Relative Standing Functions
Function	What It Calculates
RANK	Rank of a number in a set of numbers
PERCENTRANK	Rank of a number expressed as a percent
PERCENTILE	The indicated percentile in a set of numbers
QUARTILE	The 1st, 2nd, 3rd, or 4th quartile of a set of numbers
Excel Correlation and Regression Functions
Function	What It Calculates
CORREL	Correlation coefficient between two sets of numbers
PEARSON	Same as CORREL. (Go figure!)
RSQ	Coefficient of determination between two sets of numbers (square of the correlation coefficient)
SLOPE	Slope of a regression line through two sets of numbers
INTERCEPT	Intercept of a regression line through two sets of numbers
STEYX	Standard error of estimate for a regression line through two sets of numbers

Tool	What it Does
Anova: Single Factor	Analysis of variance for two or more samples
Anova: Two Factor with Replication	Analysis of variance with two independent variables, and multiple observations in each combination of the levels of the variables.
Anova: Two Factor without Replication	Analysis of variance with two independent variables, and one observation in each combination of the levels of the variables.
Correlation	With more than two measurements on a sample of individuals, calculates a matrix of correlation coefficients for all possible pairs of the measurements
Covariance	With more than two measurements on a sample of individuals, calculates a matrix of covariances for all possible pairs of the measurements
Descriptive Statistics	Generates a report of central tendency, variability, and other characteristics of values in the selected range of cells
Exponential Smoothing	In a sequence of values, calculates a prediction based on a preceding set of values, and on a prior prediction for those values
F-Test Two Sample for Variances	Performs an F-test to compare two variances
Histogram	Tabulates individual and cumulative frequencies for values in the selected range of cells
Moving Average	In a sequence of values, calculates a prediction which is the average of a specified number of preceding values
Random Number Generation	Provides a specified amount of random numbers generated from one of seven possible distributions
Rank and Percentile	Creates a table that shows the ordinal rank and the percentage rank of each value in a set of values
Regression	Creates a report of the regression statistics based on linear regression through a set of data containing one dependent variable and one or more independent variables
Sampling	Creates a sample from the values in a specified range of cells
t-Test: Two Sample	Three t-test tools test the difference between two means. One assumes equal variances in the two samples. Another assumes unequal variances in the two samples. The third assumes matched samples.
z-Test: Two Sample for Means	Performs a two-sample z-test to compare two means when the variances are known