why is examination of data important?
100286
it helps you re-check to validate (and catch errors in) work that's been, reportedly, accomplished.
764277
during and distructive test, danger exists. knowlege of the equiptment and proceedures are a must. if the exact failure point is to be measured, then at yield the test should be slowed. It will also minimise flying samples.
41262
Because its a review of the information covered, not a blueprint of the test.
255903
Modern computing technologies help to automate the accumulation of huge amounts of data. For eg. with ERP and CRM systems one can collect vast amounts of information about customers.\n\nHowever, due to the sheer amount of data, the humans cannot get any "useful" information out of it. For that purpose, we need data mining -- it supports decision making process of the business organization.\n\nConsider an example: A company wants has plans launch an expensive beauty product. It has past data about shopping patterns of its customers (let's say, five thousand customers). It wants to know how many customers buy expensive things regularly and out of these how many buy beauty products regularly. If humans are deployed to go through five thousand records, they will take too much of time and in all probability, produce inaccurate results due to human errors. A data mining software will automate the job and provide accurate results.
929935
variations matter greatly in interpreting data.  Something might seem like it is returning significantly different results than the control but stat evaluation may show that the variations are minimal at best
96086
What's your question?  Applied statistics are critical for the successful evaluation of lab studies.  Without it  interpretations of experimental results are subjective.  Of course, an over reliance on statistics is just as dangerous as many statistics show at the end of the day is testing the probability of an event occuring against the random probability of chance.
359177
Before a formal investigation you might do some preliminary checking around to verify that what someone's telling you is worth investigating further.\n\nIs this what you mean? (Unclear question.)
180438
it is important.  But what about it?
247609
It's probably an overview of a database's functionality and usefulness, taking into account the entity relationships (records, fields, tables, etc.), ability and availability of meaningful queries, and use of proper datatypes, amongst other things.\n\nIt's a good idea to ask yourself all kinds of questions regarding what you want the database to do for you and any (other) users, develop the necessary tables, and test out a few queries.
814446
This question would be a lot better if you had included some examples to see what you are getting at.\n\nI think statistical data is risky at best.  It makes a large body of assumptions, and those assumptions are not usually spelled out when legislators or voters (in the case of ballot propositions) look at the stats.  \n\nNow as to "circumstantial events," I am at a loss to know what you mean.  All events are circumstantial; this does not tell us what sort of events or what sort of circumstances you mean to include.  Circumstantial evidence, in law, is evidence that points one way, but could be interpreted some other way.  \n\nIt is very hard to prove a criminal case on circumstantial evidence because of the high standard of proof: beyond a reasonable doubt.  Most people have no such high standards when they study statistics.  If something is like 90% or 95%, then possibly you are reasonable in taking those stats seriously.  But often legislators and voters get little more than a scant majority in the figures offered, and those could be off by quite a bit.  We need to know the complete design of the survey before we can take statistics seriously, and we seldom get that much detail.\n\nAdd to this the fact that statistics are never a valid indicator, in themselves, of what is right or wrong, but only what is popular or unpopular.  Think and act independently, and vote accordingly.
741648
It is extremely useful in doing any kind of research-based analysis.  For example, let's just say you are studying a large number of mice, collected in the field.  You want to examine their health based on their environment, and you are specifically looking at environmental toxins.  You survey the farmers at each collection point, and ask what fertilizers, pesticides, herbicides, fungicides, etc. they use.  You record all of the data, and do testing on the mice to determine what their toxin levels are.  Then you also wish to see what problems may be associated in the mice with a specific toxin.  But you have some mice that are way off the charts in terms of averages for a certain element or toxin.  Does this taint the result?  Did these mice somehow contact those toxins abnormally (i.e. "experimental contamination")? Should you throw those "outliers" out of the data to keep them from skewing the statistics?  What do you do with these?  Here is where a good knowledge of probabilities and of statistics will really come in handy.  \n\nAs they say, figures don't lie, but liars can figure.  One's use of proper mathematical science can render the biological science either useful or useless.
982409
it is very vital because if you need to look at a organism specially in biology you would be able to see it and study it
479884
Well you don't need a sample if you already have access to an entire population of records! You would use a sample because you can't get a lot of records, and use that sample to give you a rough idea. If you wanted to test a hypothesis though, you should test it at a 5% significance level, or 1% to be really careful. However you need to know if there is an underlying distribution of the data, i.e. normal, etc. If what you have isn't the population of the records then use what you have, the larger the sample size the better! With more values your 'confidence interval' will be narrower, and you can be more certain of the results of your statisical analysis.
348104
It's important to back up claims with evidence because it adds strength and validity to what you are talking about.  With out the evidence, one could argue that you are just  guessing and that you really don't know what you are talking about. \n\nBut if you make a claim, and you support your claim with facutal data, then you will be embraced as a wise person, an expert and people will respect your opinion until eventually, you won't need to provide evidence.  People will take your word for things just because you have already demonstrated yourself as an expert.
705388
Testing products helps the developer to identify flaws in the mechanics of the product, as well as complications with the product that make it hard for the consumer to use.  Product testing can also help the producer to identify and resolve safety issues with the product.
121652
The art of finding evidence in computers. It is used to reconstruct files, emails, internet history, etc.  The government and the police use it to catch drug dealers, kiddie porn rings, tax evaders, etc.  Companies use it to determine if employees are violating company computer usage guidelines, engaging in corporate espionage, etc.
631139
it's important to have some idea of what the hell a doctor might have written on the chart in order to code it...\n\nand coding correctly is crucial to making sure the patient gets the benefits he's entitled to.