Applied Statistics and Forecasting

Applied statistics and Forecasting

INTRODUCTION
Statistics is a science which is related with developing and studying methods for
collecting and analyzing the empirical data. This in turn also assist in the forecasting and that is
why most of the top companies uses this tool in order to recover the business presentation. The
present study also assist to increase the information relating to the statistics and this will further
be helpful to create a better outcome in order to generate a brand image at global level. The
current study is based upon two different topics in which inferential tool will be applied that
helps to determine about usage of different tools over it.
METHODOLOGY AND DATA
It is necessary for the scholar to choose the methodology according to the research
questions which in turn assist to accomplish the set aim and objectives. The methodology for the
present study is as mentioned below:
Research type: Generally, there are two types of research i.e. qualitative and
quantitative. For the current report only quantitative research type has been adopted which in
turn deals with figures and facts and also help to understand the trend (Hacker and et.al., 2022).
In the context of present research, scholar actually uses tools and technique in order to
understand the relationship between factors. Thus, deal with figures and numbers, the selected
type has been accepted over other.
Research approach and philosophy: As per the chosen research type, scholar adopted
only interpretivism philosophy and deductive research approach that helps to determine the
issues. With the help of this approach, researcher can easily answer the research questions and
also assist to generate a better outcome (Garrison, 2022). That is why, to conclude the answer
and make the research more effective, the chosen approach will be beneficial.
Data collection: There are two ways through which the data can be collected and in the
current report, only secondary data collection methods has been used which assist to meet the set
research questions. In this, the data are already collected from the official sites and this in turn
assist meet the defined aim. Also, in order to support the results, relevant books and articles has
been selected to meet the set aim.

Data analysis: Once the data has collected, it is necessary for the researcher to analyse
the information in order to reach to a valid results. There are two ways through which the data
can be analysed which includes Thematic and SPSS. For the present research, only SPSS as a
data analysis method has been adopted in which scholar can generate the valid result. With the
help of this software, the study uses different tools that assist to create a better consequence and
answer the investigation queries. With the help of such analysis, the scholar can present the
findings in an actual way in order to reach a valid conclusion.
ANALYSIS AND FINDINGS
Task 1: relationship between casual factors and effect on probability of ability salary
Null hypothesis: There is no statistical difference between the mean value of salary and casual
factors (publication, position, universities, state)
Alternative hypothesis: There is a statistical difference between the mean value of salary and
casual factors (publication, position, universities, state)