The psychologist can be 95% confident that the interval from to includes the unknown population mean p. Normally the psychologist will not know the value of the population mean. But consider the (unrealistic) scenario that a census of legal professionals is conducted. The census reveals that the population mean is u = 3.3. How would the psychologist most likely react to the news? The psychologist would not be surprised that µ = 3.3, because that value is outside the confidence interval. O The psychologist would be surprised that µ = 3.3, because that value is inside the confidence interval. O The psychologist would be surprised that µ = 3.3, because that value is outside the confidence interval. O The psychologist would not be surprised that p = 3.3, because that value is inside the confidence interval.

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The psychologist can be 95% confident that the interval from
to
includes the unknown population
mean p.
Normally the psychologist will not know the value of the population mean. But consider the (unrealistic) scenario that
a census of legal professionals is conducted. The census reveals that the population mean is u = 3.3.
How would the psychologist most likely react to the news?
The psychologist would not be surprised that µ = 3.3, because that value is outside the confidence interval.
O The psychologist would be surprised that µ
3.3, because that value is inside the confidence interval.
The psychologist would be surprised that u
3.3, because that value is outside the confidence interval.
The psychologist would not be surprised that u = 3.3, because that value is inside the confidence interval.
Transcribed Image Text:The psychologist can be 95% confident that the interval from to includes the unknown population mean p. Normally the psychologist will not know the value of the population mean. But consider the (unrealistic) scenario that a census of legal professionals is conducted. The census reveals that the population mean is u = 3.3. How would the psychologist most likely react to the news? The psychologist would not be surprised that µ = 3.3, because that value is outside the confidence interval. O The psychologist would be surprised that µ 3.3, because that value is inside the confidence interval. The psychologist would be surprised that u 3.3, because that value is outside the confidence interval. The psychologist would not be surprised that u = 3.3, because that value is inside the confidence interval.
9. A confidence interval for estimating the mean
Aa
Aa
An industrial/organizational psychologist wants to improve worker productivity for a client firm, but first he needs to
gain a better understanding of the life of the typical white-collar professional. Fortunately, he has access to the 2008
Workplace Productivity Survey, commissioned by LexisNexis and prepared by WorldOne Research, which surveyed a
sample of 650 white-collar professionals (250 legal professionals and 400 other professionals).
One of the survey questions was, "During the average workday, how many hours do you spend attending meetings?"
For the subsample of legal professionals (n = 250), the mean response was M = 2.0 hours, with a sample standard
deviation of s = 4.2 hours.
The estimated standard error is sM =
Jse the following Distributions tool to develop a 95% confidence interval estimate of the mean number of hours legal
professionals spend attending meetings during a typical workday.
Transcribed Image Text:9. A confidence interval for estimating the mean Aa Aa An industrial/organizational psychologist wants to improve worker productivity for a client firm, but first he needs to gain a better understanding of the life of the typical white-collar professional. Fortunately, he has access to the 2008 Workplace Productivity Survey, commissioned by LexisNexis and prepared by WorldOne Research, which surveyed a sample of 650 white-collar professionals (250 legal professionals and 400 other professionals). One of the survey questions was, "During the average workday, how many hours do you spend attending meetings?" For the subsample of legal professionals (n = 250), the mean response was M = 2.0 hours, with a sample standard deviation of s = 4.2 hours. The estimated standard error is sM = Jse the following Distributions tool to develop a 95% confidence interval estimate of the mean number of hours legal professionals spend attending meetings during a typical workday.
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