英语论文网

sion Analysis, Mean, Median, Mode, Hypothesis Testing

Steps involved in analysis:

Our first step was to scrutinize and identify the factors responsible for GDP growth of a nation.

Next, we tried locating data of the identified factors for the past 20 years.

Than we tried finding relationship of various factors with the GDP of a nation.

The data was than constructed and summarised in a proper manner to conduct regression analysis.

SPSS software was used to conduct the regression analysis and hypothesis testing.

All the data and factors collected are using the secondary sources, i.e., Internet and Journals.

4. Data Description:

N i.e. the number of observations for our research is 20.

There are two types of data:

Qualitative

Quantitative

Qualitative data deals with categorical measurement and is not measured in terms of numeric values. For our study the qualitative factors can be like Market Risk, Business Confidence etc, which affects the GDP but due to their qualitative nature we overlooked them of the study.

Quantitative data deals with the numerical measurement of the database. Relating to our study, the quantitative data factors are Population, GDP, Lending interest rates, FDI etc.

We have limited our research taking in account only the quantitative data.

Data can also be time series or cross sectional:

Cross sectional data is the data for a given point of time analyzing the differences among the subjects.

Whereas time series data is concerned with the data over a spread time course

In our report we are using time-series data, for 20 years i.e. from 1991 to 2010.

Regression Analysis:

Regression Analysis means scrutinizing the relationship between a dependent and independent variable. After conducting an analysis, regression statistics is helpful in identifying the dependent variable when the independent variables are unknown.

Dependent Variable- GDP growth of India

Independent variable- FDI, Employment to Population ratio and Real Interest Rate

The regression equation is:

Y=b1X1+b2X2+....+E

In the above equation-

Y= dependent variable

X1, X2 ...=independent variables

b1, b2 ...=coefficients describing effect of independent variables on the dependent variables

E=error term

In our study, the equation looks like,

GDP=b1F1+b2F2+b3F3+...+bnfn

Where,

F1 to Fn= independent variable factors

Hypothesis testing:

Hypothesis testing is the test of significance wherein we identify the likelihood that an assumption is true, and at what likelihood we would hold the assumption as true. The assumption made is referred as the Null hypothesis and is denoted by H0 and an alternate hypothesis is defined known as an Alternative Hypothesis and is denoted by Ha. The rationale behind this test is to hold null hypothesis to be true and then performing the study on the argument in question. Once the hypothesis is defined and data is collected and constructed, following steps of hypothesis are followed:

本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。