Anjali BRMbasic Data Analysis

8/7/2019 Anjali BRMbasic Data Analysis

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PRESENTED BY:

Anjali Singh

Bhavya Pandya

Deepshikha Jha

Nibedita Mohanty

Ratan Bala shahi


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The transformation of raw data into a form thatwill make them easy to understand andinterpret; rearranging, ordering, andmanipulating data to generate descriptiveinformation

The elementary transformation of raw data in away that describes the basic characteristics suchas central tendency and variability


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U

ni variate analysis (calculation of several measuresmostly concerning one variable)

Bi variate analysis (analysis of two variable)


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Central tendency : It is a single value which is used to represent all

of the value in the series. There are three major types of estimates of

central tendency:MeanMedianMode


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Types of Scale:- Nominal

Ordinal Interval RatioMeasures ofCentral tendency Mean

Median Mode


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The most common-used measure of central

tendency=average. The mean is the "standard" average.

x=x/nx=observation value

n=no. of observation

Example=

Marks of 20 students out of 30


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Median is the middle value , when the datais arranged in numerical order .

The median is the middle of a distribution: half thescores are above the median and half are below themedian.

median = size of (n+1/2)th of observation


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Mode is the value ( number) that appears themost. M

ode is the another form of average that can bedefined as most frequently occurring value in thedata.

For example: {2,4,5,6,6,8,9,9,9}

Here mode is 9


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Represent how data are clustered closely. Different types of measures of dispersion

RangeStandard deviationVariance


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The simplest measures of dispersion is therange.

Range = Highest value Lowest value. Co-efficient of range =max-min / max+ min. Example: A sample of 5 marketing managers

salary i.e. $ 22,000,$28000,$30,000,$50,000,$20,000.


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Standard Deviation is the most commonlyused measures of dispersion.

It is denoted as = 1/nf(x-x)

n=no. of observationx=value of variables ,x=arithmetic mean

coefficient of standard deviation=/x


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Variance is the square of standard deviation. It is denoted as .

Variance =1/n f(x-x) Coefficient of variance =/x*100


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The arrangement of statistical data in a row-and-

column format that exhibits the count of responsesor observations for each category assigned to avariable

A table showing the different ways respondents

answered a question.


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Q.WhichChocolates do you prefer most?

Brands Responses out of 500 Percentage

Cadbury 225 45%

Nestle 155 31%

Amul 83 16.6%

Nutrine 31 6.2%

Dont know 6 1.2%


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Cross Tabulation data is organized in to

groups, categories or classes to facilitatecomparison.

To analyze and summarize data. Contingency table- The results of a cross-

tabulation of two variables, such as surveyquestions


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Anjali BRMbasic Data Analysis