Statistical Analysis

[Name of the Institute]

Statistical Analysis

Question 1

Descriptive

Delivery Reliability

 

 

 

 

 

 

 

 

 

 

 

 

 

95% Confidence Interval for Mean

 

 

 

 

N

Mean

Std. Deviation

Std. Error

Lower Bound

Upper Bound

Minimum

Maximum

Private Label

21

5.4348

2.21208

0.46125

4.4782

6.3914

3

9

Company brand

14

6.0667

2.18654

0.56456

4.8558

7.2775

3

9

both

15

6.625

2.27669

0.56917

5.4118

7.8382

3

9

Total

50

5.963

2.23997

0.30482

5.3516

6.5744

3

9

Test of Homogeneity of Variances

Delivery Reliability

 

 

 

Levene Statistic

df1

df2

Sig.

0.035

2

47

0.965

ANOVA

Delivery Reliability

 

 

 

 

 

 

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

13.59

2

6.795

1.373

0.262

Within Groups

252.336

51

4.948

 

 

Total

265.926

48

 

 

 

Multiple Comparisons

Dependent Variable:Delivery Reliability

 

 

 

 

 

 

 

 

 

 

 

 

 

95% Confidence Interval

 

 

(I) Type of Purchasing

(J) Type of Purchasing

Mean Difference (I-J)

Std. Error

Sig.

Lower Bound

Upper Bound

LSD

Private Label

Company brand

-0.63188

0.73822

0.396

-2.1139

0.8502

 

 

both

-1.19022

0.72412

0.106

-2.644

0.2635

 

Company brand

Private Label

0.63188

0.73822

0.396

-0.8502

2.1139

 

 

both

-0.55833

0.79943

0.488

-2.1633

1.0466

 

both

Private Label

1.19022

0.72412

0.106

-0.2635

2.644

 

 

Company brand

0.55833

0.79943

0.488

-1.0466

2.1633

Tamhane

Private Label

Company brand

-0.63188

0.72903

0.776

-2.474

1.2103

 

 

both

-1.19022

0.7326

0.305

-3.0364

0.656

 

Company brand

Private Label

0.63188

0.72903

0.776

-1.2103

2.474

 

 

both

-0.55833

0.80168

0.869

-2.5896

1.4729

 

both

Private Label

1.19022

0.7326

0.305

-0.656

3.0364

 

 

Company brand

0.55833

0.80168

0.869

-1.4729

2.5896

From the table of test of homogeneity of variance, we can infer that which of the methods, we have to utilize from the multiple comparisons table. As we now know that the variances are statistically equal, we will see for the equality of means in LSD, under multiple comparison tables. From the result we can infer that the average perception of the people regarding the delivery reliability is same in all the groups that are mentioned in the product types, as their p value is > 0.05.

From these inferences, we can make changes to our marketing strategies, on the basic of the perception of delivery reliability and can make differentiated strategies for the groups, who, on an average have different perceptions for the delivery reliability, in any.

Question 2

Between-Subjects Factors

 

 

Value Label

N

Firm Size

0

Small

25

 

1

Big

25

Structure Procurement

0

Decentralized

25

 

1

Centralized

25

Descriptive Statistics

Dependent Variable: Overall Satisfaction in January

Firm Size

Structure Procurement

Mean

Std. Deviation

N

Small

Decentralized

5.5385

1.45002

12

 

Centralized

4.3571

1.54955

13

 

Total

4.9259

1.59147

25

Big

Decentralized

4.7692

1.30089

13

 

Centralized

4.7857

1.42389

12

 

Total

4.7778

1.33973

25

Total

Decentralized

5.1538

1.40548

25

 

Centralized

4.5714

1.47645

25

 

Total

4.8519

1.45897

50

Levene's Test of Equality of Error Variances(a)

Dependent Variable:Overall Satisfaction in january

 

 

 

 

F

df1

df2

Sig.

 

0.613

3

46

0.61

 

Tests of Between-Subjects Effects

Dependent Variable:Overall Satisfaction in january

 

 

 

 

 

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Corrected Model

9.705a

3

3.235

1.569

0.209

Intercept

1275.092

1

1275.092

618.317

0

size

0.391

1

0.391

0.19

0.665

structure

4.573

1

4.573

2.218

0.143

size * structure

4.836

1

4.836

2.345

0.132

Error

103.11

46

2.062

 

 

Total

1384

50

 

 

 

Corrected Total

112.815

53

 

 

 

We have conducted this test, in order to find out the two different categorical variables on the scale variable to see whether they are associated with each other or not.

It can be seen from the test above, our assumption or in other words our null hypothesis, i.e.

H0 = the size and the structure of the procurement are associated with the overall satisfaction in January

Tends to be accepted and the result of the ...