Question

Consider the folloing data for two independent random samples taken from two normal populations with equal...

Consider the folloing data for two independent random samples taken from two normal populations with equal variances. find the 80% confidence interval for µ1 - µ2. sample 1: 12,8,11,6,13,7 sample 2: 13,16,10,9,13,14 what is the left endpoint and right endpoint?

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Answer #1

Confidence Interval for Difference in two Population means \small \mu _{1}-\mu _{2}

Formula for Confidence Interval for Difference in two Population means when population Standard deviation are equal and not known

\small (\overline{x_{1}}-\overline{x_{2}})\pm t_{\alpha /2,n-1}\times s_{p}\sqrt{\frac{1}{n_{1}}+\frac{1}{n_{2}}}

\small Pooled\; \; Sample\; \; Standard\; deviation\; \; :s_{p}=\sqrt{\frac{(n_{1}-1)s_{1}^{2}+(n_{2}-1)s_{2}^{2}}{n_{1}+n_{2}-2}}

\small n_{1} : Sample Size of Sample 1
\small n_{2} : Sample Size of Sample 2
\small \overline{x_{1}} : Sample Mean of Sample 1
\small \overline{x_{2}} Sample Mean of Sample 2
s1 : Sample Standard Deviation of Sample 1
s2 : Sample Standard Deviation of Sample 2

For Sample 1

Sample 1 x1 x1-\small \overline{x_{1}} (x1-\small \overline{x_{1}})2
12 2.5 6.25
8 -1.5 2.25
11 1.5 2.25
6 -3.5 12.25
13 3.5 12.25
7 -2.5 6.25
Total 57 41.5
Mean: \small \overline{x_{1}} : 57/6=9.5

\small s_{1}=\sqrt{\sum \frac{(x_{1}-\overline{x}_{1})^{2}}{n_{1}-1}}=\sqrt{\frac{41.5}{6-1}}=2.881

For Sample 2

Sample 2 x2 x2-\small \overline{x}_{2} (x2-\small \overline{x}_{2})
13 0.5 0.25
16 3.5 12.25
10 -2.5 6.25
9 -3.5 12.25
13 0.5 0.25
14 1.5 2.25
Total 75 33.5
Mean 75/6=12.5

\small s_{2}=\sqrt{\sum \frac{(x_{1}-\overline{x}_{1})^{2}}{n_{1}-1}}=\sqrt{\frac{33.5}{6-1}}=2.588

n1 : Sample Size of Sample 1 6
n2 : Sample Size of Sample 2 6
\small \overline{x_{1}} : Sample Mean of Sample 1 9.5
\small \overline{x_{2}} : Sample Mean of Sample 2 12.5
s1 : Sample Standard Deviation of Sample 1 2.881
s2 : Sample Standard Deviation of Sample 2 2.588
Confidence Level 80%
\small \alpha (= 100-80/100=20/100 ) = 0.2 0.2
\small \alpha/2 (=0.2/2=0.1) 0.1
Degrees of freedom : ( n1+n2-2=6+6-2=10) 10
\small t_{\alpha /2,df}=t_{0.1,10} 1.3722

\small Pooled\; \; Sample\; \; Standard\; deviation\; \; :s_{p}=\sqrt{\frac{(n_{1}-1)s_{1}^{2}+(n_{2}-1)s_{2}^{2}}{n_{1}+n_{2}-2}}

\small s_{p}= \sqrt{\frac{(6-1)2.881^{2}+(6-1)2.588^{2}}{6+6-2}}=\sqrt{\frac{74.9895}{10}}=\sqrt{7.499}=2.7384

Confidence Interval for Difference in two Population means

\small (\overline{x_{1}}-\overline{x_{2}})\pm t_{\alpha /2,n-1}\times s_{p}\sqrt{\frac{1}{n_{1}}+\frac{1}{n_{2}}}

\small =(9.5-12.5)\pm1.3722\times2.7384 \sqrt{\frac{1}{6}+\frac{1}{6}}

\small =-3\pm1.3722\times2.7384\times0.5774

\small =-3\pm2.1695=(-5.1695,-0.8305)

80% confidence interval for µ1 - µ2 = (-5.1695,-0.8305)

left endpoint : -5.1695

right endpoint : -0.8305

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