Question

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 be statistically concluded?

a. We reject the Null Hypothesis.

b. We accept the Null Hypothesis.

c. We cannot reject the Null Hypothesis.

d. None of these.

21. Write a one-line additional comment.

a. We cannot conclude that hurricanes with higher categories cause more deaths.

b. We are confident that higher the hurricane categories the more deaths they will cause.

c. We cannot conclude that hurricanes with category 4 has more deaths than those of category 1.

d. None of these.

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.

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
                                        

Answer 1

Answer:

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.

Answer: c. The slope of the regression line is equal to zero.

d. None of these.

20. The P-value is 0.159869718. What can be statistically concluded?

a. We reject the Null Hypothesis.

b. We accept the Null Hypothesis.

Answer: c. We cannot reject the Null Hypothesis.

d. None of these.

21. Write a one-line additional comment.

Answer: a. We cannot conclude that hurricanes with higher categories cause more deaths.

b. We are confident that higher the hurricane categories the more deaths they will cause.

c. We cannot conclude that hurricanes with category 4 has more deaths than those of category 1.

d. None of these.

Regression Analysis
	r²	0.022	n	93
	r	0.147	k	1
	Std. Error of Estimate	191.239	Dep. Var.	alldeaths
Regression output						confidence interval
variables		coefficients	std. error	t (df=91)	p-value	95% lower	95% upper
Intercept	a =	-16.088	44.358	-0.363	.7177	-104.200	72.023
Category	b =	26.816	18.924	1.417	.1599	-10.773	64.406
ANOVA table
Source	SS	df	MS	F	p-value
Regression	73,443.439	1	73,443.439	2.01	.1599
Residual	3,328,099.743	91	36,572.525
Total	3,401,543.183	92

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.

There is no significant relation between categories and number of deaths.it is not appropriare to the cause and effect relation here. It is not reasonable to conclude that hurricanes with higher categories will cause more death .