Y Example 12. Compute (i) Laspeyre's Price Index, (ii) Weighted Average of relatives Index number taking W = number using W = Po91• Po9o (iii) Paasche's Index number, (iv) Weighted Average of relatives index 2004 2005 Commodity Price Оuantity Price Оuаntity A 2 3 4 В 2 2 3 C 3 4
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- Attack rate for influenza by age andtreatment group age QIV group Control group 3-4 3.78% 5.69% 5-8 1.70% 0.15% Suppose that 80% of 3–4-year-old children and 70% of 5–8-year-old children in a village are vaccinated with QIV vaccine. Also assume that children who are not vaccinated have twice the incidence of influenza as the control group in Table. What % of 3–4-year-old children in the village will get influenza? (Hint: Use the law of total probability. P(B)=P(B|A1) x P(A1) + P(B|A2) x P(A2) ) What % of 5–8-year-old children in the village will get influenza? (Hint: Use the law of total probability. P(B)=P(B|A1) x P(A1) + P(B|A2) x P(A2) )The data in the table characterizes the income distribution for a country. Income category Share of income (%) Cumulative share of income (%) first quintile 7.0 --- second quintile 9.0 16.0 third quintile --- 37.0 fourth quintile 25.0 --- fifth quintile 38.038.0 --- What percentage of the total population is categorized as belonging to the second quintile? Give your responses as whole numbers. Percentage of population in second quintile:__________% What percentage of the total income for the country is earned by the third quintile? Percentage earned by the third quintile:__________% What is the cumulative share of income earned by the poorest 80% of the population? Percentage earned by the poorest 80%:__________%Q3 - Returns on stocks X and Y are listed below: Period 1 2 3 4 5 6 7Stock X 3% -2% 9% 6% -1% -4% 11%Stock Y 1% -4% 7% 12% 3% -2% -1% Consider a portfolio of 20% stock X and 80% stock Y. What is the (population) variance of portfolio returns? Please round your answer to six decimal places.
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- Intergarated products Need to estimate its pc sales for the nextnext year. the most recent six years of revenue data for the companys line of xt personal computers and those of the industry, is found in the table below; Year XT PC Sales (000,000) All Industry PC Sales Revenue 1 2.4 4.6 2 5.9 8.6 3 15.5 10.7 4 27.8 14.8 5 35.9 18.5 6 38.1 19.4 a) Assuming that the sales data above are representative of sales expected next year , use time series regression analysis to forecast next years sales b) determine the correlation correlation for he ime forecast and interpret is meaning c) find the coefficient of determination for the time series forecast and intpret it s meaning d) perform a regression analysis between the annual sales revenues of XT Personal computers and all personal computers if the estimate of next years industry PC sales revenues is $21.9 billion? e) which independent variable should intergrated products coporation IPC choose for its forcasting of sales…1. OPER Health Center is rightfully worried about the need for additional physicians to cope with the increased patient flow. To see what the implications of increased flows would be, let us first investigate whether physicians are assigned efficiently in the current setting. Consider a typical day. The average numbers of patient arrivals to the health center during different times are shown in the following table. Time Slot Average Number of Patients # of physicans per hour 9-11am 32 9 11-1 pm 1-3 pm 20 23 10 9 3-5 pm 15 8 Coefficient of variation for the patient interarrival times is 1.4 and coefficient of variation for the activity times is 2. a) Compute the average waiting time to see a doctor for each time slot. (Remember that only 80% of patients visit the physicians). b) Suppose that the objective of BCG is to ensure that the average waiting time of a patient to see a physician is less than 25 minutes throughout the day (i.e., in each time slot) Develop a…2. A scatterplot shows a strong, positive, linear relationship between the number of rebounds a basketball team averages and the number of wins that team records in a season. Which conclusion is most appropriate? (A) A team that increases its number of rebounds causes its chances of winning more games to increase. (B) If the residual plot shows no pattern, then it is safe to conclude that getting more rebounds causes more wins, on average. (C) If the residual plot shows no pattern, then it is safe to conclude that getting more wins causes more rebounds, on average. (D) If the r^2r2 value is close enough to 100%, then it is safe to conclude that getting more rebounds causes more wins, on average. (E) Rebounds and wins are positively correlated, but we cannot conclude that getting more rebounds causes more wins, on average.
