Suppose you are conducting a study about how the average US worker spends time over the course of a workday. You are interested in how much time workers spend per day on personal calls, emails, and social networking websites, as well as how much time they spend socializing with coworkers versus actually working.

The most recent census provides data for the entire population Of U.S. workers on variables such as travel time to work, time spent at work, and break time at work. The census, however, does not include data on the variables you are interested in, so you obtain a random sample of 82 full-time workers in the United States and ask about personal calls, e-mails, and so forth. You are curious about how your sample compares with the census, so you also ask the workers the same questions about work that are asked in the census.

Suppose the mean break time per day from the most recent census is 29.6 minutes, with a standard deviation of 16.0 minutes. Your sample of 82 U.S. workers provides a mean break time per day of 31.9 minutes with a sample standard deviation of 22.4 minutes.

Organize this information by completing the following table.

Î¼ = ___ M=
Ïƒ= _ s= ___
ÏƒM = _ sM = _______

The value of [tex]\mu[/tex] = 29.6, M = 31.9, [tex]\sigma[/tex] = 16 , s = 22.4, [tex]\sigma_m[/tex] = 3.121, and [tex]\rm S_m[/tex] = 2.473.

It is given that the mean break time per day from the most recent census is 29.6 minutes with a standard deviation of 16 minutes.

It is required to organize the information in a table if the sample size is 82.

What is the margin of error(MOE)?

It is defined as an error that gives an idea about the percentage of errors that exist in the real statistical data.

The formula for finding the MOE:

[tex]\rm MOE = Z_{score}\frac{s}{\sqrt[]{n} }[/tex]

Where is the z score at the confidence interval

s is the standard deviation

n is the number of samples.

We know:

[tex]\rm \sigma_m= \frac{\sigma^2}{n}[/tex]

We have,

[tex]\rm \sigma = 16 \ and \ n = 82[/tex]

[tex]\rm \sigma_m= \frac{16^2}{82}[/tex]

[tex]\rm \sigma_m= 3.121[/tex]

For [tex]\rm S_m[/tex]

[tex]\rm S_m = \frac{s}{\sqrt{n} }[/tex]

We have,

s = 22.4 and n = 82

[tex]\rm S_m = \frac{22.4}{\sqrt{82} }[/tex]

[tex]\rm S_m = 2.473[/tex]

Thus, the value of [tex]\mu[/tex] = 29.6, M = 31.9, [tex]\sigma[/tex] = 16 , s = 22.4, [tex]\sigma_m[/tex] = 3.121, and [tex]\rm S_m[/tex] = 2.473.

Learn more about the Margin of error here:

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