A software developer wants to know how many new computer games people buy each year. Assume a previous study found the variance to be 1.44. She thinks the mean is 6 computer games per year. What is the minimum sample size required to ensure that the estimate has an error of at most 0.15 at the 99% level of confidence

Respuesta :

Answer:

The sample size is  [tex]n = 426 [/tex]

Step-by-step explanation:

From the question we are told that

   The population  variance  is  [tex]\sigma^2 = 1.44[/tex]

   The mean is  [tex]\= x = 6[/tex]

     The margin of error is  E =  0.15

Generally the standard deviation is mathematically represented as

      [tex]\sigma = \sqrt{\sigma^2 }[/tex]

=>   [tex]\sigma = \sqrt{1.44 }[/tex]

=>   [tex]\sigma = 1.2[/tex]

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

      [tex]\alpha = (100 - 99 ) \%[/tex]

=>   [tex]\alpha = 0.01[/tex]

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

   [tex]Z_{\frac{\alpha }{2} } =  2.58[/tex]

Generally the sample size is mathematically represented as

    [tex]n = [\frac{Z_{\frac{\alpha }{2} } *  \sigma }{E} ] ^2[/tex]

=> [tex]n = [\frac{2.58 * 1.2 }{0.15} ] ^2[/tex]

=>  [tex]n = 426 [/tex]

   

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