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11) Is there a significant difference at a = 0.10 in the average heights in feet of high towers in Europe and the ones in Sou
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Here we want to test whether there is a significant difference in the average heights in feet of high towers in Europe and South Africa.

Let  11   be the average heights in feet of high towers in Europe and let  112  be the average heights in feet of high towers in South Africa.

The null hypothesis is given as

Ho: M1 = 42

i.e   there is no  significant difference in the average heights in feet of high towers in Europe and South Africa

H_{1} : \mu_{1} \mp\mu_{2}

i.e there is a significant difference in the average heights in feet of high towers in Europe and South Africa.

Let x be the sample  heights in feet of high towers in Europe is

497 463 888 1236 1312 365 1288 987

Let y be sample heights in feet of high towers in South Africa.

714 1227 369 705 325 721 964 830 1799

Sample sizes is given as

n1 = 8

n2 = 9

The sample mean is given as

1596134420837_blob.png

=\frac{7036}{8}

= 879.5

1596134420741_blob.png

=\frac{7654}{9}

= 850.4444

Calculating variance

1596134420720_blob.png

=  153876.9

Calculating variance

1596134420896_blob.png

= 202409

The pooled variance will be ( assuming equal variances  )

$2 nl* si + n2 * sź nl + n2 - 2

=\frac{8* 153876.9 +9* 202409}{8+9-2}

=\frac{ 3052696}{8+9-2}

= 203513.1

Test statistic is

1596134872521_blob.png

=\frac{ 879.5 - 850.4444 }{451.1243 * \sqrt{1 /8 + 1/9} }

=\frac{ 29.05556 }{451.1243 * 0.4859127 }

=\frac{ 29.05556 }{219.207 }

= 0.1325485

The p-value with degree of freedom

df = n1 + n2 -1

= 8 + 9 -2

= 15

The p-value is given as

P[\left |t_{n_{1}+n_{2}-2} \right | >0.1325485 ] = 0.8963122

At 0.10 level of significance

p-value = 0.8963 > 0.10

Failed to reject the null hypothesis .

There is no sufficient evidence that there a significant difference in the average heights in feet of high towers in Europe and South Africa .

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