**Child Labor in Diamond Mines**The role of child laborers in Africa's colonial-era diamond mines was explored in research published in the *Journal of Family History* (Vol. 35, 2010). A particular mining company attracted children to work by giving incentives to adult male workers to move their families closer to the diamond mines. The effectiveness of this incentive program was assessed by calculating the annual *accompaniment rate* — the percentage of wives (or sons, or daughters) who joined their husbands (or fathers) in moving to the mine. The data from the journal article was used to simulate accompaniment rates for nine consecutive years, as presented in the table below.**Tasks:**a. Calculate the correlation coefficient relating the accompaniment rates for wives and sons, and interpret this value.b. Calculate the correlation coefficient relating the accompaniment rates for wives and daughters, and interpret this value.c. Calculate the correlation coefficient relating the accompaniment rates for sons and daughters, and interpret this value.**Table: Accompaniment Rates over Nine Years**```| Year | Wives | Sons | Daughters ||------|-------|------|-----------|| 1 | 28.7 | 2.4 | 14.3 || 2 | 41.6 | 1.7 | 13.1 || 3 | 37.2 | 0.5 | 10 || 4 | 39.3 | 3.7 | 19.6 || 5 | 39.5 | 5.6 | 19.4 || 6 | 39.9 | 11.2 | 21.7 || 7 | 40.2 | 12.1 | 15.3 || 8 | 31.3 | 8.8 | 15.1 || 9 | 25.3 | 7.6 | 19.6 |```**Source:**Based on T. Cleveland, “Minors in Name Only: Child Laborers on the Diamond Mines of the Companhia de Diamantes de Angola (Diamang), 1917–1975,” *Journal of Family History*, Vol. 35, No. 1, 2010

Given: Wives (x) Sons (y) Daughters (z) 28.7 2.4 14.3 41.6 1.7 13.1 37.2 0.5 10 39.3…

Answered: Child labor in diamond mines. The role…

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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Your hospital is negotiating with medical insurance providers, who would like to reduce the amount they pay as reimbursement for hospital stays. For a particular procedure, they would like to reduce payment by $300 and have patients go home one day earlier. To see what effect this would have on hospital costs, a random sample of 50 patients who were recently admitted for this procedure was analyzed. Had they left one day earlier, the average hospital cost would have been $322.44 less, and the standard deviation was found to be $21.71. Construct a 95% confidence interval for the mean net savings for the hospital, per patient, for the larger population of recent patients.
Borrowing money may be necessary for business expansion. However, too much borrowed money can also mean trouble. Are developing countries tending to borrow more? A random sample of 20 developing countries gave the following information regarding foreign debt per capita (in U.S. dollars, inflation adjusted). (Reference: Handbook of International Economic Statistics, U.S. Government Documents.) Country 1 2 3 4 5 6 7 8 9 10 Modern Debt per Capita 175 152 125 124 95 83 34 29 21 89 Historic Debt per Capita 147 134 86 113 58 62 33 36 49 72 Country 11 12 13 14 15 16 17 18 19 20 Modern Debt per Capita 23 28 18 29 197 189 144 124 102 71 Historic Debt per Capita 24 12 12 29 106 156 145 119 118 76 Does this information indicate that foreign debt per capita is increasing in developing countries? Use a 0.01 level of significance. (a) What is the level of significance? Compute the sample test statistic. Find the P-value of the sample test statistic.
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Chapter 5 In preparation for your discussion post, complete the following: • Research data on the U.S. uninsured population (https://aspe.hhs.gov/sites/default/files/private/pdf/265041/trends-in-the-us- uninsured.pdf B). • Choose one condition for your discussion post about an uninsured group. (For example, In 2019, 22% of Latine individuals under age 65 were uninsured, Figure 4 p.6). For your discussion board post include all of the following: 1. Suppose six individuals, within your criteria, are randomly selected. Show or explain your thinking for each problem. (Note: This is a binomial probability from Section 5.2, they either have insurance or they do not.) A. Let having insurance be a success. State the values of your p, q, and n for your chosen condition. Explain your thinking. (For my example, if 22% do not have insurance, then that is my q (failure) value, my p=0.78, q=0.22, n-6 (6 individuals are randomly selected in this problem). B. Use excel or a T184 to determine the…
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