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A sample of 65 observations is taken from population A. The sample mean is 2.67 and the sample standard deviation is 0.75.
A sample of 50 observations is taken from population B. The sample mean is 2.59 and the sample standard deviation is 0.66.
Conduct a hypothesis test to test that the population mean for population A is no greater than the population mean for B. Use the 0.08 significance level.
When finding percentiles, if locator L is not whole number, one procedure is to interpolate so that locator of 23.75, for instance.
Fit a least squares trend line to the merger data. What type of trend (linear or curved) might best fit to this time series? Compute the forecast for year 20 based on the trend (linear or curved) that best fits the data?
Given the following situation, how would you use Megastat to test whether the population defective rate is greater than 5%? Please outline the process for the test and, if necessary, including the output from Megastat to explain your approach.
Last week Sarah had exams in Math and in Spanish. On the math exam, the mean was m = 40 with s = 5, and Sarah had a score of X = 45. On the Spanish exam, the mean was m = 60 with s = 8 and Sarah had a score of X = 68. For which class should Sara e..
The breaking strengths of cables produced by a certain manufacturer have a standard deviation of 96 pounds. A random sample of 50 newly manufactured cables has a mean breaking strength of 1950 pounds.
A farm brings 15 tons of watermelon to market. Find a 90% confidence interval for the population mean cash value of this crop. What is the margin of error?
A dataset has 1000 records and 50 variables with 5% of the values missing, spread randomly throughout the records and variables. An analysis decides to remove records that have missing values. About how many records would you expect would be remov..
For a sample of 20 stations last Tuesday the correlation was .78. At the .01 significance level is the correlation in the population greater than 0? t= .78-20.00/.01SQRT 20=?
How large a sample is needed in order to be 98% confident that the sample proportion will not differ from the true proportion by more than 6%?
The student body of a large university consists of 70% female students. A random sample of 6 students is selected. What is the probability that among the students in the sample exactly three are female?
At the .01 significance level, is there a difference in the mean number of times men and women order take-out dinners in a month? What is the p-value?
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?
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