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NAME DATE PERIOD Lesson 2 Problem-solving Practice Unbiased and Biased Samples FUNDRAISING For Exercises 1 and 2, use the survey results in the table at the right. Members of the Drama Club plan to
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How to fill out unbiased and biased samples
How to fill out unbiased and biased samples
01
To fill out unbiased samples:
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Define the population of interest: Determine the group or population from which you want to collect data.
03
Select a sampling method: Choose a method to select individuals or items from the population. Common methods include random sampling, stratified sampling, and cluster sampling.
04
Determine the sample size: Decide how many individuals or items you need for your sample. The sample size should be large enough to provide accurate results.
05
Implement the sampling method: Follow the chosen sampling method to select individuals or items for your sample.
06
Collect data: Gather the necessary information from the selected individuals or items in your sample.
07
Analyze the data: Use appropriate statistical techniques to analyze the collected data and draw conclusions about the population.
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To fill out biased samples:
10
Identify your objective: Determine the specific information or outcome you are seeking through the sample.
11
Select a biased sampling method: Choose a sampling method that intentionally skews the selection process to favor certain individuals or items in the population. Examples include convenience sampling, quota sampling, and purposive sampling.
12
Determine the sample size: Decide how many individuals or items you need for your sample, considering the desired level of bias.
13
Implement the biased sampling method: Follow the chosen biased sampling method to select individuals or items for your sample, focusing on the desired characteristics or attributes.
14
Collect data: Gather the necessary information from the selected individuals or items in your sample.
15
Analyze the data: Use appropriate statistical techniques to analyze the collected data, keeping in mind the inherent bias introduced by the sampling method.
16
Interpret the findings: Consider the limitations and potential biases of the biased sample when interpreting the results.
Who needs unbiased and biased samples?
01
Unbiased samples are important for:
02
- Researchers and scientists who aim to accurately estimate population parameters without bias.
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- Pollsters and survey researchers who want to gather representative data that reflects the opinions and characteristics of the entire population.
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Biased samples may be relevant for:
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- Advertisers and marketers who want to target specific segments of the population with their products or services.
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- Qualitative researchers who seek in-depth understanding of certain individuals or groups within a population.
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- Those conducting pilot studies or exploratory research, where the focus is on generating initial insights rather than generalizing to the entire population.
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What is unbiased and biased samples?
Unbiased samples are taken randomly to represent the entire population without any preference or manipulation. Biased samples, on the other hand, are taken in a way that favors certain outcomes.
Who is required to file unbiased and biased samples?
Researchers, statisticians, and surveyors are required to file unbiased and biased samples when conducting studies or collecting data.
How to fill out unbiased and biased samples?
Unbiased samples are filled out by randomly selecting participants from the population. Biased samples are filled out by purposely selecting participants that may favor a certain outcome.
What is the purpose of unbiased and biased samples?
The purpose of unbiased samples is to accurately represent the entire population. Biased samples are used to support a specific agenda or viewpoint.
What information must be reported on unbiased and biased samples?
Unbiased samples should report the method of random selection and the characteristics of the participants. Biased samples should report the criteria used to select participants and any potential conflicts of interest.
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