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Assuming that the population is normally​ distributed, construct a 90 % confidence interval for the population​...

Assuming that the population is normally​ distributed, construct a 90 % confidence interval for the population​ mean, based on the following sample size of n equals 6. ​1, 2,​ 3, 4, 5​, and 23 In the given​ data, replace the value 23 with 6 and recalculate the confidence interval. Using these​ results, describe the effect of an outlier​ (that is, an extreme​ value) on the confidence​ interval, in general. Find a 90 % confidence interval for the population​ mean, using the formula or technology. (Round to two decimal places as​ needed.)

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Answer #1

Contideni intenva l uoheme mea n toe ttae vave CTこConfidence 0-1-90 :0.) t9ad. to 05,5 = 2.015 (using t-table} 63±tal2 1 ) 8.3865 Confidence inkcNva1 /b C (-0.5, 13.)INTERPRETATIONS  
Interpretations:
1) We are 90% sure that the interval [-0.51 , 13.11] contains the true population mean
2) If a large number of samples are collected, and a confidence interval is created
for each sample, 90% of these intervals will contains the true population mean  

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