Use the sample information x¯x¯ = 43, σ = 6, n = 13 to calculate the following confidence intervals for μ assuming the sample is from a normal population.   (a) 90 percent confidence. (Round your answers to 4 decimal places.)    The 90% confidence interval is from __________  to _____________   (b) 95 percent confidence. (Round your answers to 4 decimal places.)    The 95% confidence interval is from____________ to_______________  (c) 99 percent confidence. (Round your answers to 4 decimal places.)    The 99% confidence interval is from_____________to________________

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Use the sample information x¯x¯ = 43, σ = 6, n = 13 to calculate the following confidence intervals for μ assuming the sample is from a normal population.
 
(a) 90 percent confidence. (Round your answers to 4 decimal places.)
  
The 90% confidence interval is from __________  to _____________
 
(b) 95 percent confidence. (Round your answers to 4 decimal places.)
  
The 95% confidence interval is from____________ to_______________ 

(c) 99 percent confidence. (Round your answers to 4 decimal places.)
  
The 99% confidence interval is from_____________to________________ 

Expert Solution
Step 1

Given Information:

Sample mean x¯=43

Population standard deviation σ=6

Sample size n=13

Since, population standard deviation is known and the sample is drawn from a normal population, we use z-distribution.

(a) To construct 90% confidence interval:

Confidence level = 90% = 0.90

Significance level α=1-0.90=0.10

Formula used to calculate confidence interval for μ is:

C.I=x¯-zα/2σn,  x¯+zα/2σn

where, zα/2 is the critical value at 0.102=0.05 significance level.

Using standard normal table, z-critical value at 0.05 significance level is obtained as 1.645

Substitute the values in the formula:

C.I=x¯-zα/2σn,  x¯+zα/2σn=43-1.645613, 43+1.645613=43-1.645×1.664100589, 43+1.645×1.664100589 =43-2.737445468,  43+2.737445468=40.26255453,  45.7374454740.2626,  45.7374

Thus, 90% confidence interval is from 40.2626 to 45.7374

 

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