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For the following frequency distribution : Sales in Rs (1000) Frequency 16-30 39 31-45 25 46-60 61-75 4 76-90 3 „Find Mean, Median and Mode. b, Draw frequency curve.

For the following frequency distribution : Sales in Rs (1000) Frequency 16-30 39 31-45 25 46-60 61-75 4 76-90 3 „Find Mean, Median and Mode. b, Draw frequency curve.

MATLAB: An Introduction with Applications
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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3:00 A Ims.iobm.edu.pk – Private Q.No.1: (7) For the following frequency distribution : Sales in Rs Frequency (1000) 16-30 39 31-45 25 46-60 8 61-75 4 76-90 3 » Find Mean, Median and Mode. b Draw frequency curve. Q.No.2: (7) The following are the annual profits in thousands of rupees in a certain business: Year 2005 2006 2007 20o8 2009 Profit 88 101 115 91 113 o Find the linear estimating equation that best describes these data. (i) Draw estimated and trend line on same paper. (i Estimate profit for the year 2017. Q.No.3: (7) Cost and output of hosiery mill for a sample of seven selected months are given below: Output (ton) x Production (cos llac, of rupees) Find the simple linear regression equation that best describes these data. b) Plot trend line and linear estimating equation on answer sheet with suitable scale. Estimate production cost if x=10 tons. Find correlation coefficient, coefficient determination and interpret your results. e) Draw estimated regression line and scatter diagram on same page with suitable scale and what is relevance of standard error with scatter diagram. Q.No.4: (7) The height of 1700 students are normally distributed with a
Transcribed Image Text:3:00 A Ims.iobm.edu.pk – Private Q.No.1: (7) For the following frequency distribution : Sales in Rs Frequency (1000) 16-30 39 31-45 25 46-60 8 61-75 4 76-90 3 » Find Mean, Median and Mode. b Draw frequency curve. Q.No.2: (7) The following are the annual profits in thousands of rupees in a certain business: Year 2005 2006 2007 20o8 2009 Profit 88 101 115 91 113 o Find the linear estimating equation that best describes these data. (i) Draw estimated and trend line on same paper. (i Estimate profit for the year 2017. Q.No.3: (7) Cost and output of hosiery mill for a sample of seven selected months are given below: Output (ton) x Production (cos llac, of rupees) Find the simple linear regression equation that best describes these data. b) Plot trend line and linear estimating equation on answer sheet with suitable scale. Estimate production cost if x=10 tons. Find correlation coefficient, coefficient determination and interpret your results. e) Draw estimated regression line and scatter diagram on same page with suitable scale and what is relevance of standard error with scatter diagram. Q.No.4: (7) The height of 1700 students are normally distributed with a
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