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The hourly wages in a particular industry are approximately normally distributed with mean $15.00 and a standard deviation of $2.00. A company in this industry employs 49 workers, paying them an average of $13.00 per hour. Can this company be accused of paying substandard wages (wages significantly below the average)? Run an appropriate hypothesis test and compute the level of significance.
A real estate broker hoped to develop an equation that could be used to predict the sales price of homes in a certain suburb. It seemed to him that the most important variable
Consider the following statement and discuss its implications. 'It is possible for a statistically significant result to be of no particular practical significance, depending on the context of the analysis.'
some nurses in county public health conducted a survey of woen who had received inadequate preatal care. they used
two pain relief drugs are being considered. a random sample of 8 doses of the first drug showed that the average amount
R1 signifies the first Poisson event time after m (or 1 if there are no Poisson events in [m,1]), then it would be learned that marked position lies between L1 and R1.
A survey of random sample of people leaving an amusement park showed an average expenditure number 10.30k for the evening.
Given that X1 is in the model, does X2 contribute to predicting the dependent variable at the .05 significance level?
Standard deviation of sample was $3.53. Determine point estimate of population mean. Determine the 95% confidence interval of population mean. Suppose the variable is normally distributed.
the monthly starting salaries of students who receive an mba degree have a population standard deviation of 110. what
Using the z table in Table E of Appendix C, determine the critical value for the hightailed test with a = 0.035.
suppose that you have 200000 to invest in stocks. if you invest 1000 in any particular stock your prot will be equal in
A population is Normally distributed and has a σ = 24. Samples of size 25 have a sample mean of 100. Find the 90% confidence interval for the population mean.
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