Respuesta :
Answer:
Step-by-step explanation:
a) Estimate for population mean = Sum/n =[tex]\frac{59.1}{12} =4.925[/tex]
b) Variance = 0.099208
Std dev = 0.314974
Std error = 0.0950
For 95% margin of error = 1.96*Std error
=0.1861
Confidence interval = [tex](4.925-0.1861, 4.925+0.1861)\\=(4.7389, 5.1111)[/tex]
Interpretation of confidence interval:
A) if repeated samoles are taken, 95% of them will have a sample pH of rain water between [ ] & [ ].
For 99% CI, z value = 2.59
Conf interval = (4.6790, 5.1710)
C)if repeated samoles are taken, 99% of them will have a sample pH of rain water between [ ] & [ ].
As the level of confidence increases l, the width of the interval[ increases] this makes sense since the [ margin of error] [increases]
a) Estimate for population mean
[tex]=\dfrac{sum\; of\; all\; observations}{number \;of\;all\;observations}=\dfrac{59.1}{12}=4.925[/tex]
Variance [tex]= 0.099208[/tex] , Std. dev [tex]= 0.314974[/tex] and Std. error [tex]= 0.0950[/tex]
For [tex]95[/tex] % margin of error [tex]=1.96*Std. error=0.1861[/tex]
Confidence interval [tex]=(4.925-0.1861,4.925+0.1861)=(4.7389,5.1111)[/tex]
Interpretation of confidence interval:
A) If repeated samples are taken, [tex]95[/tex]% of them will have a sample pH of rain water between [ ] & [ ].
Confidence interval [tex]=(4.7389,5.1111)[/tex]
C)if repeated samples are taken, [tex]99[/tex]% of them will have a sample pH of rain water between [ ] & [ ].
For [tex]99[/tex]% CI, [tex]Z[/tex] value [tex]= 2.59[/tex]
Confidence interval [tex]= (4.6790, 5.1710)[/tex]
As the level of confidence increases, the width of the interval[ increases] this makes sense since the margin of error [increases].
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