When testing a new treatment, what is the difference between statistical significance and practical significance? Can a treatment have statistical significance, but not practical significance? Choose the correct answer below. A. Statistical significance is achieved when the result is very unlikely to occur by chance. Practical significance is related to whether common sense suggests that the treatment makes enough of a difference to justify its use. It is possible for a treatment to have statistical significance, but not practical significance. B. Statistical significance is related to whether common sense suggests that the treatment makes enough of a difference to justify its use. Practical significance is achieved when the result is very unlikely to occur by chance. It is possible for a treatment to have statistical significance, but not practical significance. C. Statistical significance is achieved when the result is very unlikely to occur by chance. Practical significance is related to whether common sense suggests that the treatment makes enough of a difference to justify its use. It is not possible for a treatment to have statistical significance, but not practical significance. D. Statistical significance is related to whether common sense suggests that the treatment makes enough of a difference to justify its use. Practical significance is achieved when the result is very unlikely to occur by chance. It is not possible for a treatment to have statistical significance but not practical significance.