was not satisfied by this increase of Rs. 5000 in the month of March.He expected much more because of the seasonal index. How much couldthese two months are 105 and 140 respectively. The owner of the companyFebruary to Rs. 35,000 in the month of March. The seasonal indices forThe sales of a company rose from Rs. 30,000 in the month ofhe expecton the basis of the seasonal index ?

We have given seasonal index for March and February and depend on that how much expected profit for…

Answered: He expected much more because of 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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Example 5. In a trip' organized by a college, there were 100 persons the average cost works out to Rs. 15.60 per head. There were 80 students each of whom paid Rs. 16. Members of the teaching staff were charged at a higher rate. The number of servants was 6 (all males) and they were not charged. The number of ladies was 20% of the total of which two were ladies staff members. Tabulate the above information in proper tabular form. CS Scanned with CamScanner
The five-year survival rate for Caucasians for all forms of cancer increased from 39% in the 1960s to 59% now. Express this change in two ways: (1) as an absolute difference in terms of percentage points and (2) as a relative difference in terms of percent.
1. f(*) %3 2х +3
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Solve both..
For the particular Year 2 that you chose, what is the maximum growth rate a country could have and still have a lower growth rate than 75% of the other countries in the world? Explain. Out of the years you chose, in which year did the smallest growth rate in GDP occur? What is the value and how did you determine it? Based on your summary statistics, did "Year 1" have higher GDP growth rates than the other two years? Give reasons for your answer. Make sure to not just compare max and min values, but rather use all the values of the 5-number summary and/or a boxplot. You might also argue based on the shape of the distribution and discuss the impact of outliers in your analysis. Which of the years you chose has the largest variability? Explain
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