In: Statistics and Probability
Year Name MinPressure_before Gender_MF Category alldeaths 1950 Easy 958 1 3 2 1950 King 955 0 3 4 1952 Able 985 0 1 3 1953 Barbara 987 1 1 1 1953 Florence 985 1 1 0 1954 Carol 960 1 3 60 1954 Edna 954 1 3 20 1954 Hazel 938 1 4 20 1955 Connie 962 1 3 0 1955 Diane 987 1 1 200 1955 Ione 960 0 3 7 1956 Flossy 975 1 2 15 1958 Helene 946 1 3 1 1959 Debra 984 1 1 0 1959 Gracie 950 1 3 22 1960 Donna 930 1 4 50 1960 Ethel 981 1 1 0 1961 Carla 931 1 4 46 1963 Cindy 996 1 1 3 1964 Cleo 968 1 2 3 1964 Dora 966 1 2 5 1964 Hilda 950 1 3 37 1964 Isbell 974 1 2 3 1965 Betsy 948 1 3 75 1966 Alma 982 1 2 6 1966 Inez 983 1 1 3 1967 Beulah 950 1 3 15 1968 Gladys 977 1 2 3 1969 Camille 909 1 5 256 1970 Celia 945 1 3 22 1971 Edith 978 1 2 0 1971 Fern 979 1 1 2 1971 Ginger 995 1 1 0 1972 Agnes 980 1 1 117 1974 Carmen 952 1 3 1 1975 Eloise 955 1 3 21 1976 Belle 980 1 1 5 1977 Babe 995 1 1 0 1979 Bob 986 0 1 1 1979 David 970 0 2 15 1979 Frederic 946 0 3 5 1980 Allen 945 0 3 2 1983 Alicia 962 1 3 21 1984 Diana 949 1 2 3 1985 Bob 1002 0 1 0 1985 Danny 987 0 1 1 1985 Elena 959 1 3 4 1985 Gloria 942 1 3 8 1985 Juan 971 0 1 12 1985 Kate 967 1 2 5 1986 Bonnie 990 1 1 3 1986 Charley 990 0 1 5 1987 Floyd 993 0 1 0 1988 Florence 984 1 1 1 1989 Chantal 986 1 1 13 1989 Hugo 934 0 4 21 1989 Jerry 983 0 1 3 1991 Bob 962 0 2 15 1992 Andrew 922 0 5 62 1993 Emily 960 1 3 3 1995 Erin 973 1 2 6 1995 Opal 942 1 3 9 1996 Bertha 974 1 2 8 1996 Fran 954 1 3 26 1997 Danny 984 0 1 10 1998 Bonnie 964 1 2 3 1998 Earl 987 0 1 3 1998 Georges 964 0 2 1 1999 Bret 951 0 3 0 1999 Floyd 956 0 2 56 1999 Irene 987 1 1 8 2002 Lili 963 1 1 2 2003 Claudette 979 1 1 3 2003 Isabel 957 1 2 51 2004 Alex 972 0 1 1 2004 Charley 941 0 4 10 2004 Frances 960 1 2 7 2004 Gaston 985 0 1 8 2004 Ivan 946 0 3 25 2004 Jeanne 950 1 3 5 2005 Cindy 991 1 1 1 2005 Dennis 946 0 3 15 2005 Ophelia 982 1 1 1 2005 Rita 937 1 3 62 2005 Wilma 950 1 3 5 2005 Katrina 902 1 3 1833 2007 Humberto 985 0 1 1 2008 Dolly 963 1 1 1 2008 Gustav 951 0 2 52 2008 Ike 935 0 2 84 2011 Irene 952 1 1 41 2012 Isaac 965 0 1 5 2012 Sandy 945 1 2 159
Open Hurricane data.
SETUP: Is it reasonable to assume that average hurricane pressure for category 4 is different from that of category 1? Given the data, your job is to check if this assertion is indeed reasonable or not. HINT: Read Lecture 24.
19. What would be the correct Null-Hypothesis?
20. The P-value is 3.33E-09. What can be statistically concluded?
21. Write a one-line additional comment.
Step 1: Put the data as shown below
Step 2 : Filter category 4 hurricane and find the mean and standard deviation as shown below.
Step 3 Filter category 1 hurricane and find the mean and standard deviation as shown below.
Hypothesis testing.
Let sample 1 be category 4 hurricance
Let sample 2 be category 1 hurricance.
Conclusion : Yes there is sufficient evidence to support that average hurricane pressure for category 4 is different from that of category 1
19. What would be the correct
Null-Hypothesis?
b. The population averages are equal.
20. The P-value is 3.33E-09. What can be statistically
concluded?
a. We reject the Null Hypothesis.
.
21. Write a one-line additional comment.
b. We are confident that hurricanes with category 4 has different
pressure than those of category 1.