40. Compute the seasonal averages, seasona! variations and seasonal indicesfor the following time series.201520162017Jan.152325Feb.162225March182835AprilMayJune18273623003136000.88232830JulyAug.Sept.20223028283429323847Oct.3337Nov.3334ST41Dec.384453

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Answered: 40. Compute the seasonal averages,…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Assuming that trend is absent, determine the seasonality, it any in the data given below Year 1st quarter 2nd quarter 3rd quarter 4th quarter 2006 172 168 180 170 2007 176 170 190 174 2008 174 166 ,300 180 2009 176 174 200 178 2010 178 174 250 182
The following table gives profits (in ten thousands of shillings) of two supermarkets over a duration of one year. Determine which supermarket has a greater variability of its profits.
boo mean (Continuous series) From the following data compute the value of the harmonic 08 Class interval : 50-60 10-20 20-30 30-40 40-50 aiM Frequency 4 10 7 :
48. From the data given below, calculate seasonal indices for I, II, III and IV quarters assuming the trend is absent : Quarter Year 2014 2015 2016 2017 2013 41 45 44 40 42 35 36 38 35 37 II 38 36 38 38 39 II 40 41 42 IV 40 38
Barrow, Alaska 40 33.6 33.3 29.7 30 27.0 20 14.4 8.8 10 10 --6.9 -9.1 20 -17.2 19.3 -21.1 -23.7 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Month Data from National Climatic Data Center Record the monthly increases and decreases in the low temperature from the previous month. Monthly Increase or Decrease (from the previous month) Month February March April May June Average Daily Low Temperature (in degrees Fahrenheit)
Frequency 344.7 389.1 394.3 411.8 412.1 431.9 433.5 445 447.4 452.3 465.4 466 469.2 469.2 469.2 469.8 470.6 471.7 471.8 474.9 483 483.1 485 490.4 494.8 495.8 496.8 496.8 500 506.8 512.5 516.6 520.1 520.4 524.8 534.8 545.3 547.4 558.1 556.4 558.1 558.1 580.6 564.4 572.4 577.4 585 586.2 587.8 588.2 593.8 606.1 607.8 611.4 = 18 16 14 12 10 8 6 4 2 300 350 400 450 500 Find the first quartile for this data set. Q₁ length (cm) = 550 600 650 Find the third quartile for this data set. Q3² = Find the interquartile range for this data set. IQR = = Find the lower fence separating outliers from usual values. Fence Low Find the upper fence separating outliers from usual values. Fence high
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1.37 Fur seals on St. Paul Island. Every year, hundreds of thou- sands of northern fur seals return to their haul-outs in the Pribilof Islands in Alaska to breed, give birth, and teach their pups to swim, hunt, and survive in the Bering Sea. U.S. commercial fur sealing operations continued on St. Paul until 1984, but despite a reduction in harvest, the population of fur seals has continued to decline. Possible reasons include climate shifts in the North Pacific, chang- es in the availability of prey, and new or increased interac- tion with commercial fisheries that increase mortality. Here are data on the estimated number of fur seal pups born on St. Paul Island (in thousands) from 1979 to 2014, where a dash indicates a year in which no data were collected:28 FURSEALS Arco Images GmbH/Alamy
Listed below are sorted duration times (seconds) of eruptions of the Old Faithful geyser in Yellowstone National Park. Use these times to construct a table with frequency and cumulative distributions, as well as relative and cumulative relative distributions. Use a class width of 25 seconds and begin with a lower-class limit of 125 seconds. 125 203 205 221 225 229 233 233 235 236 236 237 238 238 239 240 240 240 240 241 241 242 242 242 243 243 244 245 245 245 245 246 246 248 248 248 249 249 250 251 252 253 253 255 255 256 257 258 262 264 Time (Seconds) Frequency Cumulative Frequency Relative Freq (%) Relative Cumulative (%) 1. What can you conclude from the table above? 2. Is Old Faithful, still consistent (faithful)? 3. Draw the frequency distribution for the data. 4. What type of distribution do you see?
The accompanying data file shows the annual returns (in %) for a mutual fund focusing on investments in Latin America and a mutual fund focusing on investments in Canada over the past 25 years. Click here for the Excel Data File a. Which fund had the higher reward over this time period? since it has the b. Which fund was riskier over this time period? since it has the c-1. Given a risk-free rate of 2%, calculate the Sharpe ratio for each fund. What does this ratio imply? Note: Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places. Sharpe ratio for Latin America Sharpe ratio for Canada c-2. Over this time period, the Sharpe ratio implies that the: O Latin America fund had a higher reward per unit of risk. O Canada fund had a higher reward per unit of risk. O Latin America fund had the higher relative dispersion. ○ Canada fund had the lower relative dispersion.

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