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Analysis Price Of The Unipacket Petrol

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Question:

Discuss about the Analysis Price Of The Unipacket Petrol.
 
 

Answer:

Introduction

The present project is the analysis of the data we collected. The data was collected from four locations – Inner city, Outskirts of city, Suburbs and remote regions. The data regarding the oil prices were collected from equal number of locations. The brands of oils were Shell and Caltex. Data was collected from 224 stations, equally divided amongst the two stations.

The response variable of the study is the price of the unipacket petrol.

The independent variables are the station from which the petrol is being purchased and the location of the petrol station.

Research Question

The research question for the project is: Does location of the station affect the price of petrol?

Research Hypothesis

To answer the above research question three hypothesis were developed.

The hypothesis for the tests

  • Hypothesis 1

Null Hypothesis: The station brand has no effect on the price of petrol

Alternate hypothesis: The station brand has an effect on the price of petrol.

  • Hypothesis 2

Null Hypothesis: The Location of the station has no effect on the price of petrol

Alternate Hypothesis: The Location of the station has an effect on the price of petrol

  • Hypothesis 3

Null Hypothesis: There is no effect of the station brand and the location of the petrol station on the price of petrol

Alternate Hypothesis: The station brand and the location of the petrol station is linked by the price of petrol.

Data Analysis

To answer the above question we used the two factorial ANOVA.

Between-Subjects Factors

 

Value Label

N

Brands

1

S

112

2

NS

112

Locations

1

Inner City

56

2

Outskirts of City

56

3

Suburbs

56

4

Remote Region

56

Table 1: Frequency of Station brand and Location of the petrol station

(source created by author)

Descriptive Statistics

Dependent Variable: UN

Brands

Locations

Mean

Std. Deviation

N

S

Inner City

114.9393

7.74570

28

Outskirts of City

107.9000

.00000

28

Suburbs

114.7714

2.87632

28

Remote Region

116.7000

6.65488

28

Total

113.5777

6.22869

112

NS

Inner City

108.3393

2.08581

28

Outskirts of City

121.1857

5.79180

28

Suburbs

115.7214

2.99448

28

Remote Region

115.6750

5.97406

28

Total

115.2304

6.41218

112

Total

Inner City

111.6393

6.53271

56

Outskirts of City

114.5429

7.83565

56

Suburbs

115.2464

2.94840

56

Remote Region

116.1875

6.28719

56

Total

114.4040

6.36105

224

Table 2: Descriptive statistics of the price of petrol based on the Station brand and Location of the station

(source created by author)

Tests of Between-Subjects Effects

Dependent Variable: UN

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Partial Eta Squared

Corrected Model

3755.322a

7

536.475

21.997

.000

.416

Intercept

2931774.564

1

2931774.564

120211.155

.000

.998

Brands

152.955

1

152.955

6.272

.013

.028

Locations

646.995

3

215.665

8.843

.000

.109

Brands * Locations

2955.371

3

985.124

40.393

.000

.359

Error

5267.925

216

24.389

 

 

 

Total

2940797.810

224

 

 

 

 

Corrected Total

9023.246

223

 

 

 

 

a. R Squared = .416 (Adjusted R Squared = .397)

Table 3: Between subject effects of the price of petrol based on the Station brand and Location of the station

(source created by author)

From table 3 we find that there are statistically significant interaction between the station brand of petrol and the location of the petrol station, F(3,216)= 40.393, p = 0.000.

We also find that there are statistically significant differences between the station brand and the price of petrol F(1,216)=6.272, p = 0.013.

In addition, we also find that there are statistically significant differences between the location of the petrol station and the price of the petrol F(3,216) = 8.843, p = 0.000.

From figure 1 and table 2 we find that the price of station brand “S” petrol is the lowest at the outskirts of the city, and the highest at the remote region. The price of station brand “NS” is the highest at the outskirts of the city and the lowest at the inner city location.

 

Conclusion

From the above analysis we find that the price of unipacket petrol varies with the location and the brand of petrol station.

OR

Cite This Work

To export a reference to this article please select a referencing stye below:

My Assignment Help. (2018). Analysis Price Of The Unipacket Petrol. Retrieved from https://myassignmenthelp.com/free-samples/analysis-price-of-the-unipacket-petrol.

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My Assignment Help (2018) Analysis Price Of The Unipacket Petrol [Online]. Available from: https://myassignmenthelp.com/free-samples/analysis-price-of-the-unipacket-petrol
[Accessed 20 January 2020].

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My Assignment Help. Analysis Price Of The Unipacket Petrol [Internet]. My Assignment Help. 2018 [cited 20 January 2020]. Available from: https://myassignmenthelp.com/free-samples/analysis-price-of-the-unipacket-petrol.


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