Sampling Bias IELTS Reading Answers
Sampling Bias IELTS Reading Answers
The Academic passage ‘Sampling Bias’ is a reading passage that appeared in an IELTS Test. Read the passage below and answer questions 14 – 26. Beyond the questions, you will find the answers along with the location of the answers in the passage and the keywords that help you find out the answers.
Sampling Bias
Answers
| Question number | Answer | Keywords | Location of keywords |
|---|---|---|---|
| 14 | NOT GIVEN | – | – |
| 15 | TRUE | Surveys, for example, are popular because they are easy to administer and relatively cost-effective, particularly if conducted remotely through technical means, such as telephone, | Paragraph B;
Line 1 |
| 16 | FALSE | Such surveys, however, have proven notoriously unreliable because of the difficulty in obtaining representative samples. | Paragraph B;
Line 5 |
| 17 | TRUE | Those that answer will more likely be the unemployed, disabled, elderly, and retired, | Paragraph C;
Line 4 |
| 18 | FALSE | This allows easy collation, analysis, and presentation of results, all with the air of precision that mathematics brings. | Paragraph B;
Line 4 |
| 19 | self-selection | One of the more subtle of sampling biases is known as self-selection. | Paragraph D;
Line 1 |
| 20 | Opinionated perspectives | opinionated perspectives are disproportionately represented. | Paragraph D;
Last line |
| 21 | Maximise (the) | The latter is such an immediate and obvious problem that it has given rise to techniques to maximise the possibility of garnering responses. | Paragraph E;
Line 1 |
| 22 | Sufficiently trained | The interviewers themselves must be sufficiently trained in correct question-asking techniques, | Paragraph E;
Last line |
| 23 | introduction | interviewers must provide introductions about themselves, their company, and the nature of the interview, fully and with evident sincerity, | Paragraph E;
Last line |
| 24 | trust | interviewers must provide introductions about themselves, their company, and the nature of the interview, fully and with evident sincerity, in order to gain the trust of those they are talking to. | Paragraph E;
Last line |
| 25 | B | Even with this, sampling bias can easily arise due to the number of variables in place, since it only takes one to skew the data. | Paragraph F;
Line 1 |
| 26 | C | mathematical extrapolations to correct the bias. For this to work, the degree of underrepresentation needs to be quantified exactly, | Paragraph G;
Lines 1- 2 |
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