Descriptive Statistics and Interpretation

August 28, 2014

Mohammad Sharifzadeh

Introduction

Tess Motors has hired us “Three Amigos research firm” to solve some of the challenges being faced by the company. The major hurdles across these effects are both the dependent variables, namely- computer failures and the abrupt car stalls. Both are the separate variables, but they can occur at any given piece time either individually or together. The research work given below helps us to focus on the probability of their occurrence.

Background

Using this organization and experimental design of our Team, a random sampling procedure is constructed for the experiment. The independent variable is the computer failures and the abrupt car stalls. The research question also includes the relationship between the sales of the product along with the materials being used in the computer parts. Since ‘Tess Motors’ is a high-end 100% electric vehicle manufacturer based in California. The price range of their cars ranges from $71,000 to $100,000. Thus, it is a key responsibility of the firm to deliver a good quality car to the customers. Thus, they can retain their customer loyalty as the firm has been top rated previously. (Hirsch, 2014)

Business Problem

Recently, the company had electronic issues with their cars. Cars would stall on the road for no reason; door handles would not work, and the touch screen that controls other functions would stop working. Thus considering all the above mentioned the reason we need to find out a key to minimize such queries. Using an observational study, a survey was performed to understand the consumer’s perception related to our project. Furthermore, the sales with and without displays were recorded for the inferential analysis. (Hirsch, 2014). Since the present target of the firm is to increase the sale of more than 20,000 cars, it is mandatory to resolve all the consumer query which has implemented a negative effect in the reports.

Research team role. The team will determine if the independent variable is the cause of the problem and how it may affect future surveys from the Consumer Reports.

Data Collection

The data were collected using a simple sampling method. People were chosen randomly to fill the questionnaire, with the personal information including the age, gender and age group. Rest other question of the survey is related to reliably measure the perception of the customers for our cars.

Below is the survey:

1. Gender (M/F)?

2. Age group?

a. 21-30

b. 31-40

c. 41-50

d. 51+

3. The best car you prefer from our product line?

4. Reasonable price?

5. If there is a difference in the quality of our cars? Suggested price if you wish to purchase one?

6. Feedback if you have any query while using our car? (For the existing customers)

Simple Sample and Reliability

A simple sampling method is implemented to overcome the hurdles, which ensures the maximum randomness as compared with the other methods of sampling. Moreover, using such method minimizes the bias, for our convenience which is much faster and easier for manipulating the results. The sample obtained from the participants were observed carefully and thus the database gathered helps us to conclude a favorable outcome for solving the customer's problem related to experiencing a fire in Tesla due on-board computer. (Smith, 2013)

Appendix B

While calculating the data, the calculation of Sample Size with 95% Confidence Level, 5% Margin of Error, and 0.05 Standard Deviation (Std. Dev) are as follows:

Conclusion

Understanding the correlation between both the variables, serve as important decision making information for the company. Furthermore, understanding the causes of various problems favors to grow our company and enhance our sale by the minimized negative feedback of customers. The relationship between the two variables will serve as important information for us and our customers. Finally, while concluding the entire observation would like to say that we should at least continue the survey of more than 400 participants to minimize any error while considering the results interpreted by the data for our company.

Reference