g In 2013, the Pew Research Foundation reported that 43% of U.S. adults report that they live with one or more chronic conditions. However, this value was based on a sample, so it may not be a perfect estimate for the population parameter of interest on its own. The study reported a standard error of about 1.7%, and a normal model may reasonably be used in this setting. Create a 95% confidence interval for the proportion of U.S. adults who live with one or more chronic conditions. Report your answer as a percentage rounded to 3 decimal places. We are 95% confident that the true proportion of U.S. adults who live with one or more chronic conditions is between % and % Submit All Parts Question 6

Respuesta :

Answer:

We are 95% confident that the true proportion of U.S. adults who live with one or more chronic conditions is between 39.7% and 46.33%

Step-by-step explanation:

From the question we are told that

  The  sample  proportion is [tex]\r p = 43\%  = 0.43[/tex]

   The  standard error is [tex]SE =  0.017[/tex]

Given that the confidence level is 95%  then the level of significance is mathematically represented as  

      [tex]\alpha =  (100-95)\%[/tex]

=>   [tex]\alpha = 0.05[/tex]

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

   [tex]Z_{\frac{\alpha }{2} } =  1.96[/tex]

Generally the margin of error is mathematically represented as

     [tex]E = Z_{\frac{\alpha }{2} } *  SE[/tex]

=>    [tex]E = 1.96 *  0.017[/tex]

=>     [tex]E = 0.03332 [/tex]

Generally 95% confidence interval is mathematically represented as

      [tex]\r p -E <  p <  \r p +E[/tex]

=>   [tex]0.43 -0.03332 <  p <  0.43 + 0.03332[/tex]

=>    [tex] 0.39668 <  p <  0.46332[/tex]

Converting to percentage

[tex] (0.39668 * 100)<  p <  (0.46332*100)[/tex]        

[tex] 39.7\% <  p < 46.33 \%[/tex]