Examples of scientific control in the following topics:
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- A scientific control is an observation designed to minimize the effects of variables other than the single independent variable.
- A scientific control is an observation designed to minimize the effects of variables other than the single independent variable.
- That is, scientific controls allow an investigator to make a claim like "Two situations were identical until factor X occurred.
- An all-female crew of scientific experimenters began a five-day exercise on December 16, 1974.
- Classify scientific controls and identify how they are used in experiments.
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- Two-sample tests are appropriate for comparing two samples, typically experimental and control samples from a scientifically controlled experiment.
- Paired tests are appropriate for comparing two samples where it is impossible to control important variables.
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- Experimental design is the design of studies where variation, which may or may not be under full control of the experimenter, is present.
- Often one compares against a scientific control or traditional treatment that acts as baseline.
- It is best that a process be in reasonable statistical control prior to conducting designed experiments.
- To control for nuisance variables, researchers institute control checks as additional measures.
- $Z$ is said to be a spurious variable and must be controlled for.
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- A method that significantly contributes to our success in this matter is the controlling of variables.
- In a scientific experiment measuring the effect of one or more independent variables on a dependent variable, controlling for a variable is a method of reducing the confounding effect of variations in a third variable that may also affect the value of the dependent variable.
- The essence of the method is to ensure that comparisons between the control group and the experimental group are only made for groups or subgroups for which the variable to be controlled has the same statistical distribution.
- Such analyses may be described as "controlling for variable $x$" or "controlling for the variations in $x$".
- Controlling is very important in experimentation to ensure reliable results.
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- Experiments vary greatly in their goal and scale, but always rely on repeatable procedure and logical analysis of the results in a method called the scientific method .
- Experiments can vary from personal and informal (e.g. tasting a range of chocolates to find a favorite), to highly controlled (e.g. tests requiring a complex apparatus overseen by many scientists that hope to discover information about subatomic particles).
- In statistics, controlled experiments are often used.
- A controlled experiment generally compares the results obtained from an experimental sample against a control sample, which is practically identical to the experimental sample except for the one aspect whose effect is being tested (the independent variable).
- A survey involves asking different people about their opinion on a particular product or about a particular issue, whereas an experiment is a comprehensive study about something with the aim of proving it scientifically.
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- One of the hallmarks of the scientific method is that it depends on empirical data.
- To be a proper scientific investigation, the data must be collected systematically.
- Scientific theories must be potentially disconfirmable.
- Therefore, a scientific theory should lead to testable hypotheses.
- It just means that it is not a scientific explanation.
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- A statistical hypothesis test is a method of making decisions using data from a scientific study.
- A statistical hypothesis test is a method of making decisions using data from a scientific study.
- Statistical hypothesis tests define a procedure that controls (fixes) the probability of incorrectly deciding that a default position (null hypothesis) is incorrect based on how likely it would be for a set of observations to occur if the null hypothesis were true.
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- ., & the Task Force on Statistical Inference, APA Board of Scientific Affairs. (1999).
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- In this case, the researchers would collect observations of both smokers and non-smokers, perhaps through a case-control study, and then look for the number of cases of lung cancer in each group.
- In applying statistics to a scientific, industrial, or societal problem, it is necessary to begin with a population or process to be studied.
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- Control group.
- Patients in the control group received the same medical management as the treatment group, but they did not receive stents.
- Researchers randomly assigned 224 patients to the treatment group and 227 to the control group.
- Proportion who had a stroke in the control group: 28=227 = 0:12 = 12%.
- In addition, there are many types of stents and this study only considered the self-expanding Wingspan stent (Boston Scientific).