兩段時間平均數差異統計檢定

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2010/04/20

Pei-Yu Chueh

Data

benthic d18O : Lisiecki, L. E., and M. E. Raymo (2005),

A Pliocene-Pleistocene stack of 57 globally distributed benthic d18O records, Paleoceanography,20, PA1003, doi:10.1029/2004PA001071.

Vostok : Petit J.R. et al., Climate and Atmospheric

History of the Past 420,000 years from the Vostok Ice

Core, Antarctica, Nature, 399, pp.429-436.

Orbital Variations and Insolation Database : Berger A. and Loutre M.F., 1991. Insolation values for the climate of the last 10 million years. Quaternary

Sciences Review, Vol. 10 No. 4, pp. 297-317, 1991.

Mean=

-4.1871

Std=

0.4411

Mean=

-4.1879

Std=

0.4486

Mean=

-4.1937

Std=

0.4391

兩段時間平均數差異統計檢定

• 利用 t test

去做檢定,查詢 matlab

的 function

• H = TTEST2(X,Y) performs a T-test of the hypothesis that two independent samples, in the vectors X and Y, come from distributions with equal means, and returns the result of the test in

H. H=0 indicates that the null hypothesis ("means are equal") cannot be rejected at the 5% significance level. H=1 indicates that the null hypothesis can be rejected at the 5% level. The data are assumed to come from normal distributions with unknown, but equal, variances. X and Y can have different lengths.

• 利用我取的兩段時間做出來

H = TTEST2(TS1,TS2)=0

• 所以表示 the null hypothesis cannot be rejected at the 5% level

兩段時間變異數差異檢定

• 利用 F test 去做檢定,查詢 matlab 的 function

• H = VARTEST2(X,Y) performs an F test of the hypothesis that two independent samples, in the vectors X and Y, come from normal distributions with the same variance, against the alternative that they come from normal distributions with different variances.

The result is H=0 if the null hypothesis ("variances are equal") cannot be rejected at the 5% significance level, or H=1 if the null hypothesis can be rejected at the 5% level. X and Y can have different lengths.

• 利用我取的兩段時間做出來 F = VARTEST2(TS1,TS2)=0

• 所以表示 the null hypothesis cannot be rejected at the 5% level

相關分析

E

T

P

65N_Jul

65S_Jan

Vostok benthic O18 Vostok CO2 Vostok O18

-0.3366

0.2231

0.2127

-0.143

0.0124

0.1709

0.0908

-0.2656

0.1229

0.042

0.0031

0.0176

-0.0395

0.1546

-0.0005

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