Stat1300 Fundamentals Of Statistics For Assessment Answers
Answer:
Introduction
Australia being one of the countries where cars are produced, it is in our expectation that most of the car brands spotted around the cities and towns within the country should be local made vehicles. This does not hinder or nullify the fact that other foreign brands were spotted, but the larger proportion of the cars’ population in the country were expected to be local made brands such as Ford, Holden, Toyota, Nissan etc. with this idea in mind therefore, observations were made across the major points of roads intersection (i.e. Verve Bar, Moore Park and Carlingford) that formed major traffic circles in three major streets in the city of Sydney where the brands of cars were recorded in different three time intervals (i.e. 8:00 am to 8:30 am, 12:30 pm to 1:00 pm and lastly 5:00 to 5:30 pm). The frequency of the car brands as recorded from the observation were therefore expected to be used in the comparison for clarity of the pre-formed conclusion by our expectations.
Results, Data Analysis and Discussion of Results
Table 1: Origin of Car Brands | ||||
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
Australia |
43 |
62.3 |
62.3 |
62.3 |
Foreign |
26 |
37.7 |
37.7 |
100.0 |
Total |
69 |
100.0 |
100.0 |
|
As recorded in the table above, a larger percentage of the cars that were spotted at the time of observation in the intersection road points in the city of Sydney represented by 62.3% were the Australian local made cars compared to 37.7% that represented the foreign cars that were imported in the country.
From the collected data, Holden being one of the local made car brands in Australia, it was represented by 24.6% of the observed cars, Jaguar a foreign car brand was represented by 5.8%, Toyota another local made brand was represented by 26.1%, Honda was represented by 2.9% and Nissan was represented by 8.7% of the observed car brands though they were as well the local made brands. Other foreign car brands such as Subaru was represented by 7.2%, Hyundai 5.8%, Lexus 8.7%, BMW 4.3% and finally Mercedes Benz 5.8%.
Table 2: Car brand * Origin Crosstabulation | |||||
|
Origin |
Total | |||
Australia |
Foreign | ||||
Car_brand |
Holden |
Count |
17 |
0 |
17 |
% within Car_brand |
100.0% |
0.0% |
100.0% | ||
Jaguar |
Count |
0 |
4 |
4 | |
% within Car_brand |
0.0% |
100.0% |
100.0% | ||
Toyota |
Count |
18 |
0 |
18 | |
% within Car_brand |
100.0% |
0.0% |
100.0% | ||
Honda |
Count |
2 |
0 |
2 | |
% within Car_brand |
100.0% |
0.0% |
100.0% | ||
Nissan |
Count |
6 |
0 |
6 | |
% within Car_brand |
100.0% |
0.0% |
100.0% | ||
Subaru |
Count |
0 |
5 |
5 | |
% within Car_brand |
0.0% |
100.0% |
100.0% | ||
Hyundai |
Count |
0 |
4 |
4 | |
% within Car_brand |
0.0% |
100.0% |
100.0% | ||
Lexus |
Count |
0 |
6 |
6 | |
% within Car_brand |
0.0% |
100.0% |
100.0% | ||
BMW |
Count |
0 |
3 |
3 | |
% within Car_brand |
0.0% |
100.0% |
100.0% | ||
Mercedes-Benz |
Count |
0 |
4 |
4 | |
% within Car_brand |
0.0% |
100.0% |
100.0% | ||
Total |
Count |
43 |
26 |
69 | |
% within Car_brand |
62.3% |
37.7% |
100.0% |
The above contingency table was used to compare for the association between car brands and the origin. The Chi- square test was thereafter conducted to determine the association between the two variables and the results of the test were as displayed in the chi square table 3 below.
Table 3: Chi-Square Tests | |||
|
Value |
df |
Asymp. Sig. (2-sided) |
Pearson Chi-Square |
69.000a |
9 |
.000 |
Likelihood Ratio |
91.422 |
9 |
.000 |
N of Valid Cases |
69 |
|
|
a. 16 cells (80.0%) have expected count less than 5. The minimum expected count is .75. |
The significance values for the test being that it was less than the p-value i.e. (0.05) for the Pearson Chi-Square, it therefore confirmed that there indeed existed an association between the car brand and the origin of the cars since the test was statistically significant. Considering the percentage of the number of expected counts less than 5, the percentage is greater than 20% hence could lead to otherwise conclusion that would be different from this made conclusion.
Table 4: Symmetric Measures | |||
|
Value |
Approx. Sig. | |
Nominal by Nominal |
Phi |
1.000 |
.000 |
Cramer's V |
1.000 |
.000 | |
N of Valid Cases |
69 |
| |
a. Not assuming the null hypothesis. | |||
b. Using the asymptotic standard error assuming the null hypothesis. |
Cramer’s V was used in order to test for the strength of association of car brand and car origin which further confirmed that there was strong association between the two variables as the strength value displayed was (1.000).
Discussion of the results
From the observations that were made, the results revealed that the local made car brands were many on the streets of city of Sydney compared to foreign or imported car brands since the Australian cars formed 62.3% of the observations made. This therefore led to answer the question that there were more Australian made cars on roads in the city than foreign made cars. Specific Australian made cars that were common on the roads were Toyota and Holden represented by 26.1% and 24.6% respectively. Foreign products are available or imported in Australia as a result of free trade agreement with other countries which liberalizes access to Australian market for goods and services and also investments, this is according to (Miller et al, 2015). The free trade agreements also aimed at protecting the local products as confirmed by the dominance of the local made cars on the roads. As well, it also confirmed why foreign cars could be spotted on the roads in a substantial percentage of 37.3%. According to (Arminger et al, 2013), contingency tables are used to check for association between categorical variables. It was therefore used to test for association between car brands and origin which were then found to be strongly associated.
Conclusion
It can therefore be concluded from the results that most of the cars that were seen on roads
on the streets in city of Sydney were Australian made cars which responds to the hypothesis of there being more Australian made cars than the foreign cars.
References
Miller, T., Kim, A. B., & Holmes, K. (2015). 2015 Index of economic Freedom.Washington DC: The Heritage Foundation.
Arminger, G., Clogg, C. C., & Sobel, M. E. (Eds.). (2013). Handbook of statistical modeling for the social and behavioral sciences. Springer Science & Business Media.
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