1. 50 Companies percentages of revenues spent on R&D are given below. 5.2 6.9 7.8 8.8 |10.5 5.6 6.9 7.9 9 10.5 5.9 7.1 8 9.2 |10.6| 6 7.1 8 9.4 11.1 6.5 7.2 8.1 9.5 |11.3 6.5 7.2 8.2 9.5 |11.7 6.5 7.5 8.2 9.6 |12.0 6.6 7.5 8.2 9.7 |13.2| 6.8 7.78.4 9.9 |13.5 6.9 7.7 8.5|10.113.5 Find the following • Mean = Median= Mode= • Range= Variance= • Lower Quartile= Upper Quartile= • Inter Quartile Range= • Standard Deviation= First SD interval, Number of data % of data %3D Second SD interval Number of data = % of data Third SD interval Number of data % of data

1. 50 Companies percentages of revenues spent on R&D are given below. 5.2 6.9 7.8 8.8 |10.5 5.6 6.9 7.9 9 10.5 5.9 7.1 8 9.2 |10.6| 6 7.1 8 9.4 11.1 6.5 7.2 8.1 9.5 |11.3 6.5 7.2 8.2 9.5 |11.7 6.5 7.5 8.2 9.6 |12.0 6.6 7.5 8.2 9.7 |13.2| 6.8 7.78.4 9.9 |13.5 6.9 7.7 8.5|10.113.5 Find the following • Mean = Median= Mode= • Range= Variance= • Lower Quartile= Upper Quartile= • Inter Quartile Range= • Standard Deviation= First SD interval, Number of data % of data %3D Second SD interval Number of data = % of data Third SD interval Number of data % of data

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Description: 1. 50 Companies percentages of revenues spent on R&Dare given below.5.2 6.9 7.8 8.8 |10.55.6 6.9 7.9 9 10.55.9 7.1 8 9.2 |10.6|6 | 7.1 |8 |9.4 |11.16.5 7.2 8.1 9.5 |11.3|6.5 7.2 8.2 9.5 |11.76.5 7.5 8.2 9.6 |12.06.6 7.5 8.2 9.7 |13.26.8 7.78.4 9.9 |

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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A. 3.2 4.7 3.8 4.3 3.5 5.0 4.3 5.2 5.1 4.2 1.8 5.1 5.8 5.0 5.6 4.5 4.8 4.0 2.7 3.8 4.2 4.1 2.7 5.6 6.0 3.9 4.2 3.4 5.5 3.8 5.1 4.6 5.8 4.3 2.5 5.8 4.5 4.9 4.7 4.4 2.4 3.4 4.9 4.3 3.7 4.9 2.7 3.0 4.2 4.0 3.6 3.9 3.1 3.9 5.3 4.4 3.7 3.1 2.8 3.8 1. Construct a frequency distribution table. 2. Determine the interval where K = 10 3. Compute for the mean, median, mode, variance and standard deviation of grouped data. construct a frequency distribution table wherein it compose of : (1)class intervals, (2)frequency (f), (3)class mark (x), (4)lower boundaries, (5)upper boundaries, (6)commulative frequency (cf), (7)squared of fx(fx^2)
Recent BASEBALL Team Payrolls and Wins Team Payroll Wins Boston Red Sox 197.041 93 Cleveland Indians 124.116 102 Los Angeles Angels 166.375 80 New York Yankees 196.39 91 Arizona Diamondbacks 127.829 93 Colorado Rockies 127.829 87 Philadelphia Phillies 100.041 66 San Diego Padres 69.624 71 Detroit Tigers 199.751 64 New York Mets 154.437 70 Seattle Mariners 154.319 78 Chicago Cubs 172.2 92 Atlanta Braves 122.603 72 Milwaukee Brewers 63.061 86 Toronto Blue Jays 163.382 76 Los Angeles Dodgers 241.149 104 Minnesota Twins 108.103 85 St. Louis Cardinals 148.153 83 Oakland Athletics 81.738 75 Texas Rangers 165.348 78 Houston Astros 124.344 101 Washington Nationals 164.335 97 Cincinnati Reds 95.376 68 Chicago White Sox 97.8 67 Miami Marlins 115.406 77 San Francisco Giants 180.823 64 Baltimore Orioles 164.326 75 Kansas City Royals 143.006 80 Pittsburgh Pirates 95.807 75 Tampa Bay Rays 70.065 80 1) If an MLB team spent an additional…
19. 20. 21. 19 10 16
