The companies of a county are summarized according to their patent applications and revenues inthe following way:Patent Applicatons RevenuesMore than 500,000€0-5 Applications687192131More than 5 applicationsCalculate a suitable measure of association that is normalized to the interval [0; 1].0-250,000€ 250,000€ 500,000€34181

Given data: Patent Application\ Revenues 0-250,000€ 250,000€-500,000€ More than 500,000€ 0-5…

Answered: The companies of a county are…

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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The following table shows the price (in RM) and quantity (in kg) of four different items bought by 'Aleesya Coffee House' from 2008 to 2011: 2009 2011 Items Price Quantity (kg) Quantity (kg) Price (RM) (RM) Rice 8.20 210 9.15 280 Wheat 2.30 120 2.20 95 Sugar 1.30 550 1.65 550 Coffee 0.85 58 1.00 65 Calculate the Simple Average Quantity Index in 2011 compare to 2009 Select one: a. 122.53 b. 106.14 c. 113.75 d. 123.55
ata Set 12 “Passive and Active Smoke” in Appendix B includes cotinine levels measured in a group of nonsmokers exposed to tobacco smoke (n = 40, Mean = 60.58 ng>mL, s = 138.08 ng>mL) and a group of nonsmokers not exposed to tobacco smoke (n = 40, Mean = 16.35 ng>mL, s = 62.53 ng>mL). Cotinine is a metabolite of nicotine, meaning that when nicotine is absorbed by the body, cotinine is produced. Use a 0.05 significance level to test the claim that nonsmokers exposed to tobacco smoke have a higher mean cotinine level than nonsmokers not exposed to tobacco smoke. 1. Find the degrees of freedom using the conversative estimate formula. What is it? 2. Find the critical value. What is it? 3. Sketch a normal distribution curve and highlight the region of significance.
Use the following data to answer question 8 - 12. A number of studies have claimed evidence that the first-born in a family is, on the whole, more likely to be "successful" than later-borns. A study along this direction compared the IQs of a random sample of 80 first-borns with those of an independent random sample of 105 later-borns. The data are summarized below: Sample size Sample mean Sample SD First-borns 80 112 7.2 Later-borns 105 108 8.0
=48 New Bank (NB) believes that there is a relationship between the kilometres (KM) travelled by its customers and the charges on their credit cards (CC). The bank collected the data given in Table NB Table NB Dollars (US$'00) 18 Kilometres ('00) 12 24 13 20 14 25 17 23 18 23 20 30 21 34 22 31 24 37 24 If a credit card holder should spend US$2.300 on a business trip, how many kilometres would you expect her to travel (to the nearest whole number)? Select one: O a 3,483 O b 1.583 OC. 950 od. 850 11:10 AM 85°F a Q) ENG 12/16/2021 hp EliteBook 8470p Ftay postitve insert pause break scroll 16 D f7 f8 f9 O f10 3 f11 f12 prt sc wm
5. Oxygen demand is a term blologists use to describe the axygen needed by fish and other aquatic organisms for survval. The Environmental Protection Agency conducted a study of a wetland area in Marin County, Californla. In this wetland environment, the mean oxygen demand was u=9.9 mg/L, and a= 1.7 mg/L. (Reference: EPA Report 832-R- 93- 005). Let x be a random varlable that represents oxygen demand in this wetland environment. Assume x has a probability distribution that is approximately normal. a. An oxygen demand below 8 mg/L Indicates that some organisms In the wetland environment may be dying. What is the probability that the oxygen demand will fall below 8 mg/L? b. A high oxygen demand can also indicate trouble. An oxygen demand above 12 mg/L may indicate an overabundance of organisms that endanger some types of plant life. What is the probability that the oxygen demand will exceed 12 mg/L?
The Table below shows the average score of the150 students sampled from the University of the East Europe in the academic year 2020/2021. Score (out of 100) Number of students 40-49 19 50-59 32 60-69 49 70-79 29 80-89 21 Given that Class Frequency 40 - 49 19 50 - 59 32 60 - 69 49 70 - 79 29 80 - 89 21 Class(1) Frequency (f)(2) Mid value (x)(3) f⋅x(4)=(2)×(3) cf(6) 40-49 19 44.5 845.5 19 50-59 32 54.5 1744 51 60-69 49 64.5 3160.5 100 70-79 29 74.5 2160.5 129 80-89 21 84.5 1774.5 150 n=150 ∑f⋅x=9685 Use your results above to comment on the shape of the distribution. Give a reason for you answer.
Q\ For the next data: Class limit 13-19 20-26 27-33 34-40 41-47 48-54 55-61 62-68 Frequency 8 13 23 35 42 36 20 7 Calculate: 1- Arithmetic mean (X), Mode (X). 2- Standard Deviation (S), Coefficient of Variation (C,).
In order to estimate the difference between the yearly incomes of marketing managers in the East and West of the United States, the following information was gathered: East West n1= 40 I1=72 (in $1000s) 2= 78 (in $1000s) 51 =6 (in $1000s) n2= 45 s2 = 8 (in $1000s) Develop an interval estimate for the difference between the average yearly incomes of the marketing managers in the East and West. Use a = .05. At 95% confidence, use the p-value approach and test to determine if the average a. b. yearly income of marketing managers in the East is significantly different from the West
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6. Interval estimation when o is unknown (the data “Alcohol" is provided) Consumption of alcoholic beverages by young women of drinking age has been increas- ing in the United Kingdom, the United States, and Europe (The Wall Street Journal, Feb- ruary 15, 2006). Data (annual consumption in liters) consistent with the findings reported in The Wall Street Journal article are shown for a sample of 20 European young women. 266 82 199 174 97 170 222 115 130 169 164 102 113 171 93 93 110 130 Assuming the population is roughly symmetric, construct a 95% confidence interval for the mean annual consumption of alcoholic beverages by European young women.
Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?
2.)Use the following data where Y is the dependent and X is the independent variable: SALES EXPERIENCE Y ('000TL) X(Years) 114 61 129 135 117 6 17 11 7 12 Test the hypothesis that there is a significant correlation between Y and X at 1% level of significance.

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