Question

In: Statistics and Probability

Country Burkina Faso Ethiopia Myanmar Ghana Kenya India Nicaragua Tunisia Guatemala Algeria Ecuador Peru Colombia Lebanon...

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

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?

Solutions

Expert Solution

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


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