The table shows the annual compensation of 40 randomly chosen CEOS (millions of dollars). 5.54 192.84 84.66 25.86 33.46 1.88 25.31 25.19 25.79 20.28 20.74 7.31 7.45 6.23 13.90 10.15 5.82 15.58 17.40 15.42 12.03 13.03 9.10 8.15 8.94 4.79 3.71 4.56 2.61 2.66 1.22 0.93 1.29 3.95 4.33 4.33 4.61 6.44 4.79 2.06 ? Click here for the Excel Data File (a) Select the correct histogram for the above data. Histogram A Histogram B Histog Histogram 40 Histogram 40 Histo 35 40 35 30 35 30 25 30 25 20 25 20 15 20 15 10 15 10 10 5 5 80 180 100 120 Compensation 180 Compensation Cor Uintanram A Uintacram D Uintaram C Percent 120 09 Percent Percent
30.19
The table shows the annual compensation of 40 randomly chosen CEOs (millions of dollars). 4.73 1.70 28.64 6.45 14.83 6.38 3.20 3.81 193.86 16.17 22.17 8.70 10.12 18.18 1.28 6.53 69.17 18.04 25.64 7.28 8.54 4.83 2.12 6.11 23.56 15.77 19.17 5.57 7.63 4.35 0.75 3.37 30.40 12.78 21.06 7.37 8.34 4.42 1.30 2.01 Click here for the Excel Data File (a) Select the correct histogram for the above data. Histogram A Histogram B Histogram C multiple choice 1 Histogram A Histogram B Histogram C (b) Describe the shape of the histogram. multiple choice 2 The distribution is skewed to the right. The distribution is symmetric. The distribution is skewed to the left. (c) Identify any unusual values. (Round your answers to 2 decimal places.)
A bank with branches located in a commercial district of a city and in a residential area has the business objective of developing an improved process for serving customers during the noon-to-1 P.M. lunch period. Management decides to first study the waiting time in the current process. The waiting time is defined as the number of minutes that elapses from when the customer enters the line until he or she reaches the teller window. Data are collected from a random sample of 15 customers at each branch. Complete parts (a) and (b) below. Click the icon to view the bank branch data. ... .. a. Assuming that the population variances from both banks are not equal, is there evidence of a difference in the mean waiting time between the two branches? (Use a = 0.1.) Let µ, be the mean waiting time of the commercial district branch and u, be the mean waiting time of the residential area branch. Determine the hypotheses. Choose the correct answer below. A. Ho: H1 = H2 H1: H1 # H2 В. Но: М 2 2 H1:…
y 8.0 8.3 X₁ x₂ X₂ X5 19.6 94.9 5.2 29.6 19.8 89.7 5.2 32.4 8.5 19.6 96.2 5.8 31.0 8.8 19.4 95.6 6.4 32.4 2.2 9.0 18.6 86.5 5.8 28.6 2.0 9.3 18.8 84.5 5.2 30.6 2.1 9.3 20.4 88.8 5.6 32.4 2.2 9.5 19.0 85.7 6.0 32.6 21 9.8 20.8 93.6 5.2 32.2 2.3 10.0 19.9 86.0 5.8 31.8 2.1 10.3 18.0 87.1 6.4 32.6 2.0 10.5 20.6 93.1 6.0 33.4 2.1 10.8 20.2 83.4 6.2 31.8 2.2 11.0 20.2 94.5 6.2 32.4 2.1 11.3 19.2 83.4 6.2 31.4 1.9 11.5 17.0 85.2 5.6 33.2 2.1 11.8 19.8 84.1 6.0 35.4 2.0 12.3 18.8 86.9 5.8 34.0 2.1 12.5 18.6 83.0 5.6 34.2 1.9 A. With x₁, x₂, X5 and x, as regressors, fit a multiple linear regression model to the given data. B. Suppose that the regressors are grouped as follows: -Group 1 (B₁): X₁, X4 X5 -Group 2 (B₂): X₂, X3, X6 Test the significance of B₁ at a = 0.05. C. From the model in (A), construct a normal probability plot of residuals (cumulative normal probability or standard normal scores vs. residuals). What can you say from this plot? D. What can you say about any influential…
