Return to the data on Eagles rushing yards and their opponents' rushing yards. Eagles' Rushing Opponents Eagles' Rushing Touchdown Season Yards Yards 2019 1939 1442 46 2018 1570 1551 41 2017 2115 1267 53 2016 1813 1652 37 2015 1743 2153 45 2014 1992 1771 54 2013 2566 1668 53 2012 1874 2021 29 2011 2276 1801 46 2010 2324 1766 49 2009 1637 1675 47 Formulate a hypothesis on the means between how many yards the Eagle's rush for and how many yards their opponents rush for.
Return to the data on Eagles rushing yards and their opponents' rushing yards. Eagles' Rushing Opponents Eagles' Rushing Touchdown Season Yards Yards 2019 1939 1442 46 2018 1570 1551 41 2017 2115 1267 53 2016 1813 1652 37 2015 1743 2153 45 2014 1992 1771 54 2013 2566 1668 53 2012 1874 2021 29 2011 2276 1801 46 2010 2324 1766 49 2009 1637 1675 47 Formulate a hypothesis on the means between how many yards the Eagle's rush for and how many yards their opponents rush for.
Return to the data on Eagles rushing yards and their opponents' rushing yards. Eagles' Rushing Opponents Eagles' Rushing Touchdown Season Yards Yards 2019 1939 1442 46 2018 1570 1551 41 2017 2115 1267 53 2016 1813 1652 37 2015 1743 2153 45 2014 1992 1771 54 2013 2566 1668 53 2012 1874 2021 29 2011 2276 1801 46 2010 2324 1766 49 2009 1637 1675 47 Formulate a hypothesis on the means between how many yards the Eagle's rush for and how many yards their opponents rush for.
Return to the data on Eagles rushing yards and their opponents' rushing yards.
Season
Eagles' Rushing Yards
Opponents Rushing Yards
Eagles' Touchdowns
2019
1939
1442
46
2018
1570
1551
41
2017
2115
1267
53
2016
1813
1652
37
2015
1743
2153
45
2014
1992
1771
54
2013
2566
1668
53
2012
1874
2021
29
2011
2276
1801
46
2010
2324
1766
49
2009
1637
1675
47
Q1:
Formulate a hypothesis on the means between how many yards the Eagle's rush for and how many yards their opponents rush for.
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
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