Į Represent the following data by a suitable diagram :Items of ExpenditureFamily A (IncomeFamily B (IncomeFood150150ClothingEducation1256025Miscellaneous50190Saving or Deficit70+10-30

Given: Items of Expenditure Family A (Income) Family B (Income) Food 150 150 Clothing 125 60…

Answered: Į Represent the following data by a…

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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The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. B. The variable "weekly time spent watching television" is likely normally distributed. C. The variable "weekly time spent watching television" is likely uniform, not normally distributed. D. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. E. The variable "weekly time spent watching television" is likely skewed right, not normally distributed.
Sales by region 100% 80% 36 36 37 60% 21 15 29 40% 20% 43 48 36 0% Year 1 Year 2 Year 3 I Bainah i Sharqiyah i Dakhiyah The above chart is an example of:
(b) The yearly data have been published showing the number of releases for each commercial movie studios and the gross receipts for those studios. Based on the data shown in Table 4, can it be concluded that there is a linear relationship between the number of releases and the gross receipts? Table 4 Number of releases and gross receipts for a sample of the commercial movie studios No. of releases 361 270 306 22 35 10 8 12 21 Gross receipts 3844 | 1962| 1371 1064 334 241 | 188 154 125 (million $)
A company has the following monthly sales for the past year. Plot the data points on a line graph and describe the results. Month Sales 1 145 2 146 3 145 4 150 5 148 6 150 7 156 8 160 9 158 10 153 11 152 12 154
IV.
Example 3: Using three-year moving averages, determine the trend. Production Production Year Year (1000 tonnes) (1000 tonnes) 1990 21 1995 22 1991 22 1996 25 1992 23 1997 26 1993 25 1998 27 1994 24 1999 26
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Repair revenues from labor costs of the bicycle shop are given below: X 7.1 2.2 7.2 3.1 3.3 3.5 7.7 4.1 6.8 4.7 5.3 5.5 6.1 Y 3.9 1.7 3.7 1.5 2.2 1.4 4.9 2.5 4.5 3.4 2.3 3.6 3.2 Determine whether there is significant relationship at 0.05 level of significance Predict the value of Y if x are 2.7 and 1.5.
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Example 31. Plot Less than Ogive and More than Ogive for the following data: Cost of production 4 - 6 6 - 8 8 – 10 10 – 12 12 – 14 14 – 16 | No. of farms 13 111 182 105 19
. Death 2010 The January 2012 National Vital StatisticsReport by the Centers for Disease Control and Preventionincluded information on deaths in the United States forthe year 2010. The 4 most common causes-heart disease,cancer, respiratory diseases, and stroke-accounted fornearly 60% of all deaths. What problems do you see withthe graph at the top of the next column?
Consider the following table.

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Į Represent the following data by a suitable diagram : Family A (Income Items of Expenditure Food Family B (Income 150 150 Clothing Education 125 60 25 50 Miscellaneous 190 70 Saving or Deficit +10 -30