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Question 8
Which of the following statements accurately describe sample size, population, and confidence level? Select all that apply.
The goal of random sampling is to ensure every possible type of the sample has an equal chance of being chosen.
For effective outcomes, a data professional aims for a high confidence level in their sample.
A confidence level of 75% is considered ideal by most industries.
Using sample size makes it possible to get enough information from a small group within a population to draw conclusions about the whole population.
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2 and 4.
- 2 is true: data professionals generally aim for a high confidence level (commonly 95% or 99%) to be reasonably sure results reflect the population.
- 4 is true: an appropriately sized, representative sample lets you draw conclusions about the whole population.
Statements 1 and 3 are incorrect: 1 is misstated (random sampling aims to give each population member — or each possible sample in simple random sampling — an equal chance, not “every possible type of the sample”), and 3 is false because 75% is usually too low for most applications.
- 2 is true: data professionals generally aim for a high confidence level (commonly 95% or 99%) to be reasonably sure results reflect the population.
- 4 is true: an appropriately sized, representative sample lets you draw conclusions about the whole population.
Statements 1 and 3 are incorrect: 1 is misstated (random sampling aims to give each population member — or each possible sample in simple random sampling — an equal chance, not “every possible type of the sample”), and 3 is false because 75% is usually too low for most applications.
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