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The weight percent of silicon in six different rock samples, each containing different amounts of silicon, was measured by tw

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Since we have the same sample, we will use a paired t-test.

The following table is obtained:

Sample 1 Sample 2 Difference = Sample 1 - Sample 2
11.570 11.540 0.030000000000001
15.380 15.270 0.11
17.950 17.800 0.15
22.840 22.810 0.030000000000001
25.110 25.160 -0.050000000000001
27.070 27.010 0.059999999999999
Average 19.987 19.932 0.055
St. Dev. 6.013 6.04 0.07
n 6 6 6

For the score differences, we have

\bar D = 0.055

s_D = 0.07

Test Statistics

The t-statistic is computed as shown in the following formula:

t_{calc} = \frac{\bar D}{s_D/ \sqrt n} = \frac{ 0.055}{ 0.07/ \sqrt 6} = 1.931

Critical Value

(Use two-tailed test since not specified)

Based on the information provided, the significance level is α=0.05, and the degrees of freedom are df=5.

Hence, it is found that the critical value for this two-tailed test is table = 2.571

Please do upvote if you are satisfied! Let me know in the comments if anything is not clear. I will reply ASAP!

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