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Updated on: 05 Feb 2024, 10:33
Originally posted by vinyasgupta on 08 Mar 2015, 12:06.
Last edited by BottomJee on 05 Feb 2024, 10:33, edited 4 times in total.
Last edited by BottomJee on 05 Feb 2024, 10:33, edited 4 times in total.
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The median margin of error for walking is larger than the mode margin of error for walking.: False
Assuming actual values are within the margin of error, it is possible that a larger proportion of people drove alone to work in the armed forces than drove alone to work in construction.: True
The listed industry with the largest overall margin of error relative to its own total commuters is agriculture, forestry, and mining.: False
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
95%
(hard)
Question Stats:
42% (04:00) correct
58%
(03:55)
wrong
based on 265
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(Sort ↕ the table by clicking on the headers)
| | Drove alone | Carpooled | Public transportation | Walked | All other means | ||||||
| Industry | Total commuters (in thousands) | Percent | Margin of error (+/-) | Percent | Margin of error (+/-) | Percent | Margin of error (+/-) | Percent | Margin of error (+/-) | Percent | Margin of error (+/-) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Education and health care | 29,921 | 80.9 | 0.1 | 9.4 | 0.1 | 4.8 | 0.1 | 3.5 | 0.1 | 1.4 | 0.1 |
| Finance and insurance | 8,933 | 80.9 | 0.2 | 7.2 | 0.1 | 8.2 | 0.2 | 2.7 | 0.1 | 1 | 0.1 |
| Manufacturing | 14,086 | 83.3 | 0.2 | 11.3 | 0.2 | 2.5 | 0.1 | 1.4 | 0.1 | 1.5 | 0.1 |
| Public administration | 6,589 | 82.1 | 0.2 | 8.9 | 0.2 | 6.4 | 0.2 | 1.4 | 0.1 | 1.3 | 0.1 |
| Retail trade | 15,493 | 81.5 | 0.2 | 9.1 | 0.1 | 4.4 | 0.1 | 3.3 | 0.1 | 1.7 | 0.1 |
| Scientific and management | 13,301 | 76.6 | 0.2 | 10.9 | 0.2 | 8 | 0.1 | 2.5 | 0.1 | 2.1 | 0.1 |
| Transportation and warehousing | 6,683 | 83.7 | 0.2 | 8.3 | 0.2 | 3.8 | 0.1 | 1.3 | 0.1 | 3 | 0.1 |
| Construction | 8,841 | 75.1 | 0.3 | 18.5 | 0.3 | 2.9 | 0.1 | 1.4 | 0.1 | 2.1 | 0.1 |
| Entertainment and recreation | 12,281 | 72.3 | 0.3 | 12.0 | 0.2 | 7.4 | 0.2 | 5.6 | 0.1 | 2.7 | 0.1 |
| Other services | 6,449 | 77.6 | 0.3 | 10.4 | 0.2 | 5.9 | 0.2 | 4.3 | 0.1 | 1.8 | 0.1 |
| Wholesale trade | 3,802 | 84.4 | 0.3 | 9.4 | 0.3 | 3.2 | 0.2 | 1.6 | 0.1 | 1.4 | 0.1 |
| Information | 2,952 | 79.1 | 0.4 | 8.1 | 0.3 | 8.2 | 0.3 | 2.7 | 0.2 | 1.9 | 0.1 |
| Agriculture, forestry, and mining | 2,168 | 72.4 | 0.7 | 17.0 | 0.5 | 1.9 | 0.2 | 5.3 | 0.2 | 3.4 | 0.3 |
| Armed forces | 1,174 | 74.4 | 0.9 | 10.9 | 0.6 | 1.5 | 0.2 | 10.1 | 0.7 | 3.1 | 0.3 |
Consider the following statements. On the basis of the data provided, indicate whether each statement is true or false.
| True | False | |
| The median margin of error for walking is larger than the mode margin of error for walking. | ||
| Assuming actual values are within the margin of error, it is possible that a larger proportion of people drove alone to work in the armed forces than drove alone to work in construction. | ||
| The listed industry with the largest overall margin of error relative to its own total commuters is agriculture, forestry, and mining. |
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Official Answer
The median margin of error for walking is larger than the mode margin of error for walking.: False
Assuming actual values are within the margin of error, it is possible that a larger proportion of people drove alone to work in the armed forces than drove alone to work in construction.: True
The listed industry with the largest overall margin of error relative to its own total commuters is agriculture, forestry, and mining.: False
08 Mar 2015, 18:30
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hi vinay,
the third question talks of two things..
1) overall error of margin... it will be equal to the sum of (all margin error *respective percentage*total strength)
2) relative to its own total customer base... it means we are interested in only the percentage and not number..
combine the two ..... now it means the sum of (all margin error *respective percentage)....
if we look at the armed forces right below it(also provided in OE), you can see it has higher margin of error and higher % in each category so atleast armed forces has 'the overal margin.......customer base' more than agriculture ,so false...
the third question talks of two things..
1) overall error of margin... it will be equal to the sum of (all margin error *respective percentage*total strength)
2) relative to its own total customer base... it means we are interested in only the percentage and not number..
combine the two ..... now it means the sum of (all margin error *respective percentage)....
if we look at the armed forces right below it(also provided in OE), you can see it has higher margin of error and higher % in each category so atleast armed forces has 'the overal margin.......customer base' more than agriculture ,so false...
08 Feb 2024, 19:26
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chetan2u
Hi chetan2u ! Just wanted to check a small doubt of mine. Here margin of error mentioned in the graph has units in %age, right? That's why u r multiplying it with respective percentage*total strength, right?
