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In 1953, India's first indigenous computer was designed by Samarendra Kumar Mitra who headed the Computing Machines and Electronics Laboratory at ISI Calcutta. The Indian Statistical Institute was also hosted the first two digital computers in South Asia; the HEC-2M from England in 1956, and the URAL from the Soviet Union in 1959.
Misuse of statistics can be both inadvertent and intentional, and the book How to Lie with Statistics, [72] by Darrell Huff, outlines a range of considerations. In an attempt to shed light on the use and misuse of statistics, reviews of statistical techniques used in particular fields are conducted (e.g. Warne, Lazo, Ramos, and Ritter (2012)).
The first one is to answer a research question with descriptive study and the second one is to get knowledge about how attribute varies with individual effect of a variable in regression analysis. There are some ways to describe patterns found in univariate data which include graphical methods, measures of central tendency and measures of ...
In the United States, the ASA's guidelines for undergraduate statistics specify that introductory statistics should emphasize the scientific methods of data collection, particularly randomized experiments and random samples: [39] [50] further, the first course should review these topics when the theory of "statistical inference" is studied. [50]
A Bachelor of Science (BS, BSc, B.S., B.Sc., SB, or ScB; from the Latin scientiae baccalaureus) [1] is a bachelor's degree that is awarded for programs that generally last three to five years. [2] The first university to admit a student to the degree of Bachelor of Science was the University of London in 1860. [3]
Statistics is a field of inquiry that studies the collection, analysis, interpretation, and presentation of data. It is applicable to a wide variety of academic disciplines , from the physical and social sciences to the humanities ; it is also used and misused for making informed decisions in all areas of business and government .
Given any random variables X 1, X 2, ..., X n, the order statistics X (1), X (2), ..., X (n) are also random variables, defined by sorting the values (realizations) of X 1, ..., X n in increasing order. When the random variables X 1, X 2, ..., X n form a sample they are independent and identically distributed. This is the case treated below.
This coefficient, usually represented by ρ (rho) for the population and r for the sample, assumes values between −1 and 1, where ρ = 1 represents a perfect positive correlation, ρ = −1 represents a perfect negative correlation, and ρ = 0 is no linear correlation. [10]