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DedPeter [7]
3 years ago
10

The effectiveness of a blood-pressure drug is being investigated. An experimenter finds that, on average, the reduction in systo

lic blood pressure is 53.9 for a sample of size 24 and standard deviation 5.6. Estimate how much the drug will lower a typical patient's systolic blood pressure (using a 90% confidence level). Assume the data is from a normally distributed population. Enter your answer as a tri-linear inequality accurate to three decimal places.
_______ < μ < _________ please teach using calculator method
Mathematics
1 answer:
PIT_PIT [208]3 years ago
5 0

Answer:

The  estimate is

             52.02  <  \mu  < 55.78

Step-by-step explanation:

From the question we are told that

    The sample mean is \ = x  =  53.9

     The sample size is  n =  24

      The standard deviation is  \sigma =  5.6

 

Given that the confidence level is  90% the level of significance is mathematically represented as

           \alpha  =  100 - 90

            \alpha  =  10 \%

            \alpha  =  0.10

Next we obtain the critical value of  \frac{\alpha }{2} from the normal distribution table.The value is  

           Z_{\frac{\alpha }{2} } =Z_{\frac{0.10 }{2} } =  1.645

The reason we are obtaining critical value of    \frac{\alpha }{2} instead of    \alpha is because    \alpha

represents the area under the normal curve where the confidence level interval (  1 - \alpha ) did not cover which include both the left and right tail while  

\frac{\alpha }{2} is just the area of one tail which what we required to calculate the margin of error

NOTE: We can also obtain the value using critical value calculator (math dot armstrong dot edu)

Generally the margin of error is mathematically represented as

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

substituting values

         E  =  1.645  *  \frac{5.6 }{ \sqrt{24} }

          E  =  1.880

The  estimate of how much the drug will lower a typical patient's systolic blood pressure(using a 90% confidence level) is mathematically represented as

         \= x  -  E  <  \mu  <  \= x  +  E

substituting values

         53.9  -  1.880  <  \mu  <  53.9  +  1.880

         52.02  <  \mu  < 55.78

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