1. 50 Companies percentages of revenues spent on R&D are given below. 5.2 6.9 7.8 8.8 10.5 5.6 6.9 7.9 9 10.5 5.9 7.1 8 9.2 |10.6 6 | 7.1 | 8 |9.4 |11.1 6.5 7.2 8.1 9.5 |11.3 6.5 7.2 8.2 9.5 |11.7 6.5 7.5 8.2 9.6 |12.0 6.6 7.5 8.2 9.7 |13.2| 6.8 7.78.4 9.9 13.5 6.9 7.7 8.5 10.113.5 Find the following • Mean Median= Mode= • Range= Variance= • Lower Quartile= Upper Quartile= • Inter Quartile Range= • Standard Deviation= First SD interval, Number of data % of data Second SD interval Number of data % of data Third SD interval Number of data % of data
1937 -3.8 1938 3.3 1939 4.6 1940 4.5 1941 5.4 1942 2.9 1943 -0.6 1944 4.1 1945 4.8 1946 4.4 1947 0.5 1948 3.4 1949 -1.4 1950 -6.3 1951 2.5 1952 1.7 1953 5.9 1954 0.5 1955 3.6 1956 3 1957 -1.1 1958 6 1959 3.8 1960 2.7 1961 4.9 1962 2.9 1963 0.7 1964 4.5 1965 2.1 1966 2.9 1967 4.5 1968 3.8 1969 -2.9 1970 3.1 1971 2.2 1972 0.7 1973 2.3 1974 2.6 1975 2.4 1976 4.3 1977 2.3 1978 3.5 1979 0.2 1980 0.5 1981 5.5 1982 1.9 1983 6.3 1984 4.4 1985 1.5 1986 6.1 1987 4.4 1988 3.5 1989 3.5 1990 4.4 1991 1.6 1992 5.8 1993 -0.4 1994 6.3 1995 4.5 1996 2.9 1997 3.9 1998 4.5 1999 5 2000 3.5 2001 5.1 2002 4.2 2003 6.4 2004 4.1 2005 3.7 2006 6.3 2007 3 2008 2.8 2009 2.1 2010 7.2 2011 4.2 2012 3.6 2013 2.8 2014 4.4 2015 5.6 2016 4.7 2017 1.9 2018 5.4 2019 5.8 Find question 12
e_id%3D_2120042_1&group_id%3D&mode%3Dview PROBLEM #2 The table below is a summary of a neighborhood survey. Which of the neighborhoods would you consider the lowest income neighborhood? Explain your answer? TABLE 1 CROWN PROSPECT HEIGHTS, EAST NEW YORK HEIGHTS/ FLATBUSH BED-STUY / BUSHWICK INCOME Count % Count % Count LESS THAN $15,000 45 19.7% 7.8% 11 8.3% $15 000 $24,999 69 30.1% 25 39.1% 38 28.6% $25,000 $34 999 64 27.9% 18 28.1% 40 30.1% $35,000 $44,999 27 11.8% 9.4% 21 15.8% $45.000 OR MORE 24 10.5% 10 15.6% 23 17.3% 1. You must create a new table in MS-Excel to calculate the Midpoints of the Income ranges and calculate the Estimated Weighted Average Income for each of the neighborhoods before you can make a valid decision. 2. For each of the neighborhoods establish a 98% Confidence Interval to estimate the mean income 3. Do you observe any overlaps in the estimated mean incomes between any two neighborhoods? Cance Save Draft Submit 3:59 AM 2Type here to search 6. Rain off and on…
147.4 172.8 193.4 219.4 255.1 260.5 261.1 263.4 324.8 303.2 311.2 324.8 348.8 352.4 352.4 352.4 354.1 368.8 368.9 372.6 373.1 373.4 374.2 380.4 382.8 383.4 389.9 391.2 391.2 394.7 398.2 403.4 408.8 410.7 421.1 424.1 428 440.3 447.7 450.6 460.3 460.3 460.3 475.8 479.4 484.3 489.7 563.6 569 613.8 625.2 637.5 638.3 655.3 665.3 Frequency 1 18 16 14 12 10 8 6 4 2 100 150 200 250 300 350 400 450 500 550 600 650 700 a. Find the minimum for this data set. minimum = 1 = b. Find the first quartile for this data set. Q₁ length (cm) = c. Find the median for this data set. Median = d. Find the third quartile for this data set. Q3 Submit Question e. Find the maximum for this data set. maximum =