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A company executive has read with interest the finding that the average U.S. office worker receives about 60 e-mails per day. Assume that an executive, wishing to replicate this study within her own corporation, directs information technology personnel to find out the number of e-mails each of a sample of 100 office workers received yesterday, with the results as provided in the data file XR02019. Generate a frequency distribution and histogram describing this information and comment on the extent to which some workers appeared to be receiving an especially high or low number of e-mails.
Source: emailstatcenter.com, June 20, 2009.
The Dean of Students believes that the costs are greater this semester. What is the test value for this hypothesis?
physicians at a clinic gave what they thought were drugs to 940 patients. although the doctors later learned that the
q1test whether the mean time to assemble with the new method is less than that for the old method use t as test
Develop a 99 percent confidence interval for the population proportion.
How many boxes must the processor sample to be 95 percent confident that the sample mean does not differ from the population mean by more than 0.2 pounds?
Variance hour 100 and battery y: sample size 12,mean hour 1020,variance hour 121. can you conclude that two types of batteries are having the same mean life?
Can you conclude that the information in the article is untrue? Use the 0.05 significance level. Determine the p-value and explain its meaning.
Create the corresponding decision tree and make recommendations.
the data below are the final exam scores of 10 randomly selected statistics students and the number of hours they
the average weight of adult men is 181 pounds with a standard deviation of 40 pounds.thirty five 35 men were asked
Let us suppose you have taken 100 samples of size 49 each from normally distributed population. Compute standard deviation of sample means if population's variance is 16. Area to left of ‘z' is 0.9976.
In a large section of statistics class, the points for the final exams are normally distributed with a mean of 72 and a standard deviation of 9. Find the lowest score on the final exam that would qualify a student for an (A, B, C, D)
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