Find the 4 yearly moving averages from the following data (1) by centeringthe averages and (i) by centering the totals :Year:1989 | 1990 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998Prodn.(in tonnes) :7585989095108124140150160

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Answered: Find the 4 yearly moving averages from…

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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Please answer all these questions and label, data included: Size($) Rent(sq.feet) 850 1950 1450 2600 1085 2200 1232 2500 718 1950 1485 2700 1136 2650 726 1935 700 1875 956 2150 1100 2400 1285 2650 1985 3300 1369 2800 1175 2400 1225 2450 1245 2100 1259 2700 1150 2200 896 2150 1361 2600 1040 2650 755 2200 1000 1800 1200 2750 10. Based on all of the above questions, what will you conclude about the relationship between house size and rent price? 11. Construct a 95% confidence interval estimate of the population slope, β1. 12. Construct a 95% confidence estimate of the mean renting cost of a house that is 2000 square feet. 13. Construct a 95% prediction interval of the renting cost of an individual house that is 2000 square feet.
H.W: Find divided differences tables for the following data: 1. (1.6,0.625), (2.9,0.3448), (3.7,0.2703), (4.8,0.2083) 2. (6,0.1506), (7,0.3001), (7.5,0.2663), (7.7,0.2346)
The semi-averages of the below given data are: Year Rainfall 1999 21 2000 11 2001 14 2002 16 2003 18
Find the Range from the following data series. 256, 258, 225, 296, 284, 276, 226, 235, 297, 257 a. 70 b. 75 c. 73 d. 72
Give an interpretation for the following data.
From the data given below, calculate the gross and net reproduction rates : Age Group Female Population (in thousands) Female Live-births Survival Factor 15-19 1,399 15,133 0.9694 20-24 1,422 94,155 0.9663 25-29 1,521 102,676 0.9632 30-34 1,756 72,490 0.9584 35-39 1,451 31,402 0.9519 40-44 1,689 10,640 0.9424 45-49 1,667 700 0.9279
What is the zscore for: data= 31 mean =39 Sx= 3.7 O 2.16 O -2.16 О 3.7 O -3.7
Calculate the cancer specific mortality rate (per 1000):[ Use the data in the table below to calculate the following vital statistics. Vital statistics Total midyear population Number of live births Total deaths (all causes) 4250 Deaths in infants under 1 year of age Deaths due to cancer 100 0.02 O 20 O 0.2 02 5,000,000 5000
Given the attached data. Answer the following questions for a 7 period moving average. t At 1 5477 2 3338 3 4799 4 2852 5 6332 6 8385 7 4382 8 4184 9 14229 10 10385 11 11676 12 5271 13 8938 14 9279 15 13990 16 2890 17 13027 18 8970 19 6700 20 7065 21 12491 22 8748 23 8396 24 6102 25 7559 26 7997 27 11981 28 10680 29 5783 30 2501 31 7620 32 10194 33 7908 34 11985 35 5863 36 3024 37 8758 38 1640 39 6569 40 11728 41 6659 42 2830 43 10018 44 8448 45 12409 46 2083 47 6374 48 7438 49 4576 50 4795 2. Compute the MAD value for period 50. The potential answers are: A: 3760.99 units. B: 3999.02 units. C: 2847.49 units. D: 2655.35 units. E: 3753.86 units.
Please answer all 4
The National Hurricane Center provides data that list the number of large (category 3, 4, or 5) hurricanes that have struck the United States, by decade, from 1851-2020. Is there sufficient evidence that the number of large hurricanes have remained constant (per decade)? What are the degrees of freedom? Decade Count Decade Count 1851-1860 6 1941-1950 10 1861-1870 1 1951-1960 8 1871-1880 7 1961-1970 6 1881-1890 5 1971-1980 4 1891-1900 8 1981-1990 5 1901-1910 4 1991-2000 5 1911-1920 7 2001-2010 8 1921-1930 5 2011-2020 10 1931-1940 8 Chi-squared test for given probabilitiesdata: stormsX-squared = 13.589, df = 16, p-value = 0.6293 A. 107 B. 17 C. 13.589 D. 16
H.W: Find forward and backward differences tables for the following data: 1. (1,0), (2,5), (3,22), (4,57), (5,116) 2. (10,0.9848), (20,0.9397), (30,0.866), (40,0.766), (50,0.6427) 3. (1,0), (1.5,0.176), (2,0.301), (2.5,0.398), (3,0.477), (3.5,0.544)

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Find the 4 yearly moving averages from the following data (1) by centering the averages and (i) by centering the totals : Year: 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 Prodn. (in tonnes) : 75 85 98 90 95 108 124 140 150 160