Given that the population mean "\\mu" = 4.5 minutes as claimed by the company.
On observing a sample set of N = 50
sample mean is found to be "\\bar x" = 3.9 and
standard deviation "\\sigma" = 2.8
Let us assume that the null hypothesis H0 : "\\mu" = 4.5 (company's claim is correct)
Alternate hypothesis will be Ha : "\\mu \\not = 4.5"
For the above given data we can calculate the value of Zcal = "\\frac{\\bar x - \\mu}{\\frac{\\sigma}{\\sqrt N}}"
Zcal = "\\frac {3.9 - 4.5}{\\frac{2.8}{\\sqrt50}} = -1.515"
At the given level of significance "\\alpha" = 0.01 we can find the value of Z("\\frac {\\alpha}{2}" ) from the standard normal table.
Since this is a two tailed test we consider "\\alpha"/2 = 0.01/2 = 0.005
Therefore Z("\\frac {\\alpha}{2}" ) = Z0.005 = 2.5758
Since, |Zcal| = |-1.515| = 1.515 is found to be less than < Z("\\frac {\\alpha}{2}" ) = 2.5758,
we do not have sufficient evidence to reject the company's claim.
Hence we can say that the sample results are not significantly different than the company's claim.
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