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Transcribed Image Text:In a test of the effectiveness of garlic for lowering cholesterol, 49 subjects were treated with garlic in a processed tablet form. Cholesterol levels were measured before
and after the treatment. The changes (before - after) in their levels of LDL cholesterol (in mg/dL) have a mean of 2.9 and a standard deviation of 18.7. Construct a 95%
confidence interval estimate of the mean net change in LDL cholesterol after the garlic treatment. What does the confidence interval suggest about the effectiveness of
garlic in reducing LDL cholesterol?
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What is the confidence interval estimate of the population mean p?
Omg/dL <µ< mg/dL
(Round to two decimal places as needed.)
What does the confidence interval suggest about the effectiveness of the treatment?
O A. The confidence interval limits do not contain 0, suggesting that the garlic treatment did not affect the LDL cholesterol levels.
O B. The confidence interval limits do not contain 0, suggesting that the garlic treatment did affect the LDL cholesterol levels.
O C. The confidence interval limits contain 0, suggesting that the garlic treatment did not affect the LDL cholesterol levels.
O D. The confidence interval limits contain 0, suggesting that the garlic treatment did affect the LDL cholesterol levels.
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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