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this is data which is within the same range i.e : Grouped data (set of numbers)
It may be negative(left) or positive (right)
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Explain about Nature and scope of business statistics?
all fied is collect of data then needs of sytistics
What are relationship between econometrics and statistics?
Econometrics is basically applied statistics. The theory you learn in statistics can be used to answer questions posed in the field of economics. Because this application is mathematical, it allows economists to perform research using economic data in an empirical, scientific, and rigorous manner.
Why are graphs useful?
Graphs are useful in various ways. They are commonly used in statistics to represent data which can be easily interpreted by other users.
Business statistics ken black 5th edition?
specific data on marketing management information system human resources finance production
What are the misuses of statistics?
The misuses of statistics are too numerous to list. One of best books published on this subject, "How to Lie with Statistics", by Darrell Huff, published in 1954 is still in print, much longer than any textbook on the subject of statistics. An excellent starting point, but certainly not the only source on the subject, is wikipedia: http://en.wikipedia.org/wiki/Misuse_of_statistics Statistics, if I narrowly define it, as values resulting from numerical calculations made from a set of data, are not the problem. Any set of collected data will have just one mean value, one standard deviation, and other measures. The measures can be easily checked and verified. But in a broader context, the discipline of statistical analyses, includes the planning of data collection, the verification of collected data, the assessment or evaluation of potential errors in collection and results, and misinterpretation, either intentionally or unintentionally. The discipline of statistics when correctly applied is an unbiased interpretation of data in a critical manner. But, if the interpretation fits pre-conceived ideas, then frequently the critical examination is neglected. Some statistical analyses fit the category as simply speculative or controversial conclusions. Our first look at data, is with graphs, and the art of biasing graphs for the sake of making them more supportive our conclusions - is part of the misuse of statistics. See: http://www.roofable.com/2007/10/03/how-to-lie-with-graphs-the-ny-times-as-real-estate-case-study/ You will find many other examples by doing google searches in the internet.
What are the differences between Homogeneous and non homogeneous data structures?
in homogeneous data structure all the elements of same data types known as homogeneous data structure. example:- array while there can b any type of data in non homogeneous data structure. example:- list
What is a homogeneous data structure and why is this a weakness for RDBMS?
in homogeneous data structure all the elements of same data types known as homogeneous data structure. example:- array
What is homogeneous data structure?
collection of dissimilar type of data is called non homogeneous data structure as for example structure .
What is type of data connection?
data is collection of data nd is many type linear non linear homogeneous non homogeneous etc
3 ways of presenting data in statistics?
ways of presenting data in statistics
What is non homogeneous material?
collection of dissimilar type of data is called non homogeneous data structure as for example structure .
What are cases in statistics?
In statistics, cases are comprised of the data that is being studies. The cases in statistics can be updated frequently as the data changes.
What are descriptive statistics and inferential statistics?
Descriptive statistics is a summary of data. Inferential statistics try to reach conclusion that extend beyond the immediate data alone.
Why it is said all statistics are data but all data are not statistics?
All statistics are data because all statistics are formed of numbers and numbers are a type of data (numrical). But not all data is statistics because not all data is numbers, it can also be words, pictures etc. It's like saying all apples are fruit but all fruit are not apples.
Statistics may be regarded as the study of the reduction of the data?
The answer is generally no. I note there is no hard and fast definition of the field of statistics. The definition of the field or discipline of statistics is not to reduce the number of values in the set of collected data. An objective of statistics is to characterize or add meaning to the collected data, through calculated values of the data. In this sense, statistics summarizes the data.
Which data structure can't store the homogeneous data elements?
arrays
What data structure is used to store homogeneous data item?
array
