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Compute the exponential and adjusted exponential smoothing forecast and linear trend forecasting. Compare it by MAD and E.The Bayside Fountain Hotel is adjacent to County Coliseum, a 24,000-seat arena that is home to the city's professional basketball team and ice hockey teams that hosts a variety of concerts, trade shows, and conventions throughout the year. The hotel has experienced the following occupancy rates for the past 9 years, since the coliseum opened:
Year Occupancy Rate (%)1 832 783 754 815 866 857 898 909 86
Compute an exponential smoothing forecast with a=.20, an adjusted exponential smoothing forecast with a=.20 and b=.20, and a linear trend forecast. Compare the three forecasts, using MAD and average error (E), and indicate which seems to be most accurate.
By using significance level a = .05, and suppose a normal distribution what does evidence conclude?
Events A and B are mutually exclusive events defined on common sample space. If P (A) 0.5 and P (A or B) = 0.70, determine P (B).
Can you conclude that the information in the article is untrue? Use the 0.05 significance level. Determine the p-value and explain its meaning.
The weights (in pounds) of a sample of five boxes being sent by UPS are: 12, 6, 7, 3, and 10.
In exercise identify (a) sample and (b) population. Also, find whether sample is likely to be representative of population.
Let X be the number of correct guesses by your friend in the 100 trials and Use the Normal approximation with the continuity correction - Which of the following might be reasonably modeled by the binomial distribution
You play a game with two possible outcomes. Outcome A has probability 0.4 and outcome B has probability 0.6. When B occurs you win $2.00; otherwise, you lose $1.00. What is your expected value for this game?
What kind of statistical test best did you use?
Make a forecast for 2004, using either the fitted trend model or a judgment forecast. Why is it best to ignore earlier years in this data set?
Write the null and alternative hypotheses you would use to test the following situation.
Find out sample correlation coefficients of (I) age with dry weight, and (2) age with log 10 dry weight. Interpret your results.
Using What's Best! (Or solver) find the least-cost matrix.
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