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The amount of time (in minutes) that an executive of a certain firm talks on the telephone is a random variable having the probability density
With reference to part (b) of Exercise 60, find the expected length of one of these telephone conversations that has lasted at least 1 minute.
Exercise 60
(a) Show that the conditional distribution function of the continuous random variable X, given a ? b, is given by
(b) Differentiate the result of part (a) with respect to x to find the conditional probability density of X given a ? b, and show that
What is the probability neither truck is available?
Create a frequency distribution table (class limits, class boundaries, frequencies) and histogram using 7 classes. Calculate the percentile rank for a temperature of 85
A researcher determines that x2= 3.76 to test for significance for a phi correlation coefficient. What was the decision for this phi correlation test?
What are the essential differences between the open frame and the closed frame? Give an example of a shot in Manhattan that employs a closed frame.
How will you separate the effect of advertising on sales?
At the .05 significance level, is the number of units produced on the afternoon shift larger?
question the student population at the state college consists of 55 females and 45 males.a. the college
Find a 95% confidence interval for the difference between this year and last year in the mean number of units sold at all retail stores and interpret the results.
A firm predicts it will use 560,000 gallons of water next year. If the seasonal index of water consumption is 135 for the second quarter of the year, what is the forecast for water consumption during that quarter?
What is the calculated t value? Are the mean test scores of these two groups significantly different at the .05 level?
Consider the accompanying time series. Forecast the demand for each quarter in Year 4 using multiplicative decomposition. Calculate the MAD for this forecast
You are using exponential smoothing to obtain monthly forecasts of the sales of a certain product. The forecast for last month was 2,083, and then the actual sales turned out to be 1,973. Obtain the forecast for next month for each of the followin..
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