Question

Open Hurricanes data. Test if there is a significant difference in death by Hurricanes with category...

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?

  • a. #DIV/0!
  • b. 0.128060089
  • c. 0.634755682
  • d. None of these

8. What is the Statistical interpretation?

  • a. The P-value is too large to have a conclusive answer.
  • b. The P-value is too small to have a conclusive answer.
  • c. ​​The P-value is smaller than 5% thus we are very certain that hurricane category does not influences the death count.
  • d. None of the above.

9. What is the conclusion?

  • a. 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.
  • b. ​​The Statistical interpretation agrees with the intuition: there is a difference in hurricane related death due to the strength of the hurricanes.
  • c. Statistics confirms that hurricanes’ category does not relate to the death count.
  • d. None of these.
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
                                        
0 0
Add a comment Improve this question Transcribed image text
Answer #1

The p-value is 0.634576657

(We need to provide closest answer)

7. What is the P-value?

  • c. 0.634755682

8. What is the Statistical interpretation?

  • a. The P-value is too large to have a conclusive answer.

9. What is the conclusion?

  • a. 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.

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.

Add a comment
Know the answer?
Add Answer to:
Open Hurricanes data. Test if there is a significant difference in death by Hurricanes with category...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • SETUP: Is it reasonable to assume that hurricanes with higher categories will cause more death? Given the data, your job...

    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...

  • Create a dot plot for Hurricane category values given in the last column of the data file.Make sure to include appropriate title and label the axes for the dot plot.

    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...

    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...

    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...

    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 dis...

    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...

    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...

    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...

    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...

    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,...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT