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How to do statistical operation using Excel

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    http://hench-maths.wikispaces.c

    Developed By Graeme Henche

    To show how to do some com

    operations using Excell

    http://hench-maths.wikispaces.com/
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    om

    l

    on statistical

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    Data12

    232356

    8757568032528229

    90438418

    922581

    9554

    3372831689

    RANDBETWEENThis function produces a random integer between

    For exmple =randbewteen(0,100) will produce a

    In order for this function to work you need to haveTo do this go to tools-->addins and select Analy

    Pressing F9 will recalculate the random value.The sheet will also recalculate automatically eveunless you turn this off. Do this in the Tools-->O

    Generating Ran

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    the values you specify

    random whole (integer) number between 0 and 100

    installed the Analysis Toolpak add insis ToolPak.

    ry time you make another entry this can be annoyingtions dialogue box. Select manual calculation

    om Numbers

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    Unsorted Data Sorted data

    76 4

    34 449 1487 1538 2670 2695 344 38

    50 4254 4942 5065 5389 5479 5467 6315 644 65

    89 6764 7063 7226 7614 7954 8726 8953 8972 95

    First Highlight the data you want to sort byselecting all the cells

    Then use the DATA-->SORT menu to sortan unordered list of data into an ordered list

    Data sorted into rank order

    Sorting data into Rank order

    Talessoi

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    he sort function can be used in morevanced ways to sort data into various

    vels of order e.g. you might have names,x, age for a group of people and you canrt this data in various orders dependingwhat you consider to be the most

    portant or useful way for your purposes

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    Sorted data

    244 Mean 36.04762

    4014 Median 401524 Mode 42626 Minimum 23438 Maximum 63

    4249 Range 615050

    525354546363

    Use the following functions to fin

    Mean: =AVERAGE(number1,nu

    Median: =MEDIAN(number1,nu

    Mode: =MODE(number1,number

    Minimum: =min(number1, numbe

    Maximum: =max(number1, numb

    Click on the yellow cells and exa

    to find the Range create a formul

    NOTE: The data does not have tworthwhile doing the sort anywa

    Mean, Median, Mode, Mini

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    mean, median, mode, maximum, minimum

    mber2,...) or =AVERAGE(array)

    ber2,...) or =MEDIAN(array)

    2,...) or =MODE(array)

    r2,..) or =min(array)

    er2,..) or =max(array)

    mine the formulae used for the data set (B4:B24)

    a based on range=max-min

    o be sorted in rank order for these functions to work. But it is

    um, Maximum, Range

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    Sorted data2 Minimum 24

    1415

    242626 Q1 263438424950 Q2 50

    505253545465

    67 Q3 67707276778995 Maximum 95

    The function =QUARTILE(array,quart) can

    Examine the yellow cells to see the formulae

    Array is the array or cell range of numeric

    Quart indicates which value to return.

    If quart equals QUARTILE returns0 Minimum value1 First quartile (25th percentile)2 Median value (50th percentile)3 Third quartile (75th percentile)4 Maximum value

    Quartiles, Maxim

    This information can be used to construct a bfunction to do this. It can however be constru

    See the file Box_plot.xls to see how to do this

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    be used to find quartile and max min of a set of data.

    used

    alues for which you want the quartile value.

    m, Minimum

    ox plot but excell does not have an inbuilt graphingted using drawing objects.

    .

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    Sorted data Bin Frequency

    2 10 34 20 24 30 3

    14 40 215 50 424 60 326 70 226 80 1

    34 90 138 100 142 Sum 22495050

    5254546364808795

    SUM 927

    A class interval can be determinefound . The FREQUENCY functio

    Determine the intervals you want

    The frequency function has the fowhere data_array is the data you

    However it needs to be entered a

    In cell E4 type =frequency(B4:B2Now select all the cells where youNext press F2 (this puts the formThen press CTRL+SHIFT+ENTE

    Note the array formulae is surrou

    The sum of a set of cells can be calculated in several ways.

