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What are the advantages and disadvantages of data collection methods in statistics?
There are both advantages and disadvantages of data collection methods in statistics. The main advantages are the metrics and correlation one can draw from statistics. The disadvantages stem from sampling errors.
When is census necessary instead of sampling?
census is conducted for group data so if it is a sampling data is taken it would lead to lot of non sampