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olga55 [171]
3 years ago
8

NASA scientists obtained the following data from airborne radiometer scans using the ESTAR method of aperature synthesis Soil Mo

isture Percentages: 19,16,15,16.5,15,14 Source: D. M. LeVine, A. J. Griffis, C. T. Swift, and T. J. Jackson, "ESTAR: A Synthetic Aperature Microwave Radiometer for Remote Sensing Applications," Proceedings of the IEEE, December 1994, p. 1795 These data represent sample measurements taken over the 220-240 degree K brightness temperature range. The theoretical model states that the mean volumetric soil moisture percentage should be 13.5%. Use the confidence interval approach to conclude whether the sample data support or refute the null hypothesis that the mean ESTAR measurements equal the theoretical level, using a .05 level of significance. Lower 95% confidence limit Upper 95% confidence limit . What is your conclusion?
Mathematics
1 answer:
Gnom [1K]3 years ago
6 0
U will divd in this one and u put do it two times and u be goood
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Snezhnost [94]

You can try to show this by induction:

• According to the given closed form, we have S_1=3\times2^{1-1}+2(-1)^1=3-2=1, which agrees with the initial value <em>S</em>₁ = 1.

• Assume the closed form is correct for all <em>n</em> up to <em>n</em> = <em>k</em>. In particular, we assume

S_{k-1}=3\times2^{(k-1)-1}+2(-1)^{k-1}=3\times2^{k-2}+2(-1)^{k-1}

and

S_k=3\times2^{k-1}+2(-1)^k

We want to then use this assumption to show the closed form is correct for <em>n</em> = <em>k</em> + 1, or

S_{k+1}=3\times2^{(k+1)-1}+2(-1)^{k+1}=3\times2^k+2(-1)^{k+1}

From the given recurrence, we know

S_{k+1}=S_k+2S_{k-1}

so that

S_{k+1}=3\times2^{k-1}+2(-1)^k + 2\left(3\times2^{k-2}+2(-1)^{k-1}\right)

S_{k+1}=3\times2^{k-1}+2(-1)^k + 3\times2^{k-1}+4(-1)^{k-1}

S_{k+1}=2\times3\times2^{k-1}+(-1)^k\left(2+4(-1)^{-1}\right)

S_{k+1}=3\times2^k-2(-1)^k

S_{k+1}=3\times2^k+2(-1)(-1)^k

\boxed{S_{k+1}=3\times2^k+2(-1)^{k+1}}

which is what we needed. QED

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