    Method 1 : is to use the =SUM(array) formulae eg to sum cells b2 to b35

    Method 2 : is to use the auto sum button this is on the toolbar next to

    Select the cells you want to sum click button and the sum will appear inIf you then look at the formulae it looks the same as method 1 above

    Class Interval based Frequency Table

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    d and frequency of occurrence of observations within each class intervaln can be used to determine frequencies for given intervals.

    to use and create an array. Eg D4:D13 This is called yourbin array

    llowing logic =FREQUENCY(Data_array, Bin_array)want to analyse and bin_array is your intervals

    s an array formula. This is how you do it.

    ,D4:D13) then press enter.want the frequencies to be placed i.e. E4:E13

    ula in the formula bar)R (this makes an array formulae in your selected cells)

    nded by braces { }

    se the formulae =sum(b2:b35)

    the hyperlink button.

    the cell below your list.

    NOTE: An easier method for afrequency table is to use theTOOLS-->DATA ANALYSISmethod explained on thefreq+histogram sheet

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    Data Bin2 10

    4 2014 3015 40

    24 5026 6026 7034 8038 9042 1004950

    50525354

    546567707276

    778995

    A frequency table and a Histogram can be co

    Assuming you have your data you need to deyou can see the class intervals going up by 1

    Go to TOOLS-->DATA ANALYSIS and seleThe input range is your raw data. The bin ranbegin to appear. I have put $k$13. Chart ou

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    Bin Frequency

    10 2

    20 230 340 250 4

    60 470 380 390 1100 1

    More 0

    nstructed using the DATA-ANALYSIS functions.

    cide on the class intervals you want to use. These are called your bins. In this example0. You need to put these in the spreadsheet somewhere.

    t Histogram You can see the data ranges that have been put in for this example.ge are your class intervals. The output range is just a cell where you want the output totput is selected so that a chart is produced as well

    0

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    4

    4.5

    Frequency

    Bin

    Histogram

    F

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    requency

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    Data Bin Bin Frequency Cumulative %2 10 10 2 8.00%4 20 20 2 16.00%14 30 30 3 28.00%

    15 40 40 2 36.00%24 50 50 4 52.00%26 60 60 4 68.00%26 70 70 3 80.00%34 80 80 3 92.00%38 90 90 1 96.00%

    42 100 100 1 100.00%49 More 0 100.00%

    505052

    53

    54546567707276778995

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    0.00%20.00%40.00%60.00%

    80.00%100.00%120.00%

    00.5

    11.522.5

    33.5

    44.5

    Frequ

    ency

    Bin

    Histogram

    Frequency

    Cumulative %

    Cumulative % table and Chart can be constructed also by using thetools-->data analysis-->histogram function.

    Proceeding as before simply check the Cumulative Percentage box to produce the table and graphsas shown

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    Data

    2 0 2 44 10 4 514 20 4 6 6

    15 30 4 824 40 2 926 50 0 0 2 3 4 426 60 5 734 70 0 2 6 738 80 942 90 549

    50505253

    545465677072

    76778995

    A simple stem and leaf plot can be

    First sort the data

    Adjusting Column widths makes fo

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    easily constructed.

