An industrial/organizational psychologist wants to improve worker productivity for a client firm, but first she needs to

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An industrial/organizational psychologist wants to improveworker productivity for a client firm, but first she needs to gaina better understanding of the life of the typical white-collarprofessional. Fortunately, she has access to the 2008 WorkplaceProductivity Survey, commissioned by LexisNexis and prepared byWorldOne Research, which surveyed a sample of 650 white-collarprofessionals (250 legal professionals and 400 otherprofessionals).
One of the survey questions was, “How many work-related emailsdo you receive during a typical workday?” For the subsample oflegal professionals (n = 250), the mean response was M = 36.7emails, with a sample standard deviation of s = 24.3 emails.
The estimated standard error is sMM = .
Use the following Distributions tool to develop a 95% confidenceinterval estimate of the mean number of work-related emails legalprofessionals receive during a typical workday.
0123Standard Normalt DistributionSelect a Distribution
The psychologist can be 95% confident that the intervalfrom to includes the unknownpopulation mean µ.
Normally the psychologist will not know the value of thepopulation mean. But consider the (unrealistic) scenario that acensus of legal professionals is conducted. The census reveals thatthe population mean is μ = 41.2.
How would the psychologist most likely react to the news?
The psychologist would not be surprised that μ = 41.2, becausethat value is outside the confidence interval.
The psychologist would be surprised that μ = 41.2, because thatvalue is outside the confidence interval.
The psychologist would not be surprised that μ = 41.2, becausethat value is inside the confidence interval.
The psychologist would be surprised that μ = 41.2, because thatvalue is inside the confidence interval.