1. Statistics is the science of collecting, analyzing, and interpreting quantitative data. It helps to summarize large data sets and make inferences about entire populations based on samples. 2. There are different types of statistical data including descriptive statistics, which summarize data, and inferential statistics, which are used to test hypotheses. 3. Statistics has many applications including use in research design, data analysis, and interpreting results in fields like biology, medicine, and public health. Proper collection and analysis of data is important for drawing accurate statistical conclusions.

2.  This is a type of science which analyzes data in large quantities in
inferring proportions in a whole from those in a representative
sample.
 Typically a numerical data showing different categories with
different periods of time.

3.  It is a mathematical body of science that pertains to the
collection, analysis, interpretation or explanation, and
presentation of data, or as a branch of mathematics. Some
consider statistics to be a distinct mathematical science rather
than a branch of mathematics.
 Mathematical statistics is the application of mathematics to
statistics, which was originally conceived as the science of the
state — the collection and analysis of facts about a country: its
economy, land, military, population, and so forth. Mathematical
techniques include mathematical analysis, linear
algebra, stochastic analysis, differential equations, and measure-
theoretic probability theory.

4.  Sampling
 When full census data cannot be collected, statisticians
collect sample data by developing specific experiment
designs and survey samples. Statistics itself also provides
tools for prediction and forecasting the use of data
through statistical models. To use a sample as a guide to
an entire population, it is important that it truly
represents the overall population.
Representative sampling assures that inferences and
conclusions can safely extend from the sample to the
population as a whole. A major problem lies in determining
the extent that the sample chosen is actually
representative. Statistics offers methods to estimate and
correct for any bias within the sample and data collection
procedures.

5.  Planning the research, including finding the number of replicates
of the study
 Design of experiments, using blocking to reduce the influence
of confounding variables, and randomized assignment of
treatments.
 Performing the experiment following the experimental
protocol and analyzing the data following the experimental
protocol.
 Further examining the data set in secondary analyses, to suggest
new hypotheses for future study.
 Documenting and presenting the results of the study.

6.  There are four types of data. The psychophysicist Stanley Smith
Stevens defined:-
1. Nominal
2. Ordinal
3. interval
4. ratio scales
 Nominal:-It is a type of a measurement that do not have a
meaningful rank order among values, and permit any one-to-one
transformation.
 Ordinal:-A measurement which have imprecise differences
between consecutive values, but have a meaningful order to
those values, and permit any order-preserving transformation.
 Interval:- Interval measurements have meaningful distances
between measurements defined, but the zero value is arbitrary
(as in the case with longitude and temperature measurements
in Celsius or Fahrenheit), and permit any linear transformation.

7.  Ratio:- A type of measurement that have both a meaningful zero
value and the distances between different measurements
defined, and permit any rescaling transformation.
• Because variables conforming only to nominal or ordinal
measurements cannot be reasonably measured numerically,
sometimes they are grouped together as categorical variables,
whereas ratio and interval measurements are grouped together
as quantitative variables, which can be either discrete
or continuous, due to their numerical nature. Such distinctions
can often be loosely correlated with data type in computer
science, in that dichotomous categorical variables may be
represented with the Boolean data type, polychromous
categorical variables with arbitrarily assigned integers in
the integral data type, and continuous variables with the real
data type involving floating point computation. But the mapping
of computer science data types to statistical data types depends
on which categorization of the latter is being implemented.

8.  Statistics are aggregates of facts.
 Statistics are numerically expressed.
 Statistics are collected for a predetermine purpose.
 Statistics are collected in a systemic manner.
 Statistics are aggregates of facts:- It means an a whole formed by
combining several separate elements . It also means that a
collection of numerical or quantitative expressions of facts i.e.
'numerical data' or simply 'data‘.
 Statistics are numerically expressed:- A data relating to a fact that
is a word naming an attribute of a noun carry to a place, which
are violently calculate according to a reasonable standard of the
quality collected in a system happens for a establish created and
put in a particular position in things are connected to each other.

9.  Statistics are collected for a predetermine purpose:- Data should
be collected with some pre determined purpose. Figures should
be collected with some objective in mind.eg-if we want collect
data on prices, then we must be clear whether we have to collect
wholesale or retail prices.
 Statistics are collected in a systemic manner:- For the quality that
attribute of any computer-related component (software, or
hardware, or a network, for example) that consistently performs
according to its stating a precise requirement of data, a number
should be self-controlled in a acting according to a fixed plan way
in which the thing is done.

10.  Descriptive Statistics
 Scientific Statistics
 Descriptive Statistics:- Descriptive statistics are a set of
brief descriptive coefficients that summarizes a given data set,
which can either be a representation of the entire population or a
sample. The measures used to describe the data set are
measures of central tendency and measures of variability or
dispersion.
 Scientific Statistics:- The branch of mathematics that deals with
the collection, organization, analysis, and interpretation of
numerical data. Statistics is especially useful in drawing general
conclusions about a set of data from a sample of the data.

11. 1. Statistical helps in collecting an appropriate quantitative data.
2. Statistical helps in proper and efficient planning of a statistical
inquiry in any field of study.
3. Statistics helps in providing a better understanding and exact
description of a phenomenon of nature.
4. Statistics helps in understanding the nature and pattern of
variability of a phenomenon through quantitative
obersevations.

12.  Statistical methods are best applicable on quantitative data.
 Statistical cannot be applied to heterogeneous data.
 Statistics laws are true on average. Statistics are aggregates of
facts. So single observation is not a statistics, it deals with groups
and aggregates only.
 It sufficient care is not exercised in collecting, analyzing and
interpretation the data, statistical results might be misleading.

13.  Biostatistics is the application of statistics to a wide range of
topics in biology. The science of biostatistics encompasses the
design of biological experiments, especially
in medicine, pharmacy, agriculture and fishery; the collection,
summarization, and analysis of data from those experiments; and
the interpretation of, and inference from, the results. A major
branch of this is medical biostatistics, which is exclusively
concerned with medicine and health.

14.  They are most often found in schools of public health, affiliated
with schools of medicine, forestry, or agriculture, or as a focus of
application in departments of statistics.
 Thus, departments carrying the name "biostatistics" may exist
under quite different structures. In larger universities where both
a statistics and a biostatistics department exist, the degree of
integration between the two departments may range from the
bare minimum to very close collaboration.

15.  Statistics. (n.d.). Retrieved May 13, 2016, from
https://en.wikipedia.org/wiki/Statistics