SymbolCompanyPrice ($)YieldAT&T33.595.48%VZVerizon46.784.70%CVXChevron112.183.82%MCDMcDonald's93.703.63%PFEPfizer31.153.60%GEGeneral Electric25.273.48%MRKMerck56.793.17%САТCaterpillar91.533.06%ХомExxonMobil92.452.99%коСоса-Cola42.222.89%If you selected two of these stocks at random, what is the probability that both the stocks in your selection had yields of 3.25% or more? (Enter your probability as a fraction.)Enter a fraction, integer, or exact decimal. Do not approximate.

The data shows stocks with prices and yield.

Answered: Symbol Company Price ($) Yield AT&T…

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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If the base of a deareased by 25% but the altituda is Tucveased by lo%, by what % is the avea chaned ? Refer to vectaugle is Saction 8.1 Eeaple2
Amount 20.50 14.63 23.77 29.96 29.49 32.70 9.20 20.89 28.87 15.78 18.16 12.16 11.22 16.43 17.66 9.59 18.89 19.88 23.11 20.11 20.34 20.08 30.36 21.79 21.18 19.22 34.13 27.49 36.55 18.37 32.27 12.63 25.53 27.71 33.81 21.79 19.16 26.35 20.01 26.85 13.63 17.22 13.17 20.12 22.11 22.47 20.36 35.47 11.85 17.88 6.83 30.99 14.62 18.38 26.85 25.10 27.55 25.87 14.37 15.61 26.46 24.24 16.66 20.85
Miles (1000s) Price ($1000s) 116.53 25.6 100.27 22.2 29.93 43.3 25.47 27.6 49.96 36.2 83.68 29.8 62.53 24.3 85.54 32.8 27.93 35.0 89.31 23.6 59.89 25.5 17.87 23.6 20.35 29.2 116.65 24.7 63.18 25.0 30.54 37.8 51.36 19.6 34.83 46.2 93.06 27.1 116.49 17.7 68.08 22.5 29.90 26.6 39.98 25.6 98.06 22.2 44.43 26.0 22.90 39.9 52.13 32.3 57.72 21.8 67.89 23.6 61.77 36.4 46.90 24.6 57.89 21.4 94.41 21.4 50.73 22.2 41.88 22.5 110.06 27.0 22.25 40.2 57.00 26.7 15.73 26.8 99.87 22.9 98.30 30.2 90.12 15.3 31.55 32.5 30.47 30.6 33.28 36.0 52.94 18.1 17.60 29.6 88.29 38.4 90.98 23.8 75.39 25.0 28.20 22.3 102.03 30.3 28.38 31.4 45.44 36.3 44.82 37.2 74.81 26.3 33.22 40.9 29.30 29.1 17.73 35.9 53.33 31.7 31.54 44.5 30.83 43.4 51.38 41.0 53.26 32.2 15.61 32.3 101.39 24.6 77.04 26.8 86.47 20.5 119.18 19.3 35.96 33.6 99.38 27.1 103.17 33.2 37.72 25.4 75.59 21.2…
Crude Oil Refiner Acquisition costs (Dollars per Barrel) Date Domestic Imported Composite 940101 12.55 12.81 12.69 940201 13.18 12.91 13.04 940301 13.09 13.15 13.12 940401 14.66 14.46 14.55 940501 15.57 15.65 15.61 940601 17.23 17.08 17.15 940701 17.51 17.93 17.73 940801 17.06 17.08 17.07 940901 16.32 15.89 16.09 941001 16.21 16.40 16.30 941101 16.49 16.54 16.51 941201 16.10 15.76 15.95 950101 16.37 16.62 16.49 950201 16.98 17.25 17.11 950301 17.21 17.24 17.23 950401 18.08 18.84 18.43 950501 18.57 18.49 18.53 950601 17.84 17.40 17.62 950701 16.78 16.45 16.62 950801 16.89 16.54 16.72 950901 16.96 16.73 16.85 951001 16.72 16.34 16.53 951101 16.61 16.53 16.57 951201 17.31 17.61 17.46 960101 17.85 17.55 17.70 960201 18.04 17.70 17.88 960301 19.49 19.81 19.64 960401 21.77 21.05 21.44 960501 21.09 20.00 20.51 960601 18.93 18.83 18.87
