In: Statistics and Probability
Decade | Sample | Cat 3-5 Hurricanes |
1851-1860 | 1 | 6 |
1861-1870 | 2 | 1 |
1871-1880 | 3 | 7 |
1881-1890 | 4 | 5 |
1891-1900 | 5 | 8 |
1901-1910 | 6 | 4 |
1911-1920 | 7 | 7 |
1921-1930 | 8 | 5 |
1931-1940 | 9 | 8 |
1941-1950 | 10 | 10 |
1951-1960 | 11 | 8 |
1961-1970 | 12 | 6 |
1971-1980 | 13 | 4 |
1981-1990 | 14 | 5 |
1991-2000 | 15 | 5 |
2001-2010 | 16 | 7 |
What is the mean, mode, median, range?
Statistical analysis of the above data reveals a confidence interval of 1.10652102+/- the mean. | |||||||
What are the upper and lower confidence limits? |
Suppose 10 hurricanes were to occur this decade. Based on the 95%CI, what is the probability | |||||||
of such an occurrence? |
Based on statistical theory of the normal distribution, what conclusion can you draw? |
First of all we need to obtain sample mean and sample variance from the given sample of 16 observations:
sample mean = (6+1+7+5+8+4+5+7+8+10+8+6+4+5+5+7)/16 = 96/16 = 6
sample variance = (36+1+49+25+64+25+49+64+100+64+36+16+25+25+49)/16 - 6*6 = 644/16 - 36 = 40.25-36 = 4.25
Now,
The upper and lower confidence limit is : 1.10652102 +/- mean = (6-1.10652102, 6+1.10652102) = (4.8935, 7.1065)
If 10 hurricane were to occur, mu = 10
Null Hypothesis : 10 hurricanes to occur this year
Alternate Hypothesis : hurricanes not equal to 10, mu = 10
Level of significance = 5% ( CI 95% )
Z = |x_bar- mu|/sqrt(sample variance/n) , sqrt : square root
Z = (6-10)/sqrt(4.25/16) = 4/0.515 = 7.77
Probability of such occurrence = 0.000 , using normal table
also 95% CI are , x_bar +/- (Zcritical)*sqrt(sample variance/n) , sqrt : square root
n = 16, sample variance = 4.25 , Zcritical at 95% CI is 1.96
95% CI : 6 +/- (1.96*sqrt(4.25/16)) = (6 - 0.515*1.96, 6 + 0.515*1.96) = (6 - 1.01, 6 + 1.01) = (4.99, 7.01)
now, using criteria, reject H0 if Z > Zcritical
or Z (7.77) > Zcritical (1.96)
Hence we reject H0
this decade hurricanes will not be 10