1. Representation: A larger sample size in a study increases the chances of the sample accurately representing the population. If the sample size is too small, it may not capture the full spectrum of variability in the population, leading to biased results.

2. Reducing Error: A larger sample size can also reduce the margin of error in the study. The margin of error is a statistic expressing the amount of random sampling error in a survey's results. The larger the sample size, the smaller the margin of error, and the higher the reliability of the results.

3. Generalizability: Lastly, a larger sample size enhances the generalizability of the results. This means that the findings of the study can be applied to the larger population more confidently. If the sample size is small, it's harder to generalize the results because the sample might not adequately represent the broader population.

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1. Representation: A larger sample size in a study increases the chances of the sample accurately representing the population. If the sample size is too small, it may not capture the full spectrum of variability in the population, leading to biased results.

2. Reducing Error: A larger sample size can also reduce the margin of error in the study. The margin of error is a statistic expressing the amount of random sampling error in a survey's results. The larger the sample size, the smaller the margin of error, and the higher the reliability of the results.

3. Generalizability: Lastly, a larger sample size enhances the generalizability of the results. This means that the findings of the study can be applied to the larger population more confidently. If the sample size is small, it's harder to generalize the results because the sample might not adequately represent the broader population.

Knowee AI · Accepted Answer

1. Representation: A larger sample size in a study increases the chances of the sample accurately representing the population. If the sample size is too small, it may not capture the full spectrum of variability in the population, leading to biased results.

2. Reducing Error: A larger sample size can also reduce the margin of error in the study. The margin of error is a statistic expressing the amount of random sampling error in a survey's results. The larger the sample size, the smaller the margin of error, and the higher the reliability of the results.

3. Generalizability: Lastly, a larger sample size enhances the generalizability of the results. This means that the findings of the study can be applied to the larger population more confidently. If the sample size is small, it's harder to generalize the results because the sample might not adequately represent the broader population.

Explain one reason why sample size influences the reliability of research results.[3]

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