Question
Using the dataset below. This dataset includes the value of US real GDP, measured in billion dollars . 1. Compute the arithmetic mean for real
Using the dataset below. This dataset includes the value of US real GDP, measured in billion dollars .
1. Compute the arithmetic mean for real GDP over the last two decades: from 2001 to 2020. (Just put the numerical value of the mean, measured in billion dollars, no need to put the unit of measurement. Round up your answer to two decimal points.)
2. Compute the sample standard deviation for real GDP over the last two decades: from 2001 to 2020. (Just put the numerical value of the standard deviation, measured in billion dollars, no need to put the unit of measurement. Round up your answer to two decimal points.)
3. Compute the geometric mean for the GDP growth rate over the last two decades: from 2001 to 2020. Report your answer in its decimal representation (rather than percentages). Round up your answer to three decimal points.
4. Compute the median GDP growth rate over the last two decades: from 2001 to 2020. Report your answer in its decimal representation (rather than percentages). Round up your answer to three decimal points.
5. Compute the interquartile range for the GDP growth rate over the last two decades: from 2001 to 2020. Report your answer in its decimal representation (rather than percentages). Round up your answer to four decimal points. (Hint: First, research the idea behind interquartile range. Then, make sure use of =QUARTILE function in Excel to compute the interquartile range).
Multiple Choice:
6. Making a comparison between the real GDP growth rate between 1980 and 2000 and the real GDP growth rate between 2001 and 2020. Then choose the correct statement below:
a. Medians suggest that growth was more impressive in the former period (1980-2000), compared to the later period (2001-2020). The geometric mean rates suggest otherwise.
b. Growth was less impressive in the former period (1980-2000), compared to the later period (2001-2020). That is evident from the geometric mean and the median rates.
c. Growth was more impressive in the former period (1980-2000), compared to the latter period (2001-2020). That is evident from the geometric mean and the median rates.
d. Geometric means suggest that growth was more impressive in the former period (1980-2000), compared to the latter period (2001-2020). The median rates suggest otherwise.
e. Medians suggest that growth was less impressive in the former period (19080-2000), compared to the latter period (2001-2020). The geometric mean rates suggest otherwise.
f. Geometric means suggest that growth was less impressive in the former period (1980-2000), compared to the latter period (2001-2020). The median rates suggest otherwise.
Date | Real_GDP_Billion_Dollars | Real_GDP_Growth_Rate |
1980 | 6759.181 | -0.002567556 |
1981 | 6930.71 | 0.025377262 |
1982 | 6805.758 | -0.01802878 |
1983 | 7117.729 | 0.045839236 |
1984 | 7632.812 | 0.072366273 |
1985 | 7951.074 | 0.041696525 |
1986 | 8226.392 | 0.034626454 |
1987 | 8510.99 | 0.034595788 |
1988 | 8866.499 | 0.041770552 |
1989 | 9192.134 | 0.036726476 |
1990 | 9365.494 | 0.018859603 |
1991 | 9355.355 | -0.001082618 |
1992 | 9684.892 | 0.035224426 |
1993 | 9951.503 | 0.027528521 |
1994 | 10352.432 | 0.040288313 |
1995 | 10630.321 | 0.026842848 |
1996 | 11031.35 | 0.037725038 |
1997 | 11521.938 | 0.04447221 |
1998 | 12038.283 | 0.044814053 |
1999 | 12610.491 | 0.047532381 |
2000 | 13130.987 | 0.04127478 |
2001 | 13262.079 | 0.009983465 |
2002 | 13493.065 | 0.017416971 |
2003 | 13879.129 | 0.028612033 |
2004 | 14406.383 | 0.037988985 |
2005 | 14912.509 | 0.035132085 |
2006 | 15338.257 | 0.028549723 |
2007 | 15626.03 | 0.018761764 |
2008 | 15604.688 | -0.001365798 |
2009 | 15208.834 | -0.025367586 |
2010 | 15598.754 | 0.025637682 |
2011 | 15840.664 | 0.015508339 |
2012 | 16197.008 | 0.022495474 |
2013 | 16495.37 | 0.01842081 |
2014 | 16912.038 | 0.02525971 |
2015 | 17432.17 | 0.03075515 |
2016 | 17730.509 | 0.017114249 |
2017 | 18144.105 | 0.023326813 |
2018 | 18687.786 | 0.029964623 |
2019 | 19091.662 | 0.021611776 |
2020 | 18426.077 | -0.034862601 |
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