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3&platrorm=D1030&smsuserid%3D69546731&scenaric 3apla could easily occur with random chance. ing that some Practical Significance It is possible that some treatment or finding is effective, but common sense might suggest that the treatment or finding does not make enough of a difference to justify its use or to be practical, as illustrated in Example 3. treatment is effective) much more often than negative results (such as showin I treatment has m EXAMPLE 3 Statistical Significance Versus Practical Significance In the article "R ProCare Industries once supplied a product named Gender Choice that supposedly increased the chance of a couple having a baby with the gender that they desired. In the absence of any evidence of its effectiveness, the product was banned by the Food and Drug Administration (FDA) as a "gross deception of the consumer." But suppose that the product was tested with 10,000 couples who wanted to have baby girls, and the results consist of 5200 baby girls born in the 10,000 births. This result is statistically significant because the likelihood of it happening due to chance is only 0.003%, so chance doesn't seem like a feasible explanation. That 52% rate of girls is statistically significant, but it lacks practical significance because 52% is only slightly above 50%. Couples would not want to spend the time and money to increase the likelihood of a girl from 50% to 52%. (Note: In reality, the likelihood of a baby being a girl is about 48.8%, not 50%.) Trials" (Journal Medical Associ No. 4), authors and Drummond that "the result who has perfor trial) is loss and evidence, wast of trials, inabilit cies to plan, an from which only might benefit, a against the inte offered to partic YOUR TURN Do Exercise 15 "Gender Selection." of patients in g port a process trials are registe Analyzing Data: Potential Pitfalls

3&platrorm=D1030&smsuserid%3D69546731&scenaric 3apla could easily occur with random chance. ing that some Practical Significance It is possible that some treatment or finding is effective, but common sense might suggest that the treatment or finding does not make enough of a difference to justify its use or to be practical, as illustrated in Example 3. treatment is effective) much more often than negative results (such as showin I treatment has m EXAMPLE 3 Statistical Significance Versus Practical Significance In the article "R ProCare Industries once supplied a product named Gender Choice that supposedly increased the chance of a couple having a baby with the gender that they desired. In the absence of any evidence of its effectiveness, the product was banned by the Food and Drug Administration (FDA) as a "gross deception of the consumer." But suppose that the product was tested with 10,000 couples who wanted to have baby girls, and the results consist of 5200 baby girls born in the 10,000 births. This result is statistically significant because the likelihood of it happening due to chance is only 0.003%, so chance doesn't seem like a feasible explanation. That 52% rate of girls is statistically significant, but it lacks practical significance because 52% is only slightly above 50%. Couples would not want to spend the time and money to increase the likelihood of a girl from 50% to 52%. (Note: In reality, the likelihood of a baby being a girl is about 48.8%, not 50%.) Trials" (Journal Medical Associ No. 4), authors and Drummond that "the result who has perfor trial) is loss and evidence, wast of trials, inabilit cies to plan, an from which only might benefit, a against the inte offered to partic YOUR TURN Do Exercise 15 "Gender Selection." of patients in g port a process trials are registe Analyzing Data: Potential Pitfalls

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
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How do you achieve 0.003%, as stated in the given attachment?

3&platrorm=D1030&smsuserid%3D69546731&scenaric 3apla could easily occur with random chance. ing that some Practical Significance It is possible that some treatment or finding is effective, but common sense might suggest that the treatment or finding does not make enough of a difference to justify its use or to be practical, as illustrated in Example 3. treatment is effective) much more often than negative results (such as showin I treatment has m EXAMPLE 3 Statistical Significance Versus Practical Significance In the article "R ProCare Industries once supplied a product named Gender Choice that supposedly increased the chance of a couple having a baby with the gender that they desired. In the absence of any evidence of its effectiveness, the product was banned by the Food and Drug Administration (FDA) as a "gross deception of the consumer." But suppose that the product was tested with 10,000 couples who wanted to have baby girls, and the results consist of 5200 baby girls born in the 10,000 births. This result is statistically significant because the likelihood of it happening due to chance is only 0.003%, so chance doesn't seem like a feasible explanation. That 52% rate of girls is statistically significant, but it lacks practical significance because 52% is only slightly above 50%. Couples would not want to spend the time and money to increase the likelihood of a girl from 50% to 52%. (Note: In reality, the likelihood of a baby being a girl is about 48.8%, not 50%.) Trials" (Journal Medical Associ No. 4), authors and Drummond that "the result who has perfor trial) is loss and evidence, wast of trials, inabilit cies to plan, an from which only might benefit, a against the inte offered to partic YOUR TURN Do Exercise 15 "Gender Selection." of patients in g port a process trials are registe Analyzing Data: Potential Pitfalls
Transcribed Image Text:3&platrorm=D1030&smsuserid%3D69546731&scenaric 3apla could easily occur with random chance. ing that some Practical Significance It is possible that some treatment or finding is effective, but common sense might suggest that the treatment or finding does not make enough of a difference to justify its use or to be practical, as illustrated in Example 3. treatment is effective) much more often than negative results (such as showin I treatment has m EXAMPLE 3 Statistical Significance Versus Practical Significance In the article "R ProCare Industries once supplied a product named Gender Choice that supposedly increased the chance of a couple having a baby with the gender that they desired. In the absence of any evidence of its effectiveness, the product was banned by the Food and Drug Administration (FDA) as a "gross deception of the consumer." But suppose that the product was tested with 10,000 couples who wanted to have baby girls, and the results consist of 5200 baby girls born in the 10,000 births. This result is statistically significant because the likelihood of it happening due to chance is only 0.003%, so chance doesn't seem like a feasible explanation. That 52% rate of girls is statistically significant, but it lacks practical significance because 52% is only slightly above 50%. Couples would not want to spend the time and money to increase the likelihood of a girl from 50% to 52%. (Note: In reality, the likelihood of a baby being a girl is about 48.8%, not 50%.) Trials" (Journal Medical Associ No. 4), authors and Drummond that "the result who has perfor trial) is loss and evidence, wast of trials, inabilit cies to plan, an from which only might benefit, a against the inte offered to partic YOUR TURN Do Exercise 15 "Gender Selection." of patients in g port a process trials are registe Analyzing Data: Potential Pitfalls
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