What does confounded mean in a sentence?
You might hear someone say something like, “I'm confounded by the fact that the data doesn’t match up,” or, “I was confounded by the results of my test.” Confounded is a term used in statistics. It means that the results of an experiment or analysis are different than what you expected.
What does confounding a sentence mean?
One thing you’ll see in writing is an error that implies one thing but means something else. For example, you might say something like “The doctor didn’t find any signs of disease in the patient, which confounded the diagnosis.” In this example, “confounded” is being used as a synonym for “troubling” or “causing confusion.” But without the context, the meaning is unclear. The doctor
What do you mean by confounded sentence?
If you’re wondering what the word confounded means in a sentence, it refers to something that is made difficult to understand or explain. That’s usually because something is interfering with the original cause-and-effect relationship between two things. For example, let’s say you need to get to a certain location quickly. You decide to take a route that is much longer but much faster than the normal route. However, as you drive along you begin to notice that the traffic
What does it mean to confound a sentence?
Confounding is a rhetorical term used when an argument appears to be providing evidence for a particular claim but in fact it provides evidence against that claim. One example of this is an argument claiming to show that people with a lower GPA are less likely to get a job. The argument could be confounded if it fails to control for variables that independently correlate with GPA, such as family income. Confounding is also used in the context of causation. A common example of confounding is when a drug trial fails to
What does not confound a sentence mean?
If all of your variables are taken into account when you analyze your data, you have a well-balanced sample. A balanced sample means that there is an equal number of people in each group that you are trying to compare. For example, if you are trying to compare how many people with a certain disease have a certain drug in their system, it’s important that you have an equal number of people who do have the disease and do not have the disease, or, put another way,