final stats my(2)

7/30/2019 Final Stats My(2)

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PRESENTATION ON :

Group members :

Dilraj kohli 22

Harsh Thakkar 29

Hiren Badani 32

Jigar Vora 39

Krunal Trivedi 49


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LUX soap was launched in INDIA in 1930

Popularly known as beauty soap of film star, Lux has

been a favourate with generations for the experience of

luxurious bathing.

The brand name, Lux has been taken from the word,

luxury.


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Contd..

Lux is the largest personal wash brand in the country

Lux stands for promise of beauty and glamour as one

of the indias most trusted personal care brands

Its world-class fragrances and nourishing ingredients

have made a strong product differentiation for Lux,

making the Lux bath a pleasurable experience.


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Name:

Gender:

1. Age:

20-22

22-25

25-35

35 and above

2. Which bathing soap brand come to your mind first?

Lux

Dove

Lifeboy

Others(specify)


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3. Which are the factors you take into consideration before buyingthe soap?

Celebrity Endorsement Fragrance

Price Brand name

4. You came to know about Lux soap from Newspaper advertisements

TV advertisements Word of mouth Others

5. Which of the offers available influence you the most to purchaseSoap?

Discounts offer Buy one get one Combo pack Other


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6. From where do you prefer to purchase Soap?

Departmental Store

Retail Store

Grocery store Super Market

7. Which type of Lux Soap you like the most( if you have used lux)?

Peach Milk

Cream Milk Pink Cream

Badam Milk

8. What is the size of the Soap you usually purchase?

70 gms 90 gms

125 gms

Other


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9. How frequently you purchase Lux Soap?

Every Week

Every fortnight

Every month

Occasionally

10. Based on the following experience rank lux from the scale of

1(excellent) - 5(poor)

1

2

3

4

5


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18

22

Gender

Male

Female


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The mean or average is a method to derive thecentral tendency of a sample space.

Advantages: Finds the most accurate averageof the set of numbers.

Disadvantages: Outliers can change the mean alot... making it much lower/higher than itshould be.


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15

19

6

Age Group(yrs)

20-24

24-28

28-32

32 &Above

Data F x Fx20-24 15 22 33024-28 19 26 49428-32 6 30 180

32 & above 0 34 0TOTAL 40 1004

MEAN = fx /n

= 1004/40

=25.1


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Median is a measure of central tendency

Data F Cumulativefrequency

20-24 15 1524-28 19 3428-32 6 40

32 & above 0 40Total 40

N/2 = 40/2 = 20th observation

24-28 median class.

Median = L + N/2 Pcf-------------------------- * i

cf

= 24 + 20 15-------------------- * 4

19= 25.05


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18

12

7

30

2

4

6

8

10

12

14

16

18

20

Lux Dove Lifeboy Others

Brand UsedThe most-common or most-frequently occurring value in aseries of data

As, 18 is the higest value So, lux

refers to the most-common ormost-frequently soap usedamong people surveyed
http://www.businessdictionary.com/definition/value.htmlhttp://www.businessdictionary.com/definition/data.htmlhttp://www.businessdictionary.com/definition/data.htmlhttp://www.businessdictionary.com/definition/value.html


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7

125

16

Factor leads to buy

Celebrity Endorsement

Fragnance

Price

Brand

0

5

10

15

20

25

6

25

72

Information Channel


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0

2

4

6

8

10

12

14

4

9

1314

Offer Influence

16

12

4

8

Place to buy

Departmental Store

Retail Store

Grocery Store

Supermarket


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2

6

17

15

0

2

4

6

8

10

12

14

16

18

frequency of purchase

2

6

17

15

Frequency of Purchase

Every WeekEvery Fortnight

Every Month

Occasionally


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The term SKEWNESS refers to the lack of symmetric. When

the distribution is asymmetrical, it is called as a SKEWED

DISTRIBUTION

If the value of mean, median & mode are alike, it issymmetrical distribution.

In a positively skewed distribution, Mean > Mode & the

Median lies in between Mean & Mode.

In a negatively skewed distribution, Mean < Mode & Median

lies between the two.


