Podcast
Questions and Answers
Purposive Sampling is about selecting samples from the overall sample size based on the judgment of the ______.
Purposive Sampling is about selecting samples from the overall sample size based on the judgment of the ______.
survey taker or researcher
Sampling units are selected according to the ______ in Purposive Sampling.
Sampling units are selected according to the ______ in Purposive Sampling.
purpose
Convenience Sampling is a technique where the researcher chooses participants based on their ______ availability.
Convenience Sampling is a technique where the researcher chooses participants based on their ______ availability.
physical
In Snowball Sampling, ______ participants help recruit future subjects for a study.
In Snowball Sampling, ______ participants help recruit future subjects for a study.
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Every tenth person boarding a plane was given a questionnaire, this is an example of ______ sampling.
Every tenth person boarding a plane was given a questionnaire, this is an example of ______ sampling.
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The first 20 people who passed by were chosen to review the taste of the chocolate bar, this is an example of ______ sampling.
The first 20 people who passed by were chosen to review the taste of the chocolate bar, this is an example of ______ sampling.
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All the names of the parents were placed in a basket, then 20 were selected to join the activity, this is an example of ______ sampling.
All the names of the parents were placed in a basket, then 20 were selected to join the activity, this is an example of ______ sampling.
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A researcher uses Stratification to divide the population into ______ groups based on certain characteristics.
A researcher uses Stratification to divide the population into ______ groups based on certain characteristics.
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In __________ Sampling, the sample is divided into smaller sub-groups known as 'strata'.
In __________ Sampling, the sample is divided into smaller sub-groups known as 'strata'.
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Stratification is used to ensure that each __________ of interest is represented in the sample.
Stratification is used to ensure that each __________ of interest is represented in the sample.
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In __________ Sampling, a sample is drawn from a population using smaller and smaller groups at each stage.
In __________ Sampling, a sample is drawn from a population using smaller and smaller groups at each stage.
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A __________ is a subset of the population being sampled.
A __________ is a subset of the population being sampled.
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Stratification enables researchers to obtain a sample that __________ represents the entire population.
Stratification enables researchers to obtain a sample that __________ represents the entire population.
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The population is divided into smaller groups before drawing a random sample in __________.
The population is divided into smaller groups before drawing a random sample in __________.
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The sample is drawn from a population using a series of stages in __________ Sampling.
The sample is drawn from a population using a series of stages in __________ Sampling.
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The sample size is determined by the proportion of the population in __________ Sampling.
The sample size is determined by the proportion of the population in __________ Sampling.
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The ______________ level is sometimes called as the risk level.
The ______________ level is sometimes called as the risk level.
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In a normal distribution, approximately __________________ of the sample values are within 2 standard deviations of the true population value.
In a normal distribution, approximately __________________ of the sample values are within 2 standard deviations of the true population value.
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The range in which the true value is estimated to be is also referred to as the __________________ sampling error.
The range in which the true value is estimated to be is also referred to as the __________________ sampling error.
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The degree of __________________ is also referred to as spread, scatter, or dispersion.
The degree of __________________ is also referred to as spread, scatter, or dispersion.
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The __________________ is the difference between the highest and lowest values.
The __________________ is the difference between the highest and lowest values.
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The __________________ is the average distance from the mean.
The __________________ is the average distance from the mean.
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The __________________ is the average of squared distances from the mean.
The __________________ is the average of squared distances from the mean.
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Using __________________ random samples, you collect data from 3 groups.
Using __________________ random samples, you collect data from 3 groups.
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Study Notes
Sampling Techniques
- Stratified Sampling: dividing a population into smaller sub-groups (strata) based on characteristics such as age, gender, religion, etc. to obtain a sample that best represents the entire population.
Stratification
- Divide the sample into subgroups before drawing random samples
- Level and total number of samples are taken into account to ensure proportional representation
Multistage Sampling
- Drawing a sample from a population using smaller and smaller groups at each stage
- Example: selecting 50 responses per city from a larger population
Purposive Sampling
- Selecting samples based on the judgment of the survey taker or researcher
- Biased estimate, only suitable for specific purposes
Snowball Sampling
- Non-probability sampling method where current participants help recruit future subjects
- Used when finding participants is difficult
- Example: asking individuals to name influential people in their community for a study on leadership patterns
Sampling Error and Confidence Level
- Level of precision: the range in which the true value is estimated to be (e.g., ±5%)
- Confidence level: the risk level, where 95% is a common standard
- Confidence level determines the sample size required to achieve a certain level of precision
Variability
- Measured by range, interquartile range, standard deviation, and variance
- Variability in normal distributions follows a bell-shaped curve
- Example: phone usage times among different groups of people, with varying levels of variability
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Description
Learn about stratified sampling, a method of sampling that divides a population into smaller sub-groups known as 'strata'. Understand the concept of strata in statistics.
