# HSC Statistics 2nd Paper Question Rajshahi, Cumilla, Chattogram, Barishal Board 2018

HSC Statistics 2nd Paper Question Rajshahi, Cumilla, Chattogram, Barishal Board 2018. Statistics is the study of the collection, organization, analysis, interpretation, and presentation of data. It deals with all aspects of data, including the planning of data collection in terms of the design of surveys and experiments.

Statistics is the study of the assembly, analysis, clarification, exhibition, and organization of data. In applying statistics to e.g., scientific, industrial, or social problems, it is conventional, to begin with, a statistical population or a statistical model process to be deliberate.

## HSC Statistics 2nd Paper Question Rajshahi, Cumilla, Chattogram, Barishal Board 2018

Statistics is the study of the assembly, analysis, clarification, exhibition, and organization of data. In applying statistics to e.g., scientific, industrial, or social problems, it is conventional, to begin with, a statistical population or a statistical model process to be deliberate.

HSC All Board Statistics 2nd Paper Board Question 2018. Statistics is the study of the collection, organization, analysis, interpretation, and presentation of data. It deals with all aspects of data, including the planning of data collection in terms of the design of surveys and experiments.

Statistics is the discipline that concerns the collection, organization, displaying, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional, to begin with, a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as “all people living in a country” or “every atom composing a crystal”. Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments. See the glossary of probability and statistics.

When census data cannot be collected, statisticians collect data by developing specific experiment designs and survey samples. Representative sampling assures that inferences and conclusions can reasonably extend from the sample to the population as a whole. An experimental study involves taking measurements of the system under study, manipulating the system, and then taking additional measurements using the same procedure to determine if the manipulation has modified the values of the measurements. In contrast, an observational study does not involve experimental manipulation.

Two main statistical methods are used in data analysis: descriptive statistics, which summarize data from a sample using indexes such as the mean or standard deviation, and inferential statistics, which draw conclusions from data that are subject to random variation (e.g., observational errors, sampling variation).

Descriptive statistics are most often concerned with two sets of properties of a distribution (sample or population): central tendency (or location) seeks to characterize the distribution’s central or typical value, while dispersion (or variability) characterizes the extent to which members of the distribution depart from its center and each other. Inferences on mathematical statistics are made under the framework of probability theory, which deals with the analysis of random phenomena.

A standard statistical procedure involves the test of the relationship between two statistical data sets, or a data set and synthetic data drawn from an idealized model. A hypothesis is proposed for the statistical relationship between the two data sets, and this is compared as an alternative to an idealized null hypothesis of no relationship between two data sets.

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