Statistical Techniques in Business and Economics
18th Edition
ISBN: 9781260579611
Author: Douglas Lind; William Marchal; Samuel Wathen
Publisher: MCGRAW-HILL HIGHER EDUCATION
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Chapter 18, Problem 1.7PT
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Fill in the blank with an appropriate word in the given statement.
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In the theory of time series, earthquakes can be considered as
a.
Seasonal Variation
b.
Cyclical Variation
c.
Irregular Variations
d.
Secular Trend
Q.13
Describe models of a time series.
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In time series, seasonal variations can occur within a period of:
A. Three years
B. One year
O C. Nine years
D. Four years
Chapter 18 Solutions
Statistical Techniques in Business and Economics
Ch. 18 - Prob. 1ECh. 18 - Prob. 2ECh. 18 - Prob. 3ECh. 18 - Prob. 4ECh. 18 - Prob. 1SRCh. 18 - Prob. 5ECh. 18 - Prob. 6ECh. 18 - Prob. 7ECh. 18 - Prob. 8ECh. 18 - Prob. 2SR
Ch. 18 - Prob. 9ECh. 18 - Prob. 10ECh. 18 - Prob. 11ECh. 18 - Prob. 12ECh. 18 - Prob. 3SRCh. 18 - Prob. 13ECh. 18 - Prob. 14ECh. 18 - Prob. 15ECh. 18 - Prob. 16ECh. 18 - Prob. 17ECh. 18 - Prob. 18ECh. 18 - Prob. 4SRCh. 18 - Prob. 19ECh. 18 - Prob. 20ECh. 18 - Prob. 21ECh. 18 - Prob. 22ECh. 18 - Prob. 23CECh. 18 - Prob. 24CECh. 18 - Prob. 25CECh. 18 - Prob. 26CECh. 18 - Prob. 27CECh. 18 - Prob. 28CECh. 18 - Prob. 29CECh. 18 - Prob. 30CECh. 18 - Prob. 31CECh. 18 - Prob. 32CECh. 18 - Prob. 33CECh. 18 - Prob. 34CECh. 18 - Prob. 35CECh. 18 - Prob. 1PCh. 18 - Prob. 2PCh. 18 - Prob. 3PCh. 18 - Prob. 1.1PTCh. 18 - Prob. 1.2PTCh. 18 - Prob. 1.3PTCh. 18 - Prob. 1.4PTCh. 18 - Prob. 1.5PTCh. 18 - Prob. 1.6PTCh. 18 - Prob. 1.7PTCh. 18 - Prob. 1.8PTCh. 18 - Prob. 1.9PTCh. 18 - Prob. 1.10PTCh. 18 - Prob. 2.1PTCh. 18 - Prob. 2.2PTCh. 18 - Prob. 2.3PT
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- With what kind of exponential model would doubling time be associated? What role does doubling time play in these models?arrow_forwardQ20arrow_forwardThe figure below is a time-series graph showing overall death rates (from all causes) in a country for 1900 to 2015. The spike in 1919 was due to a worldwide epidemic of influenza. Write a few sentences summarizing the overall trend, describing how much the death rate changed over this period of time and putting the 1919 spike into context in terms of its impact on the population. Death Rate per 1000 Population 20 15 10 5 L ul lu luulu l luulul 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 2020 Year Choose the correct answer below. O A. The death rates have increased by about 30% since the 1920s. The death rate during the influenza epidemic was about half of its current rate. O B. The death rates have decreased by about 50% since the 1920s. The death rate during the influenza epidemic was over four times its current rate. C. The death rates have decreased by about 50% since the 1920s. The death rate during the influenza epidemic was about half of its current rate. O D.…arrow_forward
- Q. 27 What are thẹ various methods available for computing seasonal variations in time series ?arrow_forwardThe component of a time series attached to long term variations is termed as O a. Secular trend O b. Seasonal trend O c. Cyclic variation O d. Random variationarrow_forwardQuestion 2: Find the trend for the time series using moving average method. Forecast for Year 4 quarter 4 Year Sales (000's) Quarter 1 Quarter 2 Quarter 3 Quarter 4 1 25 42 55 36 16 50 53 40 28 58 69 59 2N 3.arrow_forward
- For each data series, (you can creat graph with year on x axis and data series on y axis to visually see if it appear stationary or not) carefully describe what appears to be happening over the period from 1982 to 2022, and why you think it is happening. Base your answer upon your knowledge of statistics and agriculture, along with common sense. If you are not entirely sure what is happening. In some cases what is happening in one graph may affect what you see in another. Dataset: Year Spring wheat seeded acreage Wheat cost of production ($/acre) Spring wheat yield (bushels/acre) Spring wheat production (bu per acre) Wheat price ($/ tonne) Canola production (tonnes) Canola price ($/ tonne) Canola Seeded acreage 1982 4,000,000 167.9 34 136,000 165 399,200 260 850,000 1983 4,600,000 153.3 27.2 125,300 174 397,000 383 950,000 1984 4,450,000 171.4 30.9 137,500 172 544,000 351 1,200,000 1985 4,850,000 166.6 39.6 192,000 156 635,000 263 1,000,000 1986 4,940,000 164.3 33.2…arrow_forwardQ. 14 Explain the Graphic method of trend estimation in a time series and give its merits and demerits.arrow_forwardQuestion 1: Find the trend for the time series using moving average method. Forecast Week 4 Wednesday Week Absence due to sickness Monday Tuesday Wednesday Thursday Friday 7 8 11 18 3 8 10 13 21 6. 13 17 28 2. 3,arrow_forward
- Q.2. What is the use of differencing in a time series? Also, explain the importance of stationarity.arrow_forwardAn article in Quality Engineering presents viscosity data from a batch chemical process. A sample of these data is in the table. Reading left to right and up to down, draw a time series plot of all the data and comment on any features of the data that are revealed by this plot. Consider that the first 40 observations (the first 4 columns) were generated from a specific process, whereas the last 40 observations were generated from a different process. Does the plot indicate that the two processes generate similar results? Calculate the sample mean and sample variance of the first 40 and the second 40 observations.arrow_forwardRecurrent upward and downward movements in a time series are called_________________. a. Secular Trend b. Irregular Variations c. Cyclical Variations d. Seasonal Variationsarrow_forward
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