Random samples are a subset of a larger population chosen in a way that every individual has an equal chance of being selected. This ensures that the sample represents the population accurately.
Imagine you're at a pizza party and you want to know what everyone's favorite topping is. Instead of asking only your friends, you randomly select people from the entire party to get a fair representation of everyone's preferences.
Sampling Bias: When certain individuals or groups are more likely to be included in the sample than others, leading to an inaccurate representation.
Margin of Error: A measure that indicates how much random sampling variability there is in survey results.
Confidence Level: The level of certainty or reliability we have in the accuracy of survey results based on random sampling.
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