QAB Project Group7

8/8/2019 QAB Project Group7

http://slidepdf.com/reader/full/qab-project-group7 1/24

Submitted by:Sailesh JV (IPMX03007)

Manish Kataria (IPMX03011)Praveer Chandra (IPMX03021)

Preeti Kalra (IPMX03022)Sachin C Salian (IPMX03030)

Vandeep S Sahni (IPMX03044)

Awareness in Statistics promotes

Decision Making



Contents

Essence of

Statistics

Meaning

Impact on Us

Rendition Aw areness

Helps Decision Making

IIML Noida Campus

Real Life

Simulated



STATISTICS - Definition

Statistics is the science of collecting,

organizing and interpreting

numerical and non numerical facts,

which we call data



Be able to analyze statistics,

which can be used to

support or undercut almost

any argument.

~ Marilyn vos Savant

Statistics ² Impact on Us



Do not put your faith in

what statistics say until you have carefully considered

what they do not say.~William W. Watt

Statistics ² Rendition



IPMX Mess Scheduling

0

5

10

15

20

25

8:30 - 8:45 8:45 - 9:00 9:00 - 9:15 9:15 - 9:30

Time (AM)

3

7

15

23Students

A nalysis of Frequency

Distribution

A

llocation of resourcesas per Frequency Distribution



Tariff Optimization

The first love of the

telecoms is your resourceusage pattern and not your

money

~ George Chan

The tariff plans are preparedso that the MEAN ± of two

plans never overlapThe free usage beyond

are never utilizedThe usage pattern indicates

the future trends



The Rise of MVAS and 3G Decisions

0

50

100

150

200

250

300

350

400

Mar'06 Jun'06 Sep'06 Dec'06Mar'07 Jun'07 Sep'07 Dec'07Mar'08

Average call revenue per user

GSM

CDMA

0

100

200

300

400

500

600

Mar'06 Jun'06 Sep'06 Dec'06 Mar'07 Jun'07 Sep'07 Dec'07 Mar'08

Average Minutes of Non-voice Usage per User

0

2000

4000

6000

8000

10000

12000

Jun'07 Dec'07 Jun'08 Dec'08 Jun'09

MVAS Market (Crores)

Series1

Source: TRAI quarterly reports



0

20

40

60

80

100

120

140

WAZIRABAD

NIZAMUDDIN

OKHLA (AFTER

MEETING OF

SHAHDARA DRAIN)

0

20000000

40000000

60000000

80000000

10000000

12000000

14000000

16000000

18000000

20000000

Faecal Coliform Total Coliform

WAZIRABAD

NIZAMUDDIN

OKHLA (AFTER

MEETING OF

SHAHDARA DRAIN)

Clean Yamuna Campaign

Source: ³Sewage Canal: How to Clean the Yamuna´ by CSE



Credit Worthiness

Source: U.S. 2006 data





Road to the Car Key

Source: U.S. 2006 data



The single most powerful

weapon against GlobalWarming is the complete

arsenal of statistics

~ Bjorn Lomborg

Global Warming ² An Eye Opener





Online advertising:

Current size: Rs 430 crore

Projected size by 2010: Rs 750 crore

Source: http://www.pwc.com/in/en/press-releases/pwc-forecast-indian-entertainment.jhtml

Online Advertising



31-Mar-

10

Team Matches Points Rating

India 38 4719 124

South Africa 38 4572 120

Australia 42 4979 119

Sri Lanka 31 3574 115

England 47 5063 108

Pakistan 25 2008 80

New Zealand 32 2541 79

West Indies 29 2224 77

Bangladesh 25 270 11

Source: http://www.topnews.in/sports/files/cricket-logo_2.jpg

Source: www.cricinfo.com

Sports



Using Linear Correlation and

Regression for decision making



Day

Number of water bottles

soldTemperature

May 18, 2010 76 44

May 19, 2010 72 41

May 20, 2010 69 41

May 21, 2010 70 42

May 22, 2010 68 43

May 24, 2010 74 43

May 25, 2010 78 45

May 26, 2010 78 45

May 27, 2010 74 42

May 28, 2010 70 37

May 29, 2010 73 40

May 31, 2010 ?? 41

Honey Dew Bakery, Delhi

Variable Y (dependent variable) - number of bottles sold

Variable X (independent variable) - temperature



The linear correlation coefficient is a quantity

between -1 and +1

This quantity is denoted by R. The closer R to+1, the stronger positive (direct) correlation

and similarly the closer R to -1 the stronger

negative (inverse) correlation exists between

the two variables.

Number of water bottles sold Temperature

Number of water bottles sold 1

Temperature 0.639308284 1

Linear Correlation



The correlation between the number of bottles and the

temperature is quite a strong positive correlation

This means as the temperature increases, the demand for bottles

also increases

The linear correlation is +0.639308284, which is closer to +1

Number of water

bottles sold Temperature

Number of water bottles sold 1

Temperature 0.639308284 1



y=mx+b

where,

m is the slope of the line

b is the y-intercept

Variable Y (dependent variable) - number of

bottles

Variable X (independent variable) - temperature

Regression



C oefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 99.0% Upper 99.0%

Intercept 32.97847682 16.03185479 2.05706 0.0698 -3.2881 69.24505 -19.12241 85.079368

Temperature 0.948675497 0.380350943 2.49421 0.0342 0.088262 1.809089 -0.287403 2.1847535

Day

Number of water bottles

sold Temperature

May 18, 2010 76 44

May 19, 2010 72 41

May 20, 2010 69 41

May 21, 2010 70 42

May 22, 2010 68 43

May 24, 2010 74 43

May 25, 2010 78 45May 26, 2010 78 45

May 27, 2010 74 42

May 28, 2010 70 37

May 29, 2010 73 40

May 31, 2010 ?? 41





THANK YOU

Date post:	09-Apr-2018
Category:	Documents
Upload:	kanchan-singh
View:	226 times
Download:	0 times

QAB Project Group7

Documents