In the same scenario as 7.09, suppose you obtained a mean of $167 spent on transportation and a standard deviation of $40. Calculate a 95% confidence interval for the mean and select the values that come closest to those that would fill the spaces in the following interpretation: we can be 95% confident that they mean amount of money spent on transportation lies between _____ and _____ .'

Respuesta :

Answer:

(88.6, 245.4)

Step-by-step explanation:

Given that suppose you obtained a mean of $167 spent on transportation and a standard deviation of $40.

We are to calculate a 95% confidence interval for the mean

Assuming normal distribution we say critical value for 95% is 1.96

Margin of error = 1.96(std deviation)

= 78.40

Confidence interval = (Mean-margin of error, Mean + margin of error)

= (167-78.4, 167+78.4)

= (88.6, 245.4)

Answer:

95% confidence interval for the mean =  [88.6 , 245.4]

Step-by-step explanation:

We are given that a mean of $167 spent on transportation and a standard deviation of $40 is obtained.

We have to calculate a 95% confidence interval for the mean.

The 95% confidence interval formula for mean rate is given by;

95% confidence interval for [tex]\mu[/tex] = Sample mean [tex]\pm[/tex]  [tex]Z_\frac{\alpha}{2}[/tex] * Standard deviation

Here, sample mean = $167

         standard deviation = $40

         [tex]Z_\frac{\alpha}{2}[/tex] = critical value of Z at [tex]\alpha[/tex] (significance level) of 5% is given in z table

                   as 1.96 .

So, 95% confidence interval for [tex]\mu[/tex] = [167 - (1.96 * 40) , 167 + (1.96 * 40)]

                                                          = [ 167 - 78.4 , 167 + 78.4 ]

                                                          = [88.6 , 245.4]