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Why do managers need to know statistical methods?
because there are projects that include statistical methods.
What are the advantages and disadvantages of using a statistical model?
The importance of statistical modeling is obvious because we often need modelling for the purpose of prediction, to describe the phenomena and many procdures in statistics are based on assumption of a statistical model. Modeling is also important for statistical inference and make decision about population parameter. M. Yousaf Khan
What to do when a continuous probability is used to approximate a discrete probability distribution?
You may need to make a continuity correction - see statistical text books for details.
What is the importance of statistics in the field of government agent?
sers with a research interest are universities, consultants and government agencies. They generally understand something about statistical methodology and want to dig deeper into the facts and the statistical observations; they have an analytical purpose in inventing or explaining interrelations of causes and effects of different phenomena. In this field, official statistics are also used to assess a government's policies.One common point for all these users is their need to be able to trust the official information. They need to be confident that the results published are authoritative and unbiased. Producers of official statistics must maintain a reputation of professionalism and independence.The statistical system must be free from interference that could influence decisions on the choice of sources, methods used for data collection, the selection of results to be released as official, and the timing and form of dissemination. Statistical business processes should be transparent and follow international standards of good practice.Statistical programs are decided on an annual or multi-annual basis by governments in many countries. They also provide a way to judge the performance of the statistical system.
Why need the statistics in medical sciences?
Statistical analysis is important in many branches of science. When understood and correctly applied, statistics can help us decide whether or not the results of a research project support the initial claim of the researchers.