    r a neater appearance

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    Function

    AVEDEV

    AVERAGE

    AVERAGEA

    BETADIST

    BETAINV

    BINOMDIST

    CHIDIST

    CHIINV

    CHITEST

    CONFIDENCE

    CORREL

    COUNT

    COUNTA

    COUNTBLANK

    COUNTIF

    COVAR

    CRITBINOM

    DEVSQ

    EXPONDIST

    FDIST

    FINV

    FISHER

    FISHERINV

    FORECAST

    FREQUENCY

    FTEST

    GAMMADIST

    Statisti

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    GAMMAINV

    GAMMALN

    GEOMEAN

    GROWTH

    HARMEAN

    HYPGEOMDIST

    INTERCEPT

    KURT

    LARGE

    LINEST

    LOGEST

    LOGINV

    LOGNORMDIST

    MAX

    MAXA

    MEDIAN

    MIN

    MINA

    MODE

    NEGBINOMDIST

    NORMDIST

    NORMINVNORMSDIST

    NORMSINV

    PEARSON

    PERCENTILE

    PERCENTRANK

    PERMUT

    POISSON

    PROB

    QUARTILE

    RANK

    RSQ

    SKEW

    SLOPE

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    SMALL

    STANDARDIZE

    STDEV

    STDEVA

    STDEVP

    STDEVPA

    STEYX

    TDIST

    TINV

    TREND

    TRIMMEAN

    TTEST

    VAR

    VARA

    VARP

    VARPA

    WEIBULL

    ZTEST

    Top of Page

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    Description

    Returns the average of the absolute deviations of data points from their mean

    Returns the average of its arguments

    Returns the average of its arguments, including numbers, text, and logical values

    Returns the beta cumulative distribution function

    Returns the inverse of the cumulative distribution function for a specified beta distribution

    Returns the individual term binomial distribution probability

    Returns the one-tailed probability of the chi-squared distribution

    Returns the inverse of the one-tailed probability of the chi-squared distribution

    Returns the test for independence

    Returns the confidence interval for a population mean

    Returns the correlation coefficient between two data sets

    Counts how many numbers are in the list of arguments

    Counts how many values are in the list of arguments

    Counts the number of blank cells within a range

    Counts the number of nonblank cells within a range that meet the given criteria

    Returns covariance, the average of the products of paired deviations

    Returns the smallest value for which the cumulative binomial distribution is less than or equal to a criterion value

    Returns the sum of squares of deviations

    Returns the exponential distribution

    Returns the F probability distribution

    Returns the inverse of the F probability distribution

    Returns the Fisher transformation

    Returns the inverse of the Fisher transformation

    Returns a value along a linear trend

    Returns a frequency distribution as a vertical array

    Returns the result of an F-test

    Returns the gamma distribution

    cal functions

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    Returns the inverse of the gamma cumulative distribution

    Returns the natural logarithm of the gamma function, (x)

    Returns the geometric mean

    Returns values along an exponential trend

    Returns the harmonic mean

    Returns the hypergeometric distribution

    Returns the intercept of the linear regression line

    Returns the kurtosis of a data set

    Returns the k-th largest value in a data set

    Returns the parameters of a linear trend

    Returns the parameters of an exponential trend

    Returns the inverse of the lognormal distribution

    Returns the cumulative lognormal distribution

    Returns the maximum value in a list of arguments

    Returns the maximum value in a list of arguments, including numbers, text, and logical values

    Returns the median of the given numbers

    Returns the minimum value in a list of arguments

    Returns the smallest value in a list of arguments, including numbers, text, and logical values

    Returns the most common value in a data set

    Returns the negative binomial distribution

    Returns the normal cumulative distribution

    Returns the inverse of the normal cumulative distributionReturns the standard normal cumulative distribution

    Returns the inverse of the standard normal cumulative distribution

    Returns the Pearson product moment correlation coefficient

    Returns the k-th percentile of values in a range

    Returns the percentage rank of a value in a data set

    Returns the number of permutations for a given number of objects

    Returns the Poisson distribution

    Returns the probability that values in a range are between two limits

    Returns the quartile of a data set

    Returns the rank of a number in a list of numbers

    Returns the square of the Pearson product moment correlation coefficient

    Returns the skewness of a distribution

    Returns the slope of the linear regression line

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    Returns the k-th smallest value in a data set

    Returns a normalized value

    Estimates standard deviation based on a sample

    Estimates standard deviation based on a sample, including numbers, text, and logical values

    Calculates standard deviation based on the entire population

    Calculates standard deviation based on the entire population, including numbers, text, and logical values

    Returns the standard error of the predicted y-value for each x in the regression

    Returns the Student's t-distribution

    Returns the inverse of the Student's t-distribution

    Returns values along a linear trend

    Returns the mean of the interior of a data set

    Returns the probability associated with a Student's t-test

    Estimates variance based on a sample

    Estimates variance based on a sample, including numbers, text, and logical values

    Calculates variance based on the entire population

    Calculates variance based on the entire population, including numbers, text, and logical values

    Returns the Weibull distribution

    Returns the one-tailed probability-value of a z-test


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