Respuesta :
Answer:
2.1
the point estimate of the population mean is
[tex]\mu = \= x = \$ 5.24[/tex]
2.2
The lower limit [tex]k= 4.8127 [/tex]
2.3
The upper limit [tex]u= 5.6673 [/tex]
Step-by-step explanation:
From the question we are told that
The sample size is n = 100
The sample mean is [tex]\= x = \$ 5.24[/tex]
The standard deviation is [tex]\sigma = \$ 2.18[/tex]
Generally given that the sample size is large enough n > 30 and that the sample was drawn from a normal population, then the point estimate of the population mean is
[tex]\mu = \= x = \$ 5.24[/tex]
From the question we are told the confidence level is 95% , hence the level of significance is
[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} } * \frac{\sigma }{\sqrt{n} }[/tex]
=> [tex]E = 1.96 * \frac{2.18 }{\sqrt{100} }[/tex]
=> [tex]E =0.4273 [/tex]
Generally the lower limit of the 95% confidence interval for estimating the unknown population mean is mathematically represented as
[tex]k = \= x -E [/tex]
=> [tex]k= 5.24 -0.4273 [/tex]
=> [tex]k= 4.8127 [/tex]
Generally the upper limit of the 95% confidence interval for estimating the unknown population mean is mathematically represented as
[tex]u= \= x + E [/tex]
=> [tex]u= 5.24 + 0.4273 [/tex]
=> [tex]u= 5.6673 [/tex]
