automative
Student Registration number
N0433493
Name
Harpreet Singh Dulai
Introduction
Statistics are collection of samples from raw data, which enable users to understand and interpret quantitative data in order to draw up conclusions and create future predictions. (Valerie J.Easton & John H.McColl) One beneficial programme has been created in order to simplify sampling through large amounts of data. This can be founded through computer packages.
The computer package that has been implemented is SPSS. This package is designed specifically for statistical purposes. It provides various tools that construct graphical data in addition to performing various statistical tests. Furthermore, it has many other facilities to enhance the quality of statistical information. This assignment will demonstrate two groups of sample data acquired from two large sectors of businesses. This information was obtained from a database called FAME. Each set of data contains 34 variables from companies within the sectors. The first sector is printing, publishing & media, also known as sector 22 and the second sector is transport, sector 63. The variable acquired from this database was company turnover.
SPSS uses two sets of samples in order to analyse and compare. In order to present an evaluation on the companies, a box plot (box & whisker) will be created. A box plot is particularly useful when observing two sets of data as it shows the distribution, median, maximum and minimum values, and the lower and upper quartiles which can be comparable. A box plot will also expose any outliers as they will be displayed outside the whisker bounds. (BUGLEAR 2005).
This assignment also contains a time series of 20 values consisting of the number of exports outside the UK. This is obtained from the office of national statistic website.
Results & Discussion:
SECTION A Cross sectional data
A1 Variable Definition
The variable is represented as the turnover i.e. sales. (Valerie J. Eaton & John
N0433493
Name
Harpreet Singh Dulai
Introduction
Statistics are collection of samples from raw data, which enable users to understand and interpret quantitative data in order to draw up conclusions and create future predictions. (Valerie J.Easton & John H.McColl) One beneficial programme has been created in order to simplify sampling through large amounts of data. This can be founded through computer packages.
The computer package that has been implemented is SPSS. This package is designed specifically for statistical purposes. It provides various tools that construct graphical data in addition to performing various statistical tests. Furthermore, it has many other facilities to enhance the quality of statistical information. This assignment will demonstrate two groups of sample data acquired from two large sectors of businesses. This information was obtained from a database called FAME. Each set of data contains 34 variables from companies within the sectors. The first sector is printing, publishing & media, also known as sector 22 and the second sector is transport, sector 63. The variable acquired from this database was company turnover.
SPSS uses two sets of samples in order to analyse and compare. In order to present an evaluation on the companies, a box plot (box & whisker) will be created. A box plot is particularly useful when observing two sets of data as it shows the distribution, median, maximum and minimum values, and the lower and upper quartiles which can be comparable. A box plot will also expose any outliers as they will be displayed outside the whisker bounds. (BUGLEAR 2005).
This assignment also contains a time series of 20 values consisting of the number of exports outside the UK. This is obtained from the office of national statistic website.
Results & Discussion:
SECTION A Cross sectional data
A1 Variable Definition
The variable is represented as the turnover i.e. sales. (Valerie J. Eaton & John
References: Time series data Raw data (obtained on FAME Database 2013)