In: Math
A systematic random sample was taken from the set of all Presidents of the United States. The data file potus heights.csv random sample includes the height (in inches) of each sampled President. (a) From this data, estimate the average height of United States Presidents. Calculate two error bounds for your estimate, one using the usual SRS formula, and one using the successive difference variance estimator. (b) Which variance estimator is more appropriate for these data? Briefly explain
president | hgt |
Van Buren | 56 |
McKinley | 57 |
Harrison | 68 |
Carter | 69 |
Roosevelt | 70 |
Cleveland | 71 |
Buchanan | 72 |
Kennedy | 72 |
AJackson | 73 |
GHWBush | 74 |
Lincoln | 76 |
president | hgt | ||||||||
Van Buren | 56 | ||||||||
McKinley | 57 | ||||||||
Harrison | 68 | ||||||||
Carter | 69 | ||||||||
Roosevelt | 70 | ||||||||
Cleveland | 71 | ||||||||
Buchanan | 72 | ||||||||
Kennedy | 72 | ||||||||
Ajackson | 73 | ||||||||
GHWBush | 74 | ||||||||
Lincoln | 76 |
|
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Average height of United states president= | 68.90909 | ||||||||
variance= | 38.80992 | Standard deviation= | 6.229761 | ||||||
using normality asumption for simple srs we can compute error bounds | |||||||||
(68.9090-6.2297/sqrt(11))*1.96) | and | (68.9090+(6.2297/sqrt(11))*1.96) | |||||||
65.22748 | and | 72.59052 | at 5% los | ||||||
method 2 | |||||||||
successive difference variance method | |||||||||
variance = | (1-1/n)*σ2 = | 35.28175 | and | STANDARD Deviation= | 5.939844 | ||||
using normality asumption we can obtain bounds | |||||||||
(68.9090-(5.9398/sqrt(11))*1.96) | and | (68.9090+(5.9398/sqrt(11))*1.96) | |||||||
65.3988 | and | 72.4192 | at 5% los | ||||||
b) successive difference variance estimator is more appropriate for this data |