US per capita emission United States CO2 Emissions (million metric Emissions (million tons) China per capita emission (metric ton per person) China CO2 U.S. (metric ton metric tons) Population 227,225,000 229,466,000 231,664,000 233,792,000 235,825,000 237,924,000 240,133,000 242,289,000 244,499,000 246,819,000 249,623,000 252,981,000 256,514,000 259,919,000 263,126,000 266,278,000 269,394,000 272,657,000 275,854,000 279,040,000 282,162,411 284,968,955 287,625,193 290,107,933 292,805,298 China Population 981,235,000 993,885,000 1,008,630,000 1,023,310,000 1,036,825,000 1,051,040,000 1,066,790,000 1,084,035,000 1,101,630,000 1,118,650,000 1,135,185,000 1,150,780,000 1,164,970,000 1,178,440,000 1,191,835,000 1,204,855,000 1,217,550,000 1,230,075,000 1,241,935,000 1,252,735,000 1,262,645,000 1,271,850,000 1,280,400,000 1,288,400,000 1,296,075,000 Year per person) 1980 4679.80 1485.70 20.60 1.51 1981 4563.31 1470.48 19.89 1.48 1982 4332.43 1523.29 18.70 1.51 1983 4314.20 1615.11 18.45 1.58 1984 4539.47 1745.74 19.25 1.68 1985 4537.68 1830.91 19.07 1.74 1986 4540.57 1898.55 18.91 1.78 1987 4689.51 2007.19 19.36 1.85 1988 4920.95 2138.72 20.13 1.94 1989 5002.97 2137.83 20.27 1.91 1990 4980.77 2363.19 19.95 2.08 1991 4943.46 2173.25 19.54 1.89 1992 5043.52 2245.57 19.66 1.93 1993 5141.81 2423.05 19.78 2.06 1994 5221.14 2590.81 19.84 2.17 1995 5282.92 2808.87 19.84 2.33 1996 5468.22 2884.85 20.30 2.37 1997 5543.64 2804.98 20.33 2.28 1998 5578.63 2798.67 20.22 2.25 1999 5646.38 2925.23 20.24 2.34 2000 5828.65 3163.07 20.66 2.51 2001 5736.25 3317.01 20.13 2.61 2002 5793.49 3559.84 20.14 2.78 2003 5862.69 4140.40 20.21 3.21 2004 5995.62 4802.86 20.48 3.71
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
- Use Riemann sums to calculate the total emissions and per capita emissions from 1980 to 2015. Did you use left, right, or midpoint boxes? Which country is more responsible for current atmospheric CO2 levels? Summarize your results in a few sentences.
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