A data set consisting of newborn baby weights is normally distributed (bell-shaped) with a mean of 7.5 pounds and standard deviation of 0.5 pounds. Use the Empirical Rule to address the following questions. Hint: sketch the distribution to help visualize the problem. Approximately 68% of the newborn weights lie between and What approximate percentage of the newborn weights lie between 6 and 9 pounds? What approximate percentage of the newborn weights lie between 6.5 and 8.5 pounds?

MATLAB: An Introduction with Applications
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A data set consisting of newborn baby weights is normally distributed (bell-shaped) with a mean of 7.5
pounds and standard deviation of 0.5 pounds.
Use the Empirical Rule to address the following questions.
Hint: sketch the distribution to help visualize the problem.
Approximately 68% of the newborn weights lie between
and
What approximate percentage of the newborn weights lie between 6 and 9 pounds?
What approximate percentage of the newborn weights lie between 6.5 and 8.5 pounds?
Transcribed Image Text:A data set consisting of newborn baby weights is normally distributed (bell-shaped) with a mean of 7.5 pounds and standard deviation of 0.5 pounds. Use the Empirical Rule to address the following questions. Hint: sketch the distribution to help visualize the problem. Approximately 68% of the newborn weights lie between and What approximate percentage of the newborn weights lie between 6 and 9 pounds? What approximate percentage of the newborn weights lie between 6.5 and 8.5 pounds?
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