FIN10002 Report on Financial Statistics

FINANCIAL
STATISTICS
FIN10002
STUDENT ID:
[Pick the date]

Financial Statistic
Executive Summary
The given report aims to carry a statistical analysis of the sample data pertaining to the sale of
supplies. In this process, various descriptive and inferential statistical techniques have been
deployed. The various variables in the sample data have been summarised using appropriate
computational and graphical tools available under the aegis of descriptive statistics. Further,
using the inferential statistics technique various claims have been tested with regards to the
sales population data and also appropriate intervals for mean have been determined. The
hypothesis tests conducted do not suggest any support for the claims made. However, the
confidence interval determined seems accurate as has been verified from the population data.
Also, linear regression has been done to highlight the nature and extent of relationship
between the order quantity and sales but this did not yield any statistically significant
relationship. These results though valid may have limited relevance owing to the data being
historically quite old and hence the current patterns and observations may deviate
significantly from the sample or population data taken into consideration.

Financial Statistic
Introduction
The objective of the given report is to highlight the key attributes of the given data and also
use the sample data to make predictions about the population especially in relation to the
shipping costs, regional sales, shipping priority. In order to describe the sample data various
descriptive statistics techniques have been used while for testing claims about population,
inferential statistical techniques such as hypothesis testing have been deployed. For this
analysis, a random sample of 60 data has been used which has been derived from the original
sales data containing information about 2002 transactions. Both these raw and sample data
would be reflected in the Appendix section. Further, the various computations along with
their excel workings would also be found in Appendix. However, the implications of these
results along with the relevant graph would be found in suitable sub-section of the analysis
section.
Analysis
Descriptive Statistics
The first variable is order priority. Considering that it is a ordinal variable the relevant graph
and frequency table is as highlighted below.

Financial Statistic
From the above table and the bar graph it is apparent that the given distribution is not normal.
Also, the average order priority is 1.88 while the most prevalent order priority level is 1.
Thus, it implies most of the orders do not tend to have a high or a critical priority. Also, the
dispersion in the given variable seems to be moderately high considering the wide prevalence
of priority order 1 and 3.
The second variable of interest is the sales in dollars. Considering that it has numerical data
the relevant graph and summary statistics are highlighted below.