A personnel manager has found that, historically, the scores on aptitude tests given to applicants for entry-level positions follow a normal distribution with standard deviation 21.73 points. A random sample of 14 test scores from the current group of applicants had a mean score of 74.57 points. Based on these sample results, a statistician found for the population mean a confidence interval extending from 65.7425 to 83.3975 points. Find the confidence level of this interval. Round off your answer to two decimal places.

Respuesta :

Answer:

The value is [tex]C = 85\%[/tex]

Step-by-step explanation:

From the question we are told that

  The standard deviation is  [tex]\sigma = 21.73[/tex]

  The sample size is  n  =  14

  The mean score is  [tex]\= x = 74.57[/tex]

  The confidence interval is  65.7425 to 83.3975

Generally the degree of freedom is mathematically represented as

      [tex]df = n -1[/tex]

=>  [tex]df = 14 -1[/tex]

=>  [tex]df = 13[/tex]

Generally the margin of error is mathematically evaluated as

     [tex]E = \frac{83.3975 -65.7425 }{2}[/tex]

=> [tex]E = 8.828[/tex]

Generally this margin of error is mathematically represented as

     [tex]E = t_{\frac{\alpha }{2} , df} * \frac{\sigma }{\sqrt{n} }[/tex]

=>   [tex]8.828 = t_{\frac{\alpha }{2} , df} * \frac{21.73 }{\sqrt{14} }[/tex]

=>   [tex]t_{\frac{\alpha }{2} , df} = 1.520[/tex]

From the t distribution table the probability of   [tex]( t> 1.520 )[/tex]  at a degree of freedom of 13  is  

     [tex]\frac{\alpha }{2} = P( t > 1.52 ) = 0.076[/tex]

=>  [tex]\alpha = 2 * 0.076[/tex]

=>  [tex]\alpha = 1.52[/tex]

So the confidence level is evaluated as  

     [tex]C = 1- \alpha[/tex]

=>  [tex]C = 1- 0.152[/tex]

=>  [tex]C = 0.85[/tex]

Converting to percentage

=>  [tex]C = 0.85 * 100[/tex]

=>  [tex]C = 85\%[/tex]