Suppose the age distribution in a city is as follows. Under 18 24% 18–25 16% 26–50 34% 51–65 8% Over 65 18% A researcher is conducting proportionate stratified random sampling with a sample size of 200. Approximately how many people should he sample from each stratum?
Number of people Under 18
enter a number of people 18–25
enter a number of people 26–50
enter a number of people 51–65
enter a number of people Over 65
Solution:
Given:
Age groups | Proportion |
Under 18 | 24% |
18–25 | 16% |
26–50 | 34% |
51–65 | 8% |
Over 65 | 18% |
A researcher is conducting proportionate stratified random sampling with a sample size of 200.
Since it is proportionate stratified random sampling, so to get sample from each stratum , we multiply each % by 200.
thus we get:
Age groups | Proportion | Calculations: | Sample Size in each stratum |
Under 18 | 24% | 24% of 200= | 48 |
18–25 | 16% | 16% of 200= | 32 |
26–50 | 34% | 34% of 200= | 68 |
51–65 | 8% | 8% of 200= | 16 |
Over 65 | 18% | 18% of 200= | 36 |
200 |
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