Lung Cancer is a disease in which cells in lung grow out of control. According to the Centers for Disease Control and Prevention (CDC), lung cancer is the leading cause of cancer deaths in both men and women in the United States. Approximately 150,000 Americans die from lung cancer each year, accounting for 25 percent of cancer deaths in the United States. The most significant risk factor for lung cancer is smoking. Other risk factors include secondhand smoke, radon, diet, family history of lung cancer, radiation therapy, and inhaling toxic substances such as asbestos, arsenic, diesel exhaust, silica, and chromium. In this paper, the STEAMS (Science, Technology, Engineering, Artificial Intelligence, Math, Statistic) approach is used to determine the linkage between smoking and lung cancer based on a random sample of 239 smokers and non-smokers. For this investigation the null hypothesis is smokers are equal likely to get lung cancer as non-smokers. The alternative hypothesis is smokers are more likely to get lung cancer than non-smokers. Minimum sample size, alpha risk, beta risk, Two Sample Test for Proportions, Likelihood Ratio, and Odd Ratio will be discussed in detail in this paper.
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