In the 1800s, German physician Carl Reinhold, took millions of axillary (i.e. armpit) temperatures from soldiers.  This study established that body temperature is normally distributed and the standard normal human body temperature is 98.6℉ with a standard deviation of 0.72 ℉. In a recent study, American researchers obtained 5,000 axillary temperatures from a Los Angeles hospital.  The mean of these temperature readings was 97.9 ℉.  Assuming a Type I error risk of no more than 5%, did the findings support the theory that human, body temperature has decreased since the 1800s?  What is the Z crit? What is the standard error? (round to nearest hundredth) What is the Z obt? (round to the nearest tenth) What is the probability of Z obt? (round to nearest hundredth)

MATLAB: An Introduction with Applications
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For this problem you will need: pencil, paper, calculator, z-crit significance levels. and a NC probability calculator, 

Z-Crits for Common Significance Levels

https://docs.google.com/document/d/1bkcDAOsof2cceLd0qhIhiyJ4C09VkQwSuGUcOTQLLpI/edit?usp=sharing

Normal Curve Probability Calculator

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In the 1800s, German physician Carl Reinhold, took millions of axillary (i.e. armpit) temperatures from soldiers.  This study established that body temperature is normally distributed and the standard normal human body temperature is 98.6℉ with a standard deviation of 0.72 ℉.

In a recent study, American researchers obtained 5,000 axillary temperatures from a Los Angeles hospital.  The mean of these temperature readings was 97.9 ℉.  Assuming a Type I error risk of no more than 5%, did the findings support the theory that human, body temperature has decreased since the 1800s? 

What is the Z crit?

What is the standard error? (round to nearest hundredth)

What is the Z obt? (round to the nearest tenth)

What is the probability of Z obt? (round to nearest hundredth)

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