Open Hurricanes data.
Test if there is a significant difference in death by Hurricanes with category 2 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?
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
The p-value is 0.634576657
(We need to provide closest answer)
7. What is the P-value?
8. What is the Statistical interpretation?
9. What is the conclusion?
Note: If you don’t have Data Analysis plugin installed in your Excel then you install it by clicking on File->Options->Addins->Under Excel Add-ins Click on Go…->Check Analysis ToolPak and click OK. Now you will have Data Analysis option under Data Tab.
Open Hurricanes data. Test if there is a significant difference in death by Hurricanes with category...
SETUP: Is it reasonable to assume that hurricanes with higher categories will cause more death? 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? a. Data related to two decades should not be related. b. The population averages are equal. c. The slope of the regression line is equal to zero. d. None of these. 20. The P-value is 0.159869718. What can...
YearNameWind Speed (mph)Pressure (millibars)Category2000ALBERTO12795032000DEBBY75-12000FLORENCE8198512000GORDON7598112000ISAAC13894342000JOYCE9297612000KEITH13294242000MICHAEL9796522001ERIN12096932001FELIX11596532001GABRIELLE8197512001HUMBERTO10497022001IRIS14495042001KAREN8198212001MICHELLE13893342001NOEL7598412001OLGA9297312002GUSTAV9296012002ISIDORE12793432002KYLE8698012002LILI14493842003CLAUDETTE8198112003DANNY75100512003ERIKA7598712003FABIAN14493942003ISABEL16192052003JUAN10497022003KATE12795232004ALEX12095732004CHARLEY14494142004DANIELLE10497022004FRANCES14493542004IVAN16791052004JEANNE127-32004KARL13893842004LISA7598712005CINDY7599112005DENNIS14993042005EMILY16192952005IRENE10297022005KATRINA17190252005MARIA11596232005NATE9097912005OPHELIA8797612005PHILIPPE8198512005RITA17789552005STAN8197712005VINCE7598812005WILMA18388252005BETA11596232005EPSILON879791
Chemical Process Temperature Data 953 985 949 937 959 948 958 952 945 973 941 946 939 937 955 931 972 955 966 954 948 955 947 928 945 950 966 935 958 927 941 937 975 948 934 941 963 940 938 950 970 957 937 933 973 962 945 970 959 940 946 960 949 963 963 933 973 933 952 968 942 943 967 960 940 965 935 959 965 950 969 934 936 973941 956 962...
Binomial, Negative Binomial and Hypergeometric Distribution You are tracking the progression of category 3 hurricanes and are interested in knowing how many of these are upgraded to category 4 hurricanes. Past data indicates that category 3 hurricanes have a probability of 0.01 of being upgraded to a category 4 hurricane. Assume that these probabilities continue to represent future hurricane behavior. Assume that, due to advances in hurricane forecasting technology, meteorologists know that there will be 538 category 3 hurricanes during...
Write a program that will accept from the user a text file containing hurricane data along with an output filename. The data consists of the year, the number of storms, the number of hurricanes, and the damage in millions of US Dollars. The first line contains the word “Years” followed by the first year listed and the last year listed separated by tabs. The following lines contain the data separated by tabs. A sample text file is available in this...
1) the distribution and histogram of individual penny dates for the entire class (this will be our population), Math/BSAD 2170 Sampling Distributions and Central Limit Theorem 2) the distribution and histogram of the means from samples of 5 pennies (this is called a sampling distribution with n 5), 3) the distribution and histogram of the means from samples of 10 pennies (a sampling distribution with n 10), and 4) the distribution and histogram of the means of each sample of...
Find the Annual growth rate
18 Oll prices have increased a great deal in the last decade. The following table shows the average oil price for each year since 1949. Many companies use oil products as a resource in their own business operations (like airline firms and manufacturers of plastic products). Managers of these firms will keep a close watch on how rising oil prices will impact their costs. The interest rate in the PV/FV equations can also be interpreted...
7.46 More on global warming. Side-by-side boxplots offer a different look at the data. Group the data into peri- ods of roughly equal length: 1917-1941, 1942-1966, 1967-1991, and 1992-2015. Make boxplots to compare ice breakup dates in these four time periods. Write a brief description of what the plots show. TABLE 7.2 Days from April 20 for the Tanana River tripod to fall uus veel carerully observed for many years. If the date the tripod falls has been getting Year...
15 Oil prices have increased a great deal in the last decade. The following table shows the average oil price for each year since 1949. Many companies use oil products as a resource in their own business operations (like airline firms and manufacturers of plastic products). Managers of these firms will keep a close watch on how rising oil prices will impact their costs. The interest rate in the PV/FV equations can also be interpreted as a growth rate in...
Oll prices have increased a great deal in the last decade. The following table shows the average oil price for each year since 1949. Many companies use oil products as a resource in their own business operations (like airline firms and manufacturers of plastic products). Managers of these firms will keep a close watch on how rising oil prices will impact their costs. The interest rate in the PV/FV equations can also be interpreted as a growth rate in sales,...