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There are 8146 male employees studied from 1946 to 1981. Comparisons were made for causes of death between mortality rates in these workers and U.S. white male mortality rates from 1950 to 1978. There were 17 deaths from cirrhosis of those hired before 1946 and worked for 10 years or more, compared to 6.3 was expected based on U.S. mortality rates.
Perform a significance test to see if there is a relation between mortality and duration of employment in the group hired AFTER 1945 and report a p-value.
Compare these with the percentages specified by Tchebysheff's Theorem.
You are appraising the quality of diamonds for your importer. A diamond without a clear center (opaque center) shall be downgraded and sold at discount.
What is the 95 percent interval for the population mean?
In a normal distribution with mean 3 and variance 49, what are the upper and lower limit scores for the middle 50% of the data?
Professor Brunner had students in his Marketing class rate his performance as Excellent, Good, Fair, or Poor. A graduate student collected the ratings and assured the students that Professor Brunner would not receive them until after the course gr..
For the data giben below, prepare a R-chart. Note that the sample size is three.
Could you please explain in words how you figure out deciles, quartiles, kurtosis, skewness in Excel? How do you find the sum count, largest, and smallest in Excel?
The consequences of the central limit theorem is that if we end up averaging the measurements of a particular quantity, the distribution of an average tends on going toward a normal one?
Calculate the correlation coefficient. What is the coefficient of determination from these sample statistics? What does this coefficient indicate?
At 5% level of significance, is true mean smaller than specification? Clearly mention your hypotheses and decision rule.
Automobile manufacturers are interested in the difference in reaction times for drivers reacting to traditional incadescent lights and to LED lights.
Bill calculates a linear correlation coefficient between two variable as 1.20. How would you interpret this?
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