Radon is a radioactive gas that seeps into homes from the soil. it is thought to be a leading cause of lung cancer. a research team investigates this theory. they gather large amounts of data on basement radon concentrations and lung cancer rates and conclude that the more radon there is, the more likely lung cancer is to occur. after the study is published, other researchers criticize it by asserting that the studied neighborhoods with higher radon concentrations also have a higher percentage of old people and a higher percentage of cigarette smokers than the low-radon neighborhoods. both advanced age and cigarette smoking increase the risk of lung cancer. this criticism, if correct, shows that the radon study suffered from

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Leila

Business

8 July, 14:26

Radon is a radioactive gas that seeps into homes from the soil. it is thought to be a leading cause of lung cancer. a research team investigates this theory. they gather large amounts of data on basement radon concentrations and lung cancer rates and conclude that the more radon there is, the more likely lung cancer is to occur. after the study is published, other researchers criticize it by asserting that the studied neighborhoods with higher radon concentrations also have a higher percentage of old people and a higher percentage of cigarette smokers than the low-radon neighborhoods. both advanced age and cigarette smoking increase the risk of lung cancer. this criticism, if correct, shows that the radon study suffered from

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Layla Franco · Answer 1

It shows that the radon study suffered from "uncontrolled variables".

Utilizing variables is a vital part of organizing and finishing a test or overview. While the vast majority know about the independent and dependent variables, another sort of variable can change the result of the outcomes. That third variable is the uncontrolled variable, also called as the confounding variable.

An uncontrolled variable refers to the variable in an experiment that can possibly contrarily affect the connection between the independent and dependent variables. This can cause false connections, inappropriate examination of results and inaccurate rejections of a null hypothesis.