Mindtap Business Analytics, 1 Term (6 Months) Printed Access Card For Camm/cochran/fry/ohlmann/anderson/sweeney/williams'  Essentials Of Business Analytics, 2nd
Mindtap Business Analytics, 1 Term (6 Months) Printed Access Card For Camm/cochran/fry/ohlmann/anderson/sweeney/williams' Essentials Of Business Analytics, 2nd
2nd Edition
ISBN: 9781305861794
Author: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher: Cengage Learning
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Chapter 8, Problem 24P

The quarterly sales data (number of copies sold) for a college textbook over the past three years are as follows:

Chapter 8, Problem 24P, The quarterly sales data (number of copies sold) for a college textbook over the past three years

  1. a. Construct a time series plot. What type of pattern exists in the data?
  2. b. Use a regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr1 = l if quarter l, 0 otherwise; Qtr2 = l if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise.
  3. c. Based on the model you developed in part (b), compute the quarterly forecasts for next year.
  4. d. Let t = 1 to refer to the observation in quarter 1 of year 1; t = 2 to refer to the observation in quarter 2 of year 1; …; and t = 12 to refer to the observation in quarter 4 of year 3. Using the dummy variables defined in part (b) and t, develop an equation to account for seasonal effects and any linear trend in the time series.
  5. e. Based upon the seasonal effects in the data and linear trend, compute the quarterly forecasts for next year.
  6. f. Is the model you developed in part (b) or the model you developed in part (d) more effective? Justify your answer.
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Write a Regression summary explaining significance of mode, explaining regression coefficients, significance of the independent variables, R and R square. Premiums earned Net income Dividends Underwriting Gain/ Loss 30.2 1.6 0.6 0.1 47.2 0.6 0.7 -3.6 92.8 8.4 1.8 -1.5 95.4 7.6 2 -4 100.4 6.3 2.2 -8.1 104.9 6.3 2.4 -10.8 113.2 2.2 2.3 -18.2 130.3 3.0 2.4 -21.4 161.9 13.5 2.3 -12.8 182.5 14.9 2.9 -5.9 193.3 11.7 2.9 -7.6
1- Let A = {A1, A2, ...), in which A, A, = 0, when i j. a) Is A a π-system? If not, which element(s) should be added to A to become a π-system? b) Prove that σ(A) consists of the finite or countable unions of elements of A; i.c., A E σ(A) if and only if there exists finite or countable sequence {n} such that A = U₁An (Hint: Let F be such class; prove that F is a σ-filed containing A.) c) Let p ≥ 0 be a sequence of non-negative real numbers with Σip₁ = 1. Using p₁'s, how do you construct a probability measure on σ(A)? (Hint: use extension theorem.) 2- Construct an example for which P(lim sup A,) = 1 and P(lim inf An) = 0.
In a town with 5000 adults, a sample of 50 is selected using SRSWOR and asked their opinion of a proposed municipal project; 30 are found to favor it and 20 oppose it. If, in fact, the adults of the town were equally divided on the proposal, what would be the probability of observing what has been observed? Approximate using the Binomial distribution. Compare this with the exact probability which is 0.0418.

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Mindtap Business Analytics, 1 Term (6 Months) Printed Access Card For Camm/cochran/fry/ohlmann/anderson/sweeney/williams' Essentials Of Business Analytics, 2nd

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