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Choose the correct alternative: The components of a time series which is attached to short term fluctuation is - Business Mathematics and Statistics

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प्रश्न

Choose the correct alternative:

The components of a time series which is attached to short term fluctuation is

विकल्प

  • Secular trend

  • Seasonal variations

  • Cyclic variation

  • Irregular variation

MCQ
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उत्तर

Irregular variation

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Time Series Analysis
  क्या इस प्रश्न या उत्तर में कोई त्रुटि है?
अध्याय 9: Applied Statistics - Exercise 9.4 [पृष्ठ २२९]

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सामाचीर कलवी Business Mathematics and Statistics [English] Class 12 TN Board
अध्याय 9 Applied Statistics
Exercise 9.4 | Q 3 | पृष्ठ २२९

संबंधित प्रश्न

State the uses of time series


Write a brief note on seasonal variations


Compute the average seasonal movement for the following series

Year Quarterly Production
I II III IV
2002 3.5 3.8 3.7 3.5
2203 3.6 4.2 3. 4.1
2004 3.4 3.9 37 4.2
2005 4.2 4.5 3 4.4
2006 3.9 4.4 4.2 4.6

The sales of a commodity in tones varied from January 2010 to December 2010 as follows:

In Year 2010 Sales (in tones)
Jan 280
Feb 240
Mar 270
Apr 300
May 280
Jun 290
Jul 210
Aug 200
Sep 230
Oct 200
Nov 230
Dec 210

Fit a trend line by the method of semi-average


Use the method of monthly averages to find the monthly indices for the following data of production of a commodity for the years 2002, 2003 and 2004

2002 2003 2004
15 20 18
18 18 25
17 16 21
19 13 11
16 12 14
20 15 16
21 22 19
18 16 20
17 18 1
15 20 16
14 17 18
18 15 20

Choose the correct alternative:

A time series is a set of data recorded


Choose the correct alternative:

The additive model of the time series with the components T, S, C and I is


Choose the correct alternative:

The component of a time series attached to long term variation is trended as


Using three yearly moving averages, Determine the trend values from the following data.

Year Profit Year Profit
2001 142 2007 241
2002 148 2008 263
2003 154 2009 280
2004 146 2010 302
2005 157 2011 326
2006 202 2012 353

From the following data, calculate the trend values using fourly moving averages.

Year 1990 1991 1992 1993 1994 1995 1996 1997 1998
Sales 506 620 1036 673 588 696 1116 738 663

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