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myrzilka [38]
3 years ago
5

1. A company that produces bread is concerned about the distribution of the amount of sodium in its bread. The company takes a s

imple random sample of 100 slices of bread and computes the sample mean to be 103 milligrams of sodium per slice. Assume that the population standard deviation is 10 milligrams. a) Construct a 95% confidence interval estimate for the mean sodium level. b) Construct a 99% confidence interval estimate for the mean sodium level.
Mathematics
1 answer:
REY [17]3 years ago
5 0

Answer:

The 95% confidence interval is  101.13  <  \mu < 104.87

The 99% confidence interval is  100.54  <  \mu < 105.46

Step-by-step explanation:

From the question we are told that

   The  sample size is  n = 110

    The sample mean is  \= x  =  103 \  mg

     The population standard deviation is  \sigma  =  10 \  mg

From the question we are told the confidence level is  95% , hence the level of significance is    

      \alpha = (100 - 95 ) \%

=>   \alpha = 0.05

Generally from the normal distribution table the critical value  of  \frac{\alpha }{2} is  

   Z_{\frac{\alpha }{2} } =  1.96

Generally the margin of error is mathematically represented as  

      E = Z_{\frac{\alpha }{2} } *  \frac{\sigma }{\sqrt{n} }

=>    E = 1.96 *  \frac{ 10 }{\sqrt{110} }

=>    E =1.8688    

Generally 95% confidence interval is mathematically represented as  

      \= x -E <  \mu <  \=x  +E

=>  103 - 1.8688 <  \mu < 103 + 1.8688

=>   101.13  <  \mu < 104.87

Considering question b

From the question we are told the confidence level is  99% , hence the level of significance is    

      \alpha = (100 - 99 ) \%

=>   \alpha = 0.01

Generally from the normal distribution table the critical value  of  \frac{\alpha }{2} is  

   Z_{\frac{\alpha }{2} } =  2.58

Generally the margin of error is mathematically represented as  

      E = Z_{\frac{\alpha }{2} } *  \frac{\sigma }{\sqrt{n} }

=>    E = 2.58 *  \frac{ 10 }{\sqrt{110} }

=>    E =2.4599    

Generally 99% confidence interval is mathematically represented as  

      \= x -E <  \mu <  \=x  +E

=>  103 - 2.4599 <  \mu

=>   100.54  <  \mu < 105.46

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