• Statistics play a vital role in virtually all branches of science. Statistical methods are commonly used for analyzing experiment results, testing their significance and displaying the results accordingly.

• In order for a scientist to make an objective judgment as to whether or not a particular hypothesis can be established by a set of collected data, an objective method for either accepting, or rejecting, that hypothesis must be used. This is why, when collating these results, it is essential that statistics are included to ascertain the level or degree of accuracy in the hypothesis.

• Statistics can be used to explain qualitative, as well as the more easily decipher quantitative, results - that is to say it is possible for statistics to reveal elements of an experiment that would ordinarily be referred to by a characteristic value, rather than in a measurable way.

• The significance of statistical figures can be seen best when validating solid arguments or predictions out of hypotheses or conjectures that may seem overwhelming to a layman. It is far easier for the general public to understand the results of an experiment in greater clarity and detail if they have the simple reference point of numbers rather than scientific language, mathematics or equations.

• It could be argued that without the use, and advancements, of statistics and statistical research the empirical observations of today's scientists and inventors would be far less accurate and progressive. We all benefit from the developments and improvements in science that have been made to our day-to-day life, most of the time taking for granted what has been achieved with the aid of statistics.

Statistics are very important in science as well as technology for a number of reasons.

• In order for a scientist to make an objective judgment as to whether or not a particular hypothesis can be established by a set of collected data, an objective method for either accepting, or rejecting, that hypothesis must be used. This is why, when collating these results, it is essential that statistics are included to ascertain the level or degree of accuracy in the hypothesis.

• Statistics can be used to explain qualitative, as well as the more easily decipher quantitative, results - that is to say it is possible for statistics to reveal elements of an experiment that would ordinarily be referred to by a characteristic value, rather than in a measurable way.

• The significance of statistical figures can be seen best when validating solid arguments or predictions out of hypotheses or conjectures that may seem overwhelming to a layman. It is far easier for the general public to understand the results of an experiment in greater clarity and detail if they have the simple reference point of numbers rather than scientific language, mathematics or equations.

• It could be argued that without the use, and advancements, of statistics and statistical research the empirical observations of today's scientists and inventors would be far less accurate and progressive. We all benefit from the developments and improvements in science that have been made to our day-to-day life, most of the time taking for granted what has been achieved with the aid of statistics.

Statistics are very important in science as well as technology for a number of reasons.

- Research

- Significance

- Predictions