In: Statistics and Probability
Country Burkina Faso Ethiopia Myanmar Ghana Kenya India Nicaragua Tunisia Guatemala Algeria Ecuador Peru Colombia Lebanon China Brazil Mexico Turkey Argentina Venezuela, RB Greece Portugal Malta Spain Italy Israel Japan France New Zealand United Arab Emirates Belgium United Kingdom Canada Germany Finland Austria Netherlands Ireland Australia Sweden United States Denmark Iceland Luxembourg Switzerland Norway |
Average Income 640 660 1190 1380 1380 1680 2050 3690 3790 4270 5820 5950 6320 7680 8260 8840 9040 11180 11960 12500 18960 19850 24140 27520 31590 36190 38000 38950 39070 40480 41860 42390 43660 43660 44730 45230 46310 52560 54420 54630 56180 56730 56990 76660 81240 82330 |
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In 2016, the global average annual income worldwide was estimated to be $10,850[1]. (This includes all countries of the world, not just the countries in the data table.)
[1] Source: Organization for Economic Co-operation and
Development (OECD).
A) construct an 80%, 90%, 95%, 98%, 99% confidence interval to
estimate the proportion of countries in the world with an average
income greater than the global average. Calculate the
Margin of Error for each confidence
interval.
B) As the confidence level increases, what happens to the width of the interval? (Note: the width of the interval is the difference between the upper and lower limits.)
C) As the confidence level increases, what happens to the margin of error?
let x is the observation greater than 10850 = 29
using excel we have
Confidence Interval Estimate for the Proportion | |
Data | |
Sample Size | 46 |
Number of Successes | 29 |
Confidence Level | 80% |
Intermediate Calculations | |
Sample Proportion | 0.630434783 |
Z Value | -1.28155157 |
Standard Error of the Proportion | 0.07116832 |
Margin of error | 0.091205872 |
Confidence Interval | |
Interval Lower Limit | 0.539228911 |
Interval Upper Limit | 0.721640654 |
Confidence Interval Estimate for the Proportion | |
Data | |
Sample Size | 46 |
Number of Successes | 29 |
Confidence Level | 90% |
Intermediate Calculations | |
Sample Proportion | 0.630434783 |
Z Value | -1.64485363 |
Standard Error of the Proportion | 0.07116832 |
Margin of error | 0.117061469 |
Confidence Interval | |
Interval Lower Limit | 0.513373314 |
Interval Upper Limit | 0.747496251 |
Confidence Interval Estimate for the Proportion | |
Data | |
Sample Size | 46 |
Number of Successes | 29 |
Confidence Level | 95% |
Intermediate Calculations | |
Sample Proportion | 0.630434783 |
Z Value | -1.95996398 |
Standard Error of the Proportion | 0.07116832 |
Margin of error | 0.139487343 |
Confidence Interval | |
Interval Lower Limit | 0.490947439 |
Interval Upper Limit | 0.769922126 |
Confidence Interval Estimate for the Proportion | |
Data | |
Sample Size | 46 |
Number of Successes | 29 |
Confidence Level | 98% |
Intermediate Calculations | |
Sample Proportion | 0.630434783 |
Z Value | -2.32634787 |
Standard Error of the Proportion | 0.07116832 |
Margin of error | 0.165562269 |
Confidence Interval | |
Interval Lower Limit | 0.464872513 |
Interval Upper Limit | 0.795997052 |
in short we have
margin of error | lower limit | upper limit | width | |
80% CI | 0.0912 | 0.5392 | 0.7216 | 0.1824 |
90% CI | 0.1171 | 0.5134 | 0.7475 | 0.2341 |
95% CI | 0.1395 | 0.491 | 0.7699 | 0.2789 |
98%CI | 0.1656 | 0.4649 | 0.796 | 0.3311 |
99%CI | 0.1833 | 0.4471 | 0.8138 | 0.3667 |
2)As the confidence level increases, the margin of error is also
increases
Ans 1 ) As the confidence level increases, the width of the
interval is also inreases