Precipitation Hypothesis Testing
Precipitation Hypothesis Testing Paper
Learning Team One
Research and Evaluation II – RES 342
University of Phoenix
Precipitation Hypothesis Testing Learning team one will test if there is more precipitation in the three months of the spring in 2006 or is it greater than or equal to the three months in the winter in Rockville, which is located in Montgomery County, Maryland. We will look at the validity of the local average precipitation (rainfall) during the months of December through March and March through June by using the five (5) Step Hypothesis testing technique. The testing will begin with our null and alternate hypothesis statements. Second, we will determine the level of significance or probability of rejecting the null hypothesis when it is true (Lind, Marchal, Wathwn, 2004). Third, we will select a test statistic or value from the sample. Fourth, we will formulate the decision rule, which will determine whether we accept or reject the null hypothesis. Finally, we will compare our test statistic to our critical value and decide to accept or reject the hypothesis. Our sample data will consist of spring months March 21 through June 20 and winter months December 21 through March 20.
Our learning team compared the average precipitation for the winter months of 2006 and the spring of 2006 to determine what the average precipitation between the winter and spring was. Secondary research retrieved from the National Oceanic and Atmospheric Administration‘s (NOAA) National Weather Service website provided precipitation and climatic data for a monthly basis for each month of the periods under investigation. The monthly average rainfall or precipitation for the winter and spring months from December 20, 2005 through March 20, 2006 and from March 21, 2006 through June 20, 2006 time periods were gathered as two samples. The learning team established a null hypothesis that the precipitation period of spring
Learning Team One
Research and Evaluation II – RES 342
University of Phoenix
Precipitation Hypothesis Testing Learning team one will test if there is more precipitation in the three months of the spring in 2006 or is it greater than or equal to the three months in the winter in Rockville, which is located in Montgomery County, Maryland. We will look at the validity of the local average precipitation (rainfall) during the months of December through March and March through June by using the five (5) Step Hypothesis testing technique. The testing will begin with our null and alternate hypothesis statements. Second, we will determine the level of significance or probability of rejecting the null hypothesis when it is true (Lind, Marchal, Wathwn, 2004). Third, we will select a test statistic or value from the sample. Fourth, we will formulate the decision rule, which will determine whether we accept or reject the null hypothesis. Finally, we will compare our test statistic to our critical value and decide to accept or reject the hypothesis. Our sample data will consist of spring months March 21 through June 20 and winter months December 21 through March 20.
Our learning team compared the average precipitation for the winter months of 2006 and the spring of 2006 to determine what the average precipitation between the winter and spring was. Secondary research retrieved from the National Oceanic and Atmospheric Administration‘s (NOAA) National Weather Service website provided precipitation and climatic data for a monthly basis for each month of the periods under investigation. The monthly average rainfall or precipitation for the winter and spring months from December 20, 2005 through March 20, 2006 and from March 21, 2006 through June 20, 2006 time periods were gathered as two samples. The learning team established a null hypothesis that the precipitation period of spring