**(a) Explain 3 methods of obtaining data from sampling?** Sampling is an integral part of data collection in research and statistics. The three commonly used methods for obtaining data from sampling include: 1. **Random Sampling**: This method involves selecting a sample from a larger population in such a way that each member has an equal chance of being chosen. Random sampling is often used to ensure that the sample represents the population without bias. 2. **Systematic Sampling**: In this method, researchers select every nth individual from the population list. For example, every 10th person in a list may be chosen. This is a straightforward technique that ensures a sample spread across the population. 3. **Stratified Sampling**: This approach divides the population into smaller groups, or strata, based on shared characteristics. Samples are then taken from each stratum. This method ensures representation from each subgroup, enhancing the accuracy of the results. **(b) What are two important aspects of gathering data from experiments?** Conducting experiments carefully is crucial to obtaining reliable data. Two important aspects include: 1. **Control**: Maintaining control over variables is essential. Ensuring that all other variables except the one being tested are kept constant allows for accurate assessment of the experiment's impact. 2. **Replication**: Repeating the experiment multiple times helps verify that results are consistent and not due to random chance or uncontrolled variables. Replication enhances the validity and reliability of the findings.
**(a) Explain 3 methods of obtaining data from sampling?** Sampling is an integral part of data collection in research and statistics. The three commonly used methods for obtaining data from sampling include: 1. **Random Sampling**: This method involves selecting a sample from a larger population in such a way that each member has an equal chance of being chosen. Random sampling is often used to ensure that the sample represents the population without bias. 2. **Systematic Sampling**: In this method, researchers select every nth individual from the population list. For example, every 10th person in a list may be chosen. This is a straightforward technique that ensures a sample spread across the population. 3. **Stratified Sampling**: This approach divides the population into smaller groups, or strata, based on shared characteristics. Samples are then taken from each stratum. This method ensures representation from each subgroup, enhancing the accuracy of the results. **(b) What are two important aspects of gathering data from experiments?** Conducting experiments carefully is crucial to obtaining reliable data. Two important aspects include: 1. **Control**: Maintaining control over variables is essential. Ensuring that all other variables except the one being tested are kept constant allows for accurate assessment of the experiment's impact. 2. **Replication**: Repeating the experiment multiple times helps verify that results are consistent and not due to random chance or uncontrolled variables. Replication enhances the validity and reliability of the findings.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Transcribed Image Text:**(a) Explain 3 methods of obtaining data from sampling?**
Sampling is an integral part of data collection in research and statistics. The three commonly used methods for obtaining data from sampling include:
1. **Random Sampling**: This method involves selecting a sample from a larger population in such a way that each member has an equal chance of being chosen. Random sampling is often used to ensure that the sample represents the population without bias.
2. **Systematic Sampling**: In this method, researchers select every nth individual from the population list. For example, every 10th person in a list may be chosen. This is a straightforward technique that ensures a sample spread across the population.
3. **Stratified Sampling**: This approach divides the population into smaller groups, or strata, based on shared characteristics. Samples are then taken from each stratum. This method ensures representation from each subgroup, enhancing the accuracy of the results.
**(b) What are two important aspects of gathering data from experiments?**
Conducting experiments carefully is crucial to obtaining reliable data. Two important aspects include:
1. **Control**: Maintaining control over variables is essential. Ensuring that all other variables except the one being tested are kept constant allows for accurate assessment of the experiment's impact.
2. **Replication**: Repeating the experiment multiple times helps verify that results are consistent and not due to random chance or uncontrolled variables. Replication enhances the validity and reliability of the findings.
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