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The textbook started by discussing concepts of survey sampling and
approaches used in drawing samples from populations, before going
on to apply these sampling methods in solving real life Business
and Economic problems. The writer then proceeded to discuss the
major probability distributions and their usefulness in Applied
Statistics, before he connected them to Chi-Square tests of
association and goodness of fit.The textbook then went further to
consider Analysis of Variance (ANOVA) and its applicability to
Business and Economics, ANOVA models before it ended by looking at
Time Series and Forecasting and Non-parametric Statistical tests.
The book is therefore intended to enhance the practical orientation
that Applied Statistics could bring to commercial degrees in
universities, in a world of unpredictable variations in forms of
technical advancements and innovations. The writer has a strong
conviction that students who are going to have modules in Applied
Statistics at undergraduate level, are going to benefit a lot from
the use of the textbook.
The textbook is heavily centered on sources and uses of finance, in
a world of dynamic changes mainly characterized by innovation and
massive technological advancement. The book then goes further to
consider the traditional and modern theories of capital structure,
as well as investment appraisal techniques and measurement of risks
and returns facing competing investment projects. It goes further
to look at methods used in determination of project cash flows,
before it considers dividend polices and theories firms can use in
their quest to grow and develop, and let alone reward shareholders
from time to time. It is the writer's belief that the book may be
found extremely useful in all Bachelor of Commerce degree
programmes that would be mainly concerned with sources of
conventional finance for investment purposes, hence there is no
doubt that the sequencing of content illustrations and explanations
of material in this book would go a long way to convince the reader
to use it on a regular basis to draw information for assignments,
for courses like investment analysis, corporate finance and
business finance in particular.
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