In: Statistics and Probability
Open Hurricanes data.
Test if there is a significant difference in death by Hurricanes with category 1 and category 4. Answer the questions for Assessment. (Pick the closest answer)
7. What is the P-value?
8. What is the Statistical interpretation?
9. What is the conclusion?
DATA: https://www.limes.one/Content/DataFiles/Huricanes.txt
The computation has been done using R programming language
The code and results are as follows:
CODE :
> df=read.table("hurricanes.txt",header=TRUE)
> df1=subset(df,df$Category==1)
> x=df1['alldeaths']
> df2=subset(df,df$Category==4)
> y=df2['alldeaths']
>
> t.test(x,y)
RESULT :
Welch Two Sample t-test
data: x and y
t = -1.6543, df = 10.34, p-value = 0.1281
alternative hypothesis: true difference in means is not equal to
0
95 percent confidence interval:
-39.040713 5.685157
sample estimates:
mean of x mean of y
12.72222 29.40000
7. b) 0.128060089
8. d) The p-value > 0.05. Hence we accept the null hypothesis (relating to equality of means) at 5% level of significance and conclude that there is no influence of the category of hurricanes on death rate.
9. b) The Statistical interpretation does not agree with the intuition that strength of the hurricane will make a difference in the number of hurricane related deaths.