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A botanist measures the heights of 25 seedlings and obtains a mean of 41.6 cm and standard deviation of 4.8 cm. 9. What is th
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Answer #1

Solution:

Given ,

n = 25

\bar x = 41.6

s = 4.8

9)

The sample mean is the best point estimate of the population mean.

So , required best point estimate is 41.6

10)

Our aim is to construct 98% confidence interval.   

\therefore c = 0.98

\therefore\alpha = 1- c = 1- 0.98 = 0.02

\therefore  \alpha/2 = 0.10 \slash 2 = 0.01

Also, d.f = n - 1 = 25 - 1 = 24

\therefore  ta/2.0.f.  =  ta/2,1-1  =  t0.01 , 24 =  2.492

( use t table or t calculator to find this value..)

The margin of error is given by

E =  t\alpha/2,d.f. * (s / \sqrt{} n)

=  2.492 * (4.8 / \sqrt{} 25)

= 2.39232

Now , confidence interval for mean(\mu) is given by:

(\bar x - E ) <  \mu <  (\bar x + E)

(41.6 - 2.39232)   <  \mu <  (41.6 + 2.39232)

39.20768 <  \mu <  43.99232

Required 98% confidence interval for mean is (39.20768 , 43.99232)

11)

df = n - 1 = 24

At 95% confidence level ,

\alpha = 1 - 95% = 1 - 0.95 = 0.05

\alpha / 2 = 0.025 and 1 - (\alpha / 2) = 0.975

Now , using chi square table ,

\chi2\alpha/2,df = 39.36

\chi21 - \alpha /2,df = 12.40

The 95% confidence interval for \sigma is,

s\sqrt{\frac{n-1}{\chi_{\alpha/2,df}^{2}}} <\sigma< s\sqrt{\frac{n-1}{\chi_{1 - \alpha/2,df}^{2}}}

4.8\sqrt{}[( 25 - 1 ) / 39.36] < \sigma < 4.8\sqrt{}[( 25 - 1 ) / 12.40]

3.75 < \sigma < 6.68

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