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FOR YOUR FOURTH JOURNAL ENTRY, CONSIDER AGAIN THE VARIABLE DP05.

FOR YOUR FOURTH JOURNAL ENTRY, CONSIDER AGAIN THE VARIABLE DP05.

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Author: Christine Farr
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Part4
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? For additional details, please refer to the Module Four Journal Aid Part One Transcript document, Module Four Journal Aid Part Two Transcript document, Journal Rubric document, and Journal Dataset document in the Assignment Guidelines and Rubrics section of the course. 
 
Part 5
It is recommended that you begin the Module Five Discussion and Module Five Problem Set before posting your journal entry. For your fifth journal entry, consider the variables Min_July and Min_August. Those record the mean minimum daily temperature in July and August of each year. A resident thinks that, on average, August is 3 degrees Fahrenheit cooler than July is. Test this claim at a significance level of 0.05 using both independent samples and a matched pairs model. Remember that the data is in tenths of a degree Celsius, so the hypothesis tests must have targets converted from 3 degrees Fahrenheit into tenths of a degree Celsius. Discuss whether a model with independent samples or a model with dependent samples (matched pairs) is more appropriate for this analysis. There may be reasons why each is more appropriate than the other. For additional details, please refer to the Module Five Journal Aid Part One Transcript document, Module Five Journal Aid Part Two Transcript document, Journal Rubric document, and Journal Dataset document in the Assignment Guidelines and Rubrics section of the course.
Part 6
Consider, again, the variables Min_July and Min_August—the mean minimum daily temperatures in July and August of each year. Perform a regression analysis with Y = Min_August and X = Min_July. Is there a significant correlation between the two? Interpret the meaning of the slope and the intercept in this equation. If the value of Min_July were 200, what would you predict the value of Min_August to be? Does this result affect your decision of which model to use for comparing the difference of two means in the Module Seven Journal? Now consider the variables Precip_July and Precip_August. These record the total precipitation in July and August of each year. Perform a regression analysis with Y = Precip_August and X = Precip_July. Is there a significant correlation between the two? Interpret the meaning of the slope and the intercept in this equation. If the value of Precip_July were 100, what would you predict the value of Precip_August to be? For additional details, please refer to the Module Seven Journal Aid Transcript document, Journal Rubric document, and Journal Dataset document in the Assignment Guidelines and Rubrics section of the course.


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