13. The following data relate to the prices and quantities of 4 commodities in the years2012 and 2013. Construct the following index numbers of price for the year 2013 by using 2012 as theBase year,(i) Laspeyre's Index, (ii) Paasche's Index, (iii) Fisher's Ideal Index,20122013CommodityPriceQuantityPriceQuantity1006.1504801002.5607212.0309.33

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Answered: 13. The following data relate to the…

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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4.- For the following data set 10, 7, 6, k, 4, 7, 1, 10. Find the value of k so that (a) X = 6.25 (b) X = 7.5 Villalobos 2020 22 (c) M = 7 (d) MR = 10 CHAPTER 3. DATA DESCRIPTION
What the three trend lines and seasonal variation information shown in Chart and Table1 indicate about historic sales of smart running shoes in Europe and how thisinformation could be used to determine a forecast of sales volumes for our new rangefor the for first 2 quarters of 2022.
In the construction of the retail price index numbers the weights were assigned as follows. Food 0, Fuel-10, Housing-7, Clothing-4, and Misc.-9. Compute the index number foi the period if the average percentage of increase in prices of the various items were 20, 25, 30, 40, and 50 respectively. If an executive was getting a monthly salary of Rs. 3000 in the base period what should he get in the current period in order that he may be able to maintain his same standard of living.
Imagine that you are managing a hotel with 120 rooms. In order to track the occupancy rates you use 6 weeks trailing period. You just received information that 102 out of 120 rooms were occupied on Wednesday (10/16/13). Using updated information on the occupancy rates and the occupancy rates for the last 6 Wednesdays in Table 1, calculate the rolling average for Wednesdays. Table 1 Date Occupancy O 64% O 57% 82% O 61% 09/04/13 09/11/13 09/18/13 42.5% 55% 60% 09/25/13 10/02/13 10/09/13 45% 62.5% 77.5%
16. The price quotations of four different commodities for 1996 and 1997 are given befow. Calculate the index number for 1997 with 1996 as base by using (i) the simple average of price relatives, and (ii) the weighted average of price relatives. Unit Weight Price in (Rs.) Commodities (Rs. '000) 1996 1997 2.00 4.50 Kg. Quintal 2.50 3.20 3.00 4.50 Dozen 1.00 1.80 Kg.
15 the 1976 are given below. Calculate the index number for 1977 with 1976 as base by using (i) the simple average of price relatives, and (ii) the weighted average of price relatives. price quotations of four different commodities for 1976 and Unit Weight Price in (Rs.) Commodities (Rs. '000) 1976 1977 Kg. Quintal Dozen Kg. 2.00 2.50 3-00 1.00 4.50 3.20 4.50 1,80 В S762 ABCD
12. x: 471.7 659.3 740.5 790.5 781.3 1047.3 969.5 1206.1 y: 446.3 680.2 725.2 765.3 740.4 1005.6 936.3 1156.8 Using the data find the y mean 219.60 833.28 205.42 807.01
Year. Bank. Deposits 2018 STANBIC. 6,205,018 2019. Stanbic. 9,295,682 2020 STanbic. 12,742,132 2018. BARCLAYS. 7,657,089 2019 Absa. 10,139,424 2020 Absa. 10,598,067 Calculate the Herfindahl-Hirschman Index (HHI) for each year using deposits and comment on the level of competition
3. What percentage of College students have made at least one online purchase in the last three months? To answer this question, a market researcher surveyed 200 college students. Of those surveyed, 76 said that they had made at least one online purchase (a.) What is the parameter of interest in this study? (b.) Calculate the corresponding point estimate of the population proport
9. Find the Association between Literacy and Unemployment from the following figures : Total Adults Literates Unemployed Literate Unemployed. Comment on the result. 10,000 1,290 1,390 820
1. A sales manager would like to see his sales representative’s unit sales per month. The secretary was told to keep a monthly record of the sales. The following are the data from the previous months (in ascending order): 5, 6, 8, 10, 10, 14, 15, 16, 16, 17, 17, 18, 19, 21, 21, 23, 26, 27, 28, 28, 28, 30, 38, 43. Compute for the median and mode. What is the range for the monthly sales?
Calculate MSE for the 4 periods for which the actual and forecasted number of customers given in the table below: Period Actual Number of Customers Forecasted Number of Customers Error 1 1,975 2,000 2 2,050 2,025 3 1,925 1,975 4 2,075 2,025 0 390.63 37.5 6,250 1,562.5

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