Final answer:
The Acme Company manufactures widgets with a bell-shaped distribution of weights. Using the Standard Deviation Rule, we can determine the percentages of widget weights that fall within certain ranges. For this specific scenario, approximately 68% of the widget weights lie between 54 and 72 ounces, the percentage of widget weights between 45 and 72 ounces is 68%, and the percentage of widget weights above 36 ounces is 68%.
Step-by-step explanation:
To answer this question, we can use the Standard Deviation Rule, also known as the Empirical Rule. This rule states that for a bell-shaped distribution:
- Approximately 68% of the data falls within one standard deviation of the mean. In this case, one standard deviation is 9 ounces, so 68% of the widget weights lie between 63 - 9 and 63 + 9, which is 54 - 72 ounces. So, option A: a) 54-72 is correct.
- Approximately 95% of the data falls within two standard deviations of the mean. Using the same logic as above, two standard deviations is 2 * 9 = 18 ounces. So, 95% of the widget weights lie between 63 - 18 and 63 + 18, which is 45 - 81 ounces. However, we need to find the percentage between 45 and 72 ounces specifically. So we subtract the percentage below 45 ounces (which is half of 68%) from the percentage below 72 ounces (which is 68%). 68% - (68%/2) = 68% - 34% = 34%. So, option B: b) 68% is correct.
- To find the percentage of widget weights above 36 ounces, we need to find the percentage below 36 ounces and subtract it from 100%. Since we know that 68% of the data falls within one standard deviation of the mean (54-72 ounces), we can find the percentage below 36 ounces by subtracting 68% from 100%. 100% - 68% = 32%. So, the percentage of widget weights above 36 ounces is 100% - 32% = 68%. Option C: c) 2.5% is incorrect.