Example 12.12 A company has reorganised its sales department. The following data show its weeklysales both before and after reorganisation. The period for comparison is taken from January to Marchin two successive years.Week No.1234567 8 91015 13 11 17111819Sales prior to reorganisation (Rs lakh) 12Sales after reorganisation (Rs lakh) 1615 1013 15 14 1211 172217 14Can it be concluded that the reorganisation of the sales department of the company has resulted in asignificant increase in its sales?

Answered: Image /qna-images/answer/a0e03b90-5420-40e7-bdcd-57ba07a69cb2.jpg

Answered: Example 12.12 A company has reorganised…

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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Technicians use moving-average lines to detect changes in trends by observing the interaction between the price of an asset and its moving average over a specific period. Consider a stock whose price data over the past 10 days are as follows: Day 1 2 3 4 5 6 7 8 9 10 Stock Price ($) 54.50 54.25 55.75 56.50 57.25 56.00 54.75 53.25 52.50 53.00 5-Day Simple Moving Average ($) Trend Assume a simple moving average (SMA) is calculated over a 5-day period. Calculate the SMA for each day, and based on the SMA, identify any potential changes in the trend during the 10-day period.
Provide an appropriate chart for the following data
6. Present the following data by a suitable diagram showing. The sales and net profits of a private company. Year Sales Net Profits 1998-1999 14% 49% 1999-2000 10% -25% 2000-2001 13% -1% es ehsinar wer lo
Need help with A & C.
The table below represents the monthly unemployment rates in the US from January of 2005 through May of 2016. Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2005 5.3% 5.4% 5.2% 5.2% 5.1% 5.0% 5.0% 4.9% 5.0% 5.0% 5.0% 4.9% 2006 4.7% 4.8% 4.7% 4.7% 4.6% 4.6% 4.7% 4.7% 4.5% 4.4% 4.5% 4.4% 2007 4.6% 4.5% 4.4% 4.5% 4.4% 4.6% 4.7% 4.6% 4.7% 4.7% 4.7% 5.0% 2008 5.0% 4.9% 5.1% 5.0% 5.4% 5.6% 5.8% 6.1% 6.1% 6.5% 6.8% 7.3% 2009 7.8% 8.3% 8.7% 9.0% 9.4% 9.5% 9.5% 9.6% 9.8% 10.0% 9.9% 9.9% 2010 9.7% 9.8% 9.9% 9.9% 9.6% 9.4% 9.5% 9.5% 9.5% 9.5% 9.8% 9.4% 2011 9.1% 9.0% 9.0% 9.1% 9.0% 9.1% 9.0% 9.0% 9.0% 8.8% 8.6% 8.5% 2012 8.2% 8.3% 8.2% 8.2% 8.2% 8.2% 8.2% 8.1% 7.8% 7.8% 7.8% 7.9% 2013 7.9% 7.7% 7.5% 7.5% 7.5% 7.5% 7.3% 7.2%…
A group of researchers carried out a survey of household expenditure for an average family and the data are shown in Table 3. Table 3 Commodity 2016 2017 Quantity 105 Price Quantity 100 Price Rice (kg) Bread (loaf) Cocoa powder (kg) Milk (liter) Sugar (kg) 7.30 8.60 3.02 16 3.10 18 10.26 25 7.83 33 6.10 56 6.55 78 2.85 11 2.95 15 (i) Compute the Average Price Relative (APR) index for 2016 and 2017, using 2016 as the base year. (ii) Calculate Paasche Price Index for 2017 (year 2016 = 100). Interpret the answer. (iii) Calculate Laspeyres Price Index for 2017 (year 2016 = 100). Interpret the answer. (iv) Calculate the Fisher's Price index.
47. Given the following data : Weekly take-home pay (wages) Consumer price index Year 109.50 112.8 2012 2013 112.20 118.2 2014 116.40 127.4 2015 125.08 138.2 2016 135.40 143.5 2017 138.10 149.8 () What was the real average weekly wage for each year ? (i) In which year did the employees have the greatest buying power ? (ii) What percentage increase in the weekly wages for the year 2017 is required (if any) to provide the same buying power that the employees enjoyed in the year in which they had the highest real wages ?
An entrepreneur who owns and operates two businesses (A and B) would like to analyze their profitability. They would like your help in the analysis. They give you the annual net profit (in thousands of $) for each business from 2008-2020. Table 1: Annual Net Profits for Businesses A and B Business Year Profit Business Year Profit 2008 -50 2008 -10 2009 57 2009 30 2010 71 2010 27 2011 64 2011 22 2012 60 2012 21 2013 50 2013 20 A 2014 41 2014 24 2015 59 2015 24 2016 71 2016 32 2017 71 2017 36 2018 74 2018 37 019 81 20 40 2020 97 2020 49 a. Suppose you want to graph the distribution of profits. Explain why using only one stem- plot might not be optimal for the analysis. b. Describe the correct stemplot to use. Generate this stemplot. Explain your steps. What can you say about the distribution from this stemplot? c. When are stemplots useful? And why is that? d. Suppose that instead of having 26 observations you have 200 observations. What graph should you generate? e. What other type of…
Describe this chart from a technical analysis perspective. If you were an investor what would you read from this chart?

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