Monthly Sales 6267.19 7058.06 7119.5 7147.18 7198.52 7298.09 7325.7 7335.68 7355.97 7481.05 7490.23 7530.08 7616.09 7682.69 7684.14 7704.12 7704.98 7779.28 7798.23 7815.15 7844.16 7890.21 7977.6 7993.16 8021.03 8028.37 8068.86 8082.42 8096.17 8119.25 8129.21 8190.68 8255.28 8282.44 8376.31 8392.4 8400.95 8451.16 8456.66 8505.35 8539.25 8543.65 8573.05 8641.78 8667.48 8751.08 8777.97 8800.08 8888.65 8907.03 9096.87 9241.74 9411.68 9450.73 9484.62 9514.57 9521.4 9524.91 9733.44 10123.24 Given the company’s performance record and based on the empirical rule of normal distribution (also known as the 68%-95%-99.7% rule), what would be the lower bound of the range of sales values that contains 68% of the monthly sales? What would be the upper bound of the range of sales values that contains 68% of the monthly sales?
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how to calculate the residual value? Service Subscriptions Web Page Hits Adv Price 1 37.95 588.9 13.2 35.1 2 37.66 585.3 13.2 34.7 3 37.55 566.3 19.8 34.8 4 38.78 642.9 17.6 35.1 5 37.67 624.2 17.6 34.6 6 38.23 603.9 15.4 34.8 7 36.9 571.9 11 34.7 8 38.28 584.3 28.6 35.3 9 38.95 605 28.6 35.1 10 39.27 676.3 17.6 35.6 11 38.3 587.4 17.6 34.9 12 38.84 576.4 22 35.4 13 38.14 570.8 17.6 35 14 38.39 586.5 15.4 35.5 15 37.29 544 11 34.9 16 39.15 611.1 24.2 35 17 38.29 643.3 17.6 35.3 18 38.09 635.6 19.8 34.8 19 37.83 598.9 15.4 35.1 20 39.37 657 22 35.3 21 37.81 595.2 15.4 35.1 22 37.42 520 19.8 35.1 23 38.83 629.6 22 35.3 24 38.33 680 24.2 34.7 25 40.24 651.2 33 35.8
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3.59 3.59 4.79 3.56 3.55 3.71 3.65 3.6 3.75 3.56 3.57 3.59 3.55 3.99 4.15 3.66 3.63 3.73 3.61 3.57 1. Until five months ago, suppose the average weekly gas price had remained stable around $3.55, but a shock to supply seemed to push prices higher thereafter. Let’s test whether this is so using our data. 2. Develop the H0 and Ha hypotheses. Is it a lower-, upper-, or two-tailed test? ii. Let α = .05. What probability does α represent? 3. Assume σ = 0.30 and compute the test statistic.
Use the data from the following four stocks to answer the questions below: Yields Year TLS DI PFE WMT 20x5 12.00% 4.50% 5.80% 11.30% 20x6 13.30% 5.30% 5.70% 9.00% 20x7 10.20% 3.10% 5.90% 13.90% 20x8 9.30% 2.70% 4.50% 14.80% 20x9 8.60% 1.90% 6.30% 15.00% a. Classify the correlations between each pair of stocks as positive correlation (PC), perfectly positive correlation (PPC), negative correlation (NC), perfectly negative correlation (PNC), and no correlation (NC): TLS – DI ___________ DI – PFE __________ TLS – PFE __________ DI – WMT _________ TLS – WMT _________ PFE – WMT _________
10 The observed insurance policy deviates from the predicted policy, on average, by _______ ($1,000) a 44.465 b 49.406 c 54.895 d 60.994

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