The effectiveness of a blood-pressure drug is being investigated. An experimenter finds that, on average, the reduction in systolic blood pressure is 56.9 for a sample of size 20 and standard deviation 14.3. Estimate how much the drug will lower a typical patient's systolic blood pressure (using a 90% confidence level). Assume the data is from a normally distributed population. Enter your answer as a tri-linear inequality accurate to three decimal places. < � < The effectiveness of a blood-pressure drug is being investigated. An experimenter finds that, on average,the reduction in systolic blood pressure is 56.9 for a sample of size 20 and standard deviation 14.3.Estimate how much the drug will lower a typical patient's systolic blood pressure (using a 90% confidencelevel). Assume the data is from a normally distributed population.Enter your answer as a tri-linear inequality accurate to three decimal places.

From the provided information, Sample mean (x̄) = 56.9, Standard deviation (s) = 14.3 Sample size…

Answered: The effectiveness of a blood-pressure…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 22PFA

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The effectiveness of a blood-pressure drug is being investigated. An experimenter finds that, on average, the reduction in systolic blood pressure is 56.9 for a sample of size 20 and standard deviation 14.3. Estimate how much the drug will lower a typical patient's systolic blood pressure (using a 90% confidence level). Assume the data is from a normally distributed population.

Enter your answer as a tri-linear inequality accurate to three decimal places.

< � <

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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