# data[].attributes.body
a) Primary

b) 190 workshops in Muar Johor

c) 35 bicycle workshops, 50

motorcycle workshops, 85 car workshops, and 20 heavy vehicle workshops in Muar, Johor

d) The study of morbidity

among automobile service and repair workers in Muar, Johor

e)  Data collection: Quantitative approach, online Questionnaire (google-form)

Data analysis: Descriptive; frequency, percentage, mean, standard deviation

Justification: Because it is more efficient when collecting data from a large sample

# data[].attributes.body
a. Secondary, the reason is that "the group of researcher" is the one conducted the research. Primary is data that been collected by the person himself.
b. 190 workshops in Muar Johor
c. Purposive sampling, The researchers want to know more about the opinions on how repair workshops operate, so the researcher purposefully select 57 workshops as a part of the study.
d. A survey on different kind of repair workshops in Muar, Johor.
e. Quantitative approach
The data collection that's suitable to the study is questionnaires because they provide a quick, efficient, and low-cost way to collect huge amounts of data from big sample sizes. Cross tabulation data analysis method because the researchers intended to draw out the data from different category of workshops, therefore this data is mutually exclusive or have some connection with each other which is suitable to use this analysis method.

# data[].attributes.body
a) Secondary

b) 190 workshops

c) Purposive Sampling
The researchers wanted to learn more about people's perspectives on how repair shops operate, so they chose 57 workshops to participate in the study.

d) Research on different types of repair workshops in Muar, Johor.

e) Quantitative approach
Because the researchers wanted to pull data from a variety of workshops, they used cross tabulation data analysis. Because the data is mutually exclusive or has some link with one other, it's a good fit for this method. Because the researchers wanted to pull data from a variety of workshops, they used cross tabulation data analysis. Because the data is mutually exclusive or has some link with one other, it's a good fit for this method.

# data[].attributes.body
a) Is the data primary or secondary?

= The data is primary.

b) State the population for the study.

= 190 repair workshops in Muar, Johor.

c) State the required sampling frame.

= Cluster sampling.

This method is good for dealing with large and dispersed populations, but there is more risk of error in the sample, as there could be substantial differences between clusters. It’s difficult to guarantee that the sampled clusters are really representative of the whole population. Cluster sampling also involves dividing the population into subgroups, but each subgroup should have similar characteristics to the whole sample. Instead of sampling individuals from each subgroup, you randomly select entire subgroups.

d)Construct the suitable Research Topic.

= The Difference of Service Quality Level and Customer Satisfaction at 4 Types of Workshop in Muar, Johor.

e) Which is the most suitable method of data collection to use and what will be the Data Analysis method? Give ONE (1) justification based on the answer.

Data Collection: Quantitative approach. The data collection to use is survey because it can collect information from a targeted group of people about their preferences, opinions, or feedback related to their services.

Data Analysis method: Cross-tabulation analysis as it is a method to quantitatively analyze the relationship between multiple variables and is especially useful for studying market research. It can also be done through software like SPSS, SAS, and Microsoft Excel.

# data[].attributes.body
1) Primary

2) 190 workshops in Muar Johor

3) 35 bicycle workshops, 50 motorcycle workshops, 85 car workshops, and 20 heavy vehicle workshops

4) Frequency types of vehicles being repaired in Muar Johor

5) Quantitative - Survey
Data Analysis method- Descriptive
Justifications- This method help the researchers to find exact number of type of vehicles being repaired in the shop.

# data[].attributes.body
1) The data is primary.

2) 190 repair workshops in Muar, Johor.

3) Multi stage cluster sampling. 57 workshops in Muar

4) A survey of service quality automobile workshops on customer's satisfaction.

5) Data collection method: Survey questionnaire (likert scale)
Data analysis method: Descriptive analysis.
Justification: Descriptive statistics can help in summarizing data thus describing a population or situation accurately and thoroughly (this research study large sample, therefore, descriptive data is used to save cost and time).

# data[].attributes.body
a. Is the data primary or secondary?
- Primary

b. State the population for the study.
- 190 workshop in Muar, Johor

c. State the required sampling frame.
- 35 bicycle workshops, 50 motorcycle workshops, 85 car workshops and 20

heavy vehicle workshops

d. Construct the suitable Research Topic.
- A study in the types of vehicles broke the most in Muar, Johor.

e. Which is the most suitable method of data collection to be

used and what will be the Data Analysis method? Give ONE

(1) justification based on the answer.
- Quantitative approach and by using questionnaire for survey.
- It is a very suitable approach to use in order to gather the data from a huge sample size and by using this method it is less time consuming.

# data[].attributes.attachment_caption
NURAFIQAHLIYANA BINTI ABDUL AJIS,  NUR ALIA FARINA BINTI KHAIRIZAL, NUR AINA SURAYA BINTI KHALID, NUR ALISSA ROYDEAN & NUR SYAKIRA BINTI MAHAMAD FIKRI.

# data[].attributes.body
A. Primary data sources include information obtained directly from individuals, scenarios, real-world surroundings, and actions.

B. Population of the study
190 workshops in Muar, Johor.

C. 35 bicycle workshops, 50 motorcycle workshops, 85 car workshops, and 20 vehicle workshops.

D. A survey on customers' satisfaction with different repair workshops in Muar, Johor.

E.  The best way to collect data and figure out what to do with it is to use a quantitative survey questionnaire. This will also be the best way to analyse the data. It will be much easier and take less time to get the information.