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Data F m d fd0-2

8

1

-2

4

-16

256

2-4 15 3 -1 1 -15 2254-6 13 5 0 0 0 06-8 4 7 1 1 4 168-10

0

9

2

4

0

0

Total -27 497


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It shows how much variation or "dispersion"there is from the average

Low standard deviation indicates that the datapoints tend to be very close to the mean

High standard deviation indicates that the data

points are spread out over a large range ofvalues
http://en.wikipedia.org/wiki/Statistical_dispersionhttp://en.wikipedia.org/wiki/Meanhttp://en.wikipedia.org/wiki/Meanhttp://en.wikipedia.org/wiki/Statistical_dispersion


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After applying, Standard Deviation Formula, we get

Standard Deviation () = [(fd2 /N) (fd/N)2 ] * i

= 6.9192Skewness = mean-mode

= 0.0159

Interpretation: Mean is greater than Mode by anamount equal to 52.75% of the value of StandardDeviation. Thus it is the case of positive skewed

distribution


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Co-relation analysis is defined as analysis of co-variationof 2 or more variables

Assumed mean1 = 7 Assumed mean2 = 4

Serial

numberX Y Dx = X-

ADy =

Y-ADx2 Dy2 Dx Dy

1 5.03 3.14 -1.97 -0.86 3.88 0.74 1.692 5.72 3.24 -1.28 -0.76 1.63 0.58 0.973 5.42 3.6 1.58 -0.40 2.49 0.16 0.634 6.18 3 -0.83 -1.06 0.68 1 0.835 6.22 3.79 -0.78 -021 0.60 0.04 0.166 8.77 4.27 1.77 0.27 3.13 0.07 0.487 8.12 3.89 1.12 -0.02 1.25 0 0.028 8.73 4.17 1.73 0.17 3 0.03 0.299 9.02 5.03 2.02 1.03 4.08 1.06 2.0810 9.48 5.16 2.48 1.16 6.15 1.35 2.88

x =

72.68y =

39.17Dx =

3.47Dy =

-0.62Dx2 = 26.89 Dy2 = 5.03 DxDy =

10.01


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X = 72.68 = 7.2610

Y = 39.17 = 3.9110

r = N dx dy - dx dy

2 ()2 2 ()2

r = 10(10.01) - (3.47) (-.62)

(10 26.89 (3.47)2 (10 0.62 (5.03)2

r = 0.89Since the co-relation is very close to 1, there is a strong positive correlationbetween sales and advertising.


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Regression is the effect of one variable on another.X = X Y = Y

n nv(x) = 2 - x2 v(y) = y2 - y2n ncov(x, y) = xy - x y

nbyx = cov(x, y) bxy = cov(x, y)v(x) v(y)

y on x:y y = byx (x x)x on y:x x = bxy (y-y)

Serial X Y X2 Y2 XY


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Serial

numberX Y X Y XY

1 5.03 3.14 25.3 9.85 15.792 5.72 3.24 32.7 10.49 18.533 5.42 3.6 29.3 12.96 19.514 6.18 3 38.19 9 18.545 6.22 3.79 38.68 14.36 23.576 8.77 4.27 75.69 18.23 37.447 8.12 3.89 65.93 15.13 31.588 8.73 4.17 76.21 17.39 36.409 9.02 5.03 81.36 25.30 45.3710 9.48 5.16 89.87 26.62 48.91

x = 72.68 y = 39.17 X2 = 552.93 Y2 = 159.33 XY = 295.7


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X = 72.68 = 7.26 Y = 39.17 = 3.91

10 10V(x) = 552.93 - (7.26)2 = 2.78

10V(y) = 160.03 - (3.93)2 = 0.5610

cov (x, y) = 296.47 - (7.26 x 3.93) = 1.1110

Byx = 1.11 = 0.39 Bxy = 1.11 = 1.982.78 0.56

Taken x = 50Y 3.93 = 0.39 (50 7.26)

Y = 20.59

Taken y = 45X 7.26 = 1.98 (453.93)X = 88.57

final stats my(2)

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