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You're given that the forecast for the current period of 70 turned out to be 6 units less than the actual demand. The forecast for the next period is 75.8. What must alpha equal (rounded to 4 decimals) if a simple exponential smoothing forecast method were being used?
Is the gender distribution for theater goers significantly different from the distribution for the general college? Test at the .05 level of significance.
Choose the proper conclusion regarding the claim that the population have different variances.
Evaluate percentage of households in town with one or more cars; attach standard error to be evaluate. If this is no possible, describe why not.
What sample size would be needed to obtain an error of ±10 square millimeters with 99 percent confidence?
For a normal population with u. = 80 and a = 20 which of the following samples is least likely to be obtained?
Explain what these terms mean in describing the distribution of the sales reps' salaries.
36 values given here are based on summary statistics from research by cumming. Do you think that these data are normally distributed?
Calculate the correlation coefficient. What is the coefficient of determination from these sample statistics? What does this coefficient indicate?
The distribution of diastolic blood pressures for the population of female diabetics between the ages of 30 and 34 has an unknown mean μd and a standard deviation σd = 9.1 mm Hg.
How might you go about creating a stronger regression model? For example, you have a multiple regression model with an adjusted R-Square of 0.49, which would explain 49% of the variance of the dependent measure
A pharmaceutical company conducted study to evaluate the effectiveness and safety of new inhaled form of insulin for treatment of diabetes. A group of 650 diabetics was given the drug twice a day, while another group of 650 diabetics was given an ..
Fit a multiple linear regression model for predicting the hospital duration using age, sex, body temperature, white blood cell counts, antibiotic use, blood culture and service
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