For your fourth journal entry, consider again the variable DP05. Last week you constructed a 95% confidence interval for the number of months that had no days with 0.5 inches or more of precipitation. 


A resident thinks that 15% of the months have no days with 0.5 inches or more of precipitation. Test this claim at a 0.05 significance level. How do your results compare to your 95% confidence interval from the Module Three journal? 

Now consider the variable EMNT. This is the extreme low temperature (extreme minimum temperature) for the month, also reported in tenths of a degree Celsius. For example, a value of –50 in EMNT means that the extreme low for the month was –5 degrees Celsius, or 23 degrees Fahrenheit. 

A resident thinks that the extreme low temperature during a randomly chosen month is about –5 degrees Celsius. Test this claim at a 0.01 significance level. Use both the classical method and the p-value method. Does this analysis make sense? 

 

https://shar.es/1Oy5Hm is the file

 

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