Calidad

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MTB > set c1
DATA> 86.98 86.90 86.94 87.11 86.80 87.02 87.10 87.1386.92 87.04 86.92 87.13 87.10 86.91 87.03 86.91 87.05 86.95 86.94 86.92 87.16 87.08 87.13 86.84 86.81 86.83 87.19 86.8186.98 86.97
DATA> end
MTB > desc c1
 
Descriptive Statistics: C1
Variable N N* Mean SE Mean StDev MinimumQ1 Median Q3
C1 30 0 86.987 0.0207 0.114 86.800 86.910 86.975 87.100
Variable Maximum
C1 87.190
MTB > OneZ C1;SUBC> Sigma .114.
 
One-Sample Z: C1
The assumed standard deviation = 0.114
　
Variable N Mean StDev SE Mean95% CI
C1 30 86.9867 0.1136 0.0208 (86.9459, 87.0275)
　
　
MTB > OneZ 100 11;
SUBC> Sigma .02;
SUBC>Confidence 99.
 
One-Sample Z
The assumed standard deviation = 0.02
　
N Mean SE Mean 99% CI
100 11.0000 0.0020(10.9948, 11.0052)
MTB > OneZ 100 11;
SUBC> Sigma .02;
SUBC> Confidence 95.
 
One-Sample Z
The assumedstandard deviation = 0.02
　
N Mean SE Mean 95% CI
100 11.0000 0.0020 (10.9961, 11.0039)
MTB >

a) 1.(86.9459,87.0275)=95
2. (10.9961, 11.0039)=95
b) (10.9948, 11.0052)=99
c) No, porque los intervalos lo demuestran.