The poverty rates for white and blacks in the U.S were compared for a period of twelveyears with the following results.White9.19.79.68.886.96.977.17.76.87Black30.932.43330.828.927.827.528.227.927.126.927.8a. Treat poverty rate for whites as the independent variable. Determine the samplecorrelation coefficient. What does this say about the direction of the relationship and whatdoes that mean?b. Determine the least squares line for these data.c. What is the slope of the least squares line and what does it mean in this situation?d. If the poverty rate for whites is 7.5, what would you expect the poverty rate for blackswould be?e. If the poverty rate for blacks is 30, what would you expect the poverty rate for whiteswould be?g Explain why it may not be appropriate to predict the black poverty rate when the whitepoverty rate is 12.

WhiteBlack9.130.99.732.49.6338.830.8828.96.927.86.927.5728.27.127.97.727.16.826.9727.8

Answered: The poverty rates for white and blacks…

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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Using the information from the following table to calculate the crude death rate for Austria. Use the direct method of age-adjustment and calculate the age adjusted rate for Austria using the US population as the standard population. State your conclusions regarding how the age distribution of Austria affects the mortality rate. Table: Deaths and population per age group, Austria, 2018 Austria Age- Specific Standard Expected Mortality Population Count Rate per 100,000 Age <30 3,000 10,500,000 30- 39 40- 49 Austria Austria Deaths Population 50- 59 12,000 11,500,000 25,100 12,600,000 49,400 13,600,000 60- 69 70+ 100,400 4,500,000 Total 286,900 58,700,000 97,000 6,000,000 30,000,000 8,000,000 7,000,000 4,500,000 3,000,000 2,500,000 55,000,000
A statistical program is recommended. A certain company has been an authorized dealer for C&D marine radios for the past seven years. Suppose the quarterly sales values for the seven years of historical data are as follows. Year Quarter 1 Quarter 2 Quarter 3 1 2 3 4 5 6 7 7 11 15 19 22 25 29 15 18 26 28 34 36 40 10 15 23 25 28 30 35 Quarter 4 4 radios radios radios radios 7 12 18. 21 20 27 Total Yearly Sales 36 51 76 90 105 111 131 (a) Use the following dummy variables to develop an estimated regression equation to account for any seasonal and linear trend effects in the data: x₁ = 1 if quarter 1, 0 otherwise; x₂ = 1 if quarter 2, 0 otherwise; and x3 = 1 if quarter 3, 0 otherwise. (Let t = 1 denote the time series value in quarter 1 of year 1; t = 2 denote the time series value in quarter 2 of year 1; ... and t = 28 denote the time series value in quarter 4 of year 7. Round your numerical values to three decimal places.) 8 = (b) Compute the quarterly forecasts for next year. (Round…
State Per Capita Personal Income ($) Birth Rate Delaware 28,493 13.9 Maryland 28,674 13.0 District of Columbia 35,704 15.7 Virginia 26,109 13.2 18,724 11.3 West Virginia 14.2 23.168 North Carolina 13.6 20,508 South Carolina 15.8 23,822 Georgia 13.1 24,799 Florida (a) The Ts(in 3 significant figures) for the given data is equal to Blank 1. (b) The typre of relation (negative, positve, or no relation) that exist between per capita personal income and birt rate is Blank 2
Adjusted Gross Incomes. The Internal Revenue Service (IRS) publishes data on adjusted gross incomes in the document Statistics of Income, Individual Income Tax Returns. The following relative-frequency histogram shows one year’s individual income tax returns for adjusted gross incomes of less than $50,000.
How productive are U.S. workers? One way to answer this question is to study annual profits per employee. A random sample of companies in computers (I), aerospace (II), heavy equipment (III), and broadcasting (IV) gave the following data regarding annual profits per employee (units in thousands of dollars). I II III IV 27.9 13.5 22.2 17.9 23.2 9.6 20.5 16.4 14.7 11.1 7.7 14.5 8.3 8.9 12.7 15.9 11.8 6.5 7.7 10.6 19.1 9.5 What are the degrees of freedom? (numerator) (denominator)(c) Find the P-value of the sample test statistic. P-value > 0.100 0.050 < P-value < 0.100 0.025 < P-value < 0.050 0.010 < P-value < 0.025 0.001 < P-value < 0.010 P-value < 0.001 (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Since the P-value is greater than the level of significance at α = 0.05, we do not reject H0. Since the P-value is less than or equal to the level of significance at α = 0.05, we…
The ages of a sample of 12 students enrolled in an online macroeconomics course are as follows: 21 22 27 36 18 19 22 23 22 28 36 33 a. What is the mean age for this sample? b. Find the median age. c. What is the value of the modal age?
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1. The data in Table 7–6 were collected in a clinical trial to evaluate a new compound designed to improve wound healing in trauma patients. The new compound was com- pared against a placebo. After treatment for 5 days with the new compound or placebo, the extent of wound healing was measured. Is there a difference in the extent of wound healing between the treatments? (Hint: Are treatment and the percent wound healing independent?) Run the appropriate test at a 5% level of significance. Use the data in Problem 1. Pool the data across the treatments into one sample of size n = 250. Use the pooled data to test whether the distribution of the percent wound healing is approximately normal. Specifically, use the following distribution 30%, 40%, 20%, and 10% and a = 0.05 to run the appropriate test. Percent Wound Healing Treatment 0-25% 26-50% 51-75% 76-100% New compound (n=125) 15 37 32 41 Placebo (n=125) 36 45 34 10
it is assumed that a production process may produce some defective items. it is found that 12 item are defective out of 100 randomly selected items. What is the point estimate of the population production of non-defective item of this production process? a. 0.12 b. 0.92 c. 0.08 d. 0.88

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