STATISTICAL ANALYSIS

Previous Work

Statistical Analysis

[Name of the Institute]

Statistical Analysis

Test 1:

 

 

Group Statistics

 

 

 

 

What is your gender?

N

Mean

Std. Deviation

Std. Error Mean

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Cosmetic

1

90

2.73

1.8

0.19

 

2

54

1.85

1.04

0.141

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Clothing

1

90

2.28

1.09

0.115

 

2

54

1.94

1.05

0.143

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Automobiles

1

90

4.4

1.75

0.185

 

2

54

4.39

1.25

0.17

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Household

1

90

5.5

1.2

0.127

 

2

54

5.5

1.1

0.149

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Food and Drinks

1

90

4.64

1.52

0.16

 

2

54

5.35

1.18

0.161

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Electronic Goods

1

90

5.57

1.42

0.149

 

2

54

6.04

1.18

0.161

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Fashion accessories

1

90

2.88

1.95

0.206

 

2

54

2.93

1.44

0.196

 

 

 

 

 

 

Independent Samples Test

Levene's Test for Equality of Variances

t-test for Equality of Means

95% Confidence Interval of the Difference

F

Sig.

t

df

Sig. (2-tailed)

Mean Difference

Std. Error Difference

Lower

Upper

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Cosmetic

Equal variances assumed

9.883

0.002

3.279

142

0.001

0.881

0.269

0.35

1.413

Equal variances not assumed

3.725

141.786

0.000

0.881

0.237

0.414

1.349

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Clothing

Equal variances assumed

2.049

0.154

1.797

142

0.074

0.333

0.185

-0.033

0.7

Equal variances not assumed

1.813

114.88

0.072

0.333

0.184

-0.031

0.697

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Automobiles

Equal variances assumed

6.071

0.015

0.041

142

0.968

0.011

0.273

-0.528

0.55

Equal variances not assumed

0.044

137.703

0.965

0.011

0.251

-0.486

0.508

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Household

Equal variances assumed

0.582

0.447

0

142

1

0

0.2

-0.396

0.396

Equal variances not assumed

0

119.994

1

0

0.196

-0.387

0.387

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Food and Drinks

Equal variances assumed

3.055

0.083

-2.93

142

0.004

-0.707

0.241

-1.184

-0.23

Equal variances not assumed

-3.12

132.317

0.002

-0.707

0.227

-1.156

-0.258

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Electronic Goods

Equal variances assumed

2.88

0.092

-2.05

142

0.042

-0.47

0.229

-0.924

-0.017

Equal variances not assumed

-2.15

127.331

0.034

-0.47

0.219

-0.904

-0.037

Rank in order of preference in which category sex appeal in advertisement increase the likelihood of...-Fashion accessories

Equal variances assumed

9.902

0.002

-0.16

142

0.875

-0.048

0.306

-0.653

0.557

Equal variances not assumed

-0.17

136.006

0.866

-0.048

0.284

-0.61

0.514

Classifying the consumer behavior on the basis of demographic is one of the most important decisions that are taken when planning the advertisement and the market strategy of any brand or product. Therefore as shown in the above table, we have statistically calculated the relation between the products that consumer purchases due to sex appeal and their gender. In other words it was calculated that whether both the genders, males and the females, on an average makes same product purchases due to sex appeal or not.

To conduct the test, we take an assumption, also known as null hypothesis, which allow us to know, that what is being tested by the software. For this specific, which is mentioned in the table above, we have kept the confidence level of 95 %, which means that we are 95 % assured that the achieved results are correct. As far as the assumption is concerned, it would be written in the form of hypothesis, which is:

H0 A = the average choice of males and females, influenced by sexual appeal in advertisement are same for cosmetics products

As it can be observed, above, that the null hypothesis is being rejected, this means that on an average the males and the females are not similarly ...