We have decided to digest an experiment to see the variances of different races within the mortality array; we are doing this research because we think there is not frequently of a deflection between the races. We exit be exam our hypothesis and we are hoping that our conclusion allow for shown no difference no matter what race it is they all have the comparable mortality rate. Our hypothesis go out make sure that our riddle gives us the variables we need in order to give an commentary to solve the problem. It is important to understand the status benchmark of the election hypothesis on the basis of sample evidence. The statistics test compares the samples with the hypothesized parameter, value, size, and ?. We depart establish a mean decision order to incur the range of acceptance of our hypothesis testing. The data base that we will be using has been collected from the years 2000 thru 2009.
Our team will illustrate the results of our conclusion and it will give us the react to our hypothesis we will give an interpretation of the results. By discharge the hypothesis testing we can analyze and research the solution. By applying the ANOVA analysis we are able to understand and employ different strategies which will give the answer to our hypothesis.
Below you will see the results of our hypothesis testing and the process in which we conducted to declaration our answer.
Year / SampleHispanicWhiteBlack
2009141,576732,600922,900
2008139,241750,300934,900
2007135,519749,400958,000
2006133,004764,400982,000
2005131,161785,3001,016,500
2004122,416817,0001,027,300
2003122,026813,0001,065,900
2002117,135829,0001,083,300
2001113,413836,5001,101,200
2000107,254849,8001,121,400
gait 1
H0: ?A = ?B = ?C
H1: ?A ? ?B ? ?C
Step 2
Level of significance, ? = 0.1
Step 3
Test statistic, F distribution
Step 4
Decision rule: DF for numerator (k 1) = (3 1) = 2
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