Relationship between mis and computer science

Management information system MIS refers to a larger infrastructure, whereas information technology IT is one component of that infrastructure that is used for collecting and transmitting data.

Relationship between mis and computer science

Usage[ edit ] In logicthe technical use of the word "implies" means "is a sufficient circumstance for". Indeed, p implies q has the technical meaning of the material conditional: That is "if circumstance p is true, then q follows. The idea that correlation and causation are connected is certainly true; where there is causation, there is a likely correlation.

Indeed, correlation is used when inferring causation; the important point is that such inferences are made after correlations are confirmed as real and all causational relationship are systematically explored using large enough data sets.

For any two correlated events, A and B, the different possible relationships include[ citation needed ]: A causes B direct causation ; B causes A reverse causation ; A and B are consequences of a common cause, but do not cause each other; A and B both cause C, which is explicitly or implicitly conditioned on; A causes B and B causes A bidirectional or cyclic causation ; A causes C which causes B indirect causation ; There is no connection between A and B; the correlation is a coincidence.

Thus there can be no conclusion made regarding the existence or the direction of a cause-and-effect relationship only from the fact that A and B are correlated.

Determining whether there is an actual cause-and-effect relationship requires further investigation, even when the relationship between A and B is statistically significanta large effect size is observed, or a large part of the variance is explained.

Examples of illogically inferring causation from correlation[ edit ] B causes A reverse causation or reverse causality [ edit ] Reverse causation or reverse causality or wrong direction is an informal fallacy of questionable cause where cause and effect are reversed. The cause is said to be the effect and vice versa.

Example 1 The faster windmills are observed to rotate, the more wind is observed to be. Therefore wind is caused by the rotation of windmills. In this example, the correlation simultaneity between windmill activity and wind velocity does not imply that wind is caused by windmills.

Wind can be observed in places where there are no windmills or non-rotating windmills—and there are good reasons to believe that wind existed before the invention of windmills. Therefore, high debt causes slow growth.

This argument by Carmen Reinhart and Kenneth Rogoff was refuted by Paul Krugman on the basis that they got the causality backwards: Children that watch a lot of TV are the most violent. Clearly, TV makes children more violent. This could easily be the other way round; that is, violent children like watching more TV than less violent ones.

Example 4 A correlation between recreational drug use and psychiatric disorders might be either way around: Gateway drug theory may argue that marijuana usage leads to usage of harder drugs, but hard drug usage may lead to marijuana usage see also confusion of the inverse.

Indeed, in the social sciences where controlled experiments often cannot be used to discern the direction of causation, this fallacy can fuel long-standing scientific arguments.

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Example 5 A historical example of this is that Europeans in the Middle Ages believed that lice were beneficial to your health, since there would rarely be any lice on sick people. The reasoning was that the people got sick because the lice left. The real reason however is that lice are extremely sensitive to body temperature.

A small increase of body temperature, such as in a feverwill make the lice look for another host. The medical thermometer had not yet been invented, so this increase in temperature was rarely noticed.

Noticeable symptoms came later, giving the impression that the lice left before the person got sick.

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One making an argument based on these two phenomena must however be careful to avoid the fallacy of circular cause and consequence. Poverty is a cause of lack of education, but it is not the sole cause, and vice versa. Third factor C the common-causal variable causes both A and B[ edit ] Main article: Spurious relationship The third-cause fallacy also known as ignoring a common cause [5] or questionable cause [5] is a logical fallacy where a spurious relationship is confused for causation.

It is a variation on the post hoc ergo propter hoc fallacy and a member of the questionable cause group of fallacies.

Relationship between mis and computer science

All of these examples deal with a lurking variablewhich is simply a hidden third variable that affects both causes of the correlation. Example 1 Sleeping with one's shoes on is strongly correlated with waking up with a headache. Therefore, sleeping with one's shoes on causes headache.

The above example commits the correlation-implies-causation fallacy, as it prematurely concludes that sleeping with one's shoes on causes headache.

A more plausible explanation is that both are caused by a third factor, in this case going to bed drunkwhich thereby gives rise to a correlation. So the conclusion is false.Research shows that students with bachelor’s degrees in general make more than those with just high school diplomas.

Similarly, earn a master’s degree and quite likely your starting salary and earning potential exceed those with a bachelor’s degree.

Relationship between mis and computer science

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In brief: • Information systems and information technology are parts of a broader computer science. • Whereas information systems focuses on the system making use of technology, information technology focuses on technology and .

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Get started now! Friday Squid Blogging: The Symbiotic Relationship Between the Bobtail Squid and a Particular Microbe. This is the story of the Hawaiian bobtail squid and Vibrio fischeri.. As usual, you can also use this squid post to talk about the security stories in the news that I haven't covered.

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