Calculate the Theil index and the Atkinson index (use = 1) of house-hold income for all households and by race (in other words, calculate the inequality measures within racial categories). what would be the code for the above question in stata?
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Calculate the Theil index and the Atkinson index (use = 1) of house-hold income for all households and by race (in other words, calculate the inequality measures within racial categories).
what would be the code for the above question in stata?
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- 4) You are asked to calculate the weekly take home pay for a group of employees at your company (for each Employee ID). The employees in this group have a wage rate of 35 ÚSD per hour and 65 USD per hour when they work overtime. The following table list the hours work by the employees. Employee ID Regular hours Overtime hours 87 40 3 43 40 8. 99 32 40 153. You are asked to calculate the weekly take home pay for a group of employees at your company. The employees in this group have a wage rate of 35USD per hour and 65USD per hour when they work overtime. The following table list the hours work by the employees. Employee ID Regular hours Overtime hours 87 40 3 43 40 8 99 32 0 5 40 15One hundred students were asked whether they had taken courses in any of the three subjects, Mathematics, Computer Science and Information Technology. The results were given below. 45 had taken Mathematics; 18 had taken Mathematics and Computer Science; 38 had taken Computer Science; 21 had taken Information Technology; 9 had taken Mathematics and Information Technology.; 4 had taken Computer Science and Information Technology and 23 had taken no courses in any of the subjects. Draw a Venn diagram that will show the results of the survey.
- Question 7: Build a table to show the frequency of each offence category. Arrange the frequency in descending order. Which two categories have the most offences issued q7 * COffence category) *>* q7 The highest two frequency of offences are and Question 8: Draw a suitable plot to show the same information as in Question 7 but just restricted it to the highest 5 categories. Look at the lasi line of coding, what this coding is trying to do? It is just to make the label more visible by rotating the label. q7 *>* top_n(5) %>* ggplot (aes (x --- y = theme (axis. text.x - element_text (angle=45, hjust = 1))Use the 20 year Global Warming Potential (GWP) values in the first Table to calculate an equivalent CO2 emission rate for worldwide greenhouse gas emissions as given in the second table. Assume that total CFCs are divided equally among the three compounds listed. What is the percentage contribution of actual CO2 emissions to the total equivalent CO2? What is the next most important greenhouse gas emission based on this analysis? How do these results compare to those using the 100-year GWP.Plot 2 pie charts align horizontally (next to each other horizontally) for India Percent and China Percent with all axis, legend and Title labels using subplot() and explode data for 2015 year for both countries: a) India Percent b) China Percent
- Normalise the following group of data using z score normalisation (200, 300, 400, 600, 1000) Which is the answer? a, b or c?Problem List with Expected Results Problem 1 For all departments, display department number and the sum of all salaries for each department. Name the derived column SUM_SALARY. Result WORKDEPT SUM_SALARY A00 B01 C01 D11 D21 E01 E11 E21 128500.00 41250.00 90470.00 222100.00 150920.00 40175.00 104990.00 95310.00Answer the following questions: Assume that in cone-shaped structures, the measurements for the height and radius of 6 cones are given as 8.28, 8.04, 9.06, 8.70, 7.58, 8.34 and 2.27, 1.98, 1.69, 1.88, 1.64, 2.14 respectively. Write R program for the scenario given below. (a). Make vectors with the given values. (b) The volume of a cone with radius R and height H is given by (1/ 3) TIR²H. Make a vector with the volumes of the 6 cones. (c). Compute the mean, median and standard deviation of the cone volumes. (d). Compute also the mean of volume for the cones with a height less than 8.5.
- Data collected (including the normalized values) by a riding mower manufacturer on its existing customers are listed below. Customer ID Income Lot_Size Normalized Income Normalized Lot_Size Ownership 1 61.5 20.8 -0.351 0.762 Owner 2 82.8 22.4 0.726 1.421 Owner 3 52.8 20.8 -0.790 0.762 Nonowner 4 84 17.6 0.786 -0.556 Nonowner 5 63 14.8 -0.275 -1.709 Nonowner The riding mower manufacturer wants to classify a new customer (data given below) as either an owner or a nonowner using k-Nearest Neighbors method. Income Lot_Size Normalized Income Normalized Lot_Size 81 20 0.635 0.532Lael wants to determine several totals and averages for active students.In cell Q8, enter a formula using the COUNTIF function and structured references to count the number of students who have been elected to offices in student organizations.4, Use the given data to classify the record below using the k-NN algorithm for k=1 to 5. Loan Purpose Checking Savings Months Customer Months Employed Repairs 0 900 25 4 Complete the table below for the nearest neighbors and for the classification of the new record for each value of k. k Distance Classification 1 enter your response here ▼ High Low Tie 2 enter your response here ▼ High Low Tie 3 enter your response here ▼ High Low Tie 4 enter your response here ▼ Low High Tie 5 enter your response here ▼ High Tie Low (Round to four decimal places as needed.) Loan Purpose Checking Savings Months Customer Months Employed Credit Risk Business 322 578 10 14 Low New Car 0 821 25 63 High New Car 0 10723 11 15 Low Small Appliance 0 407 13 2 Low Business 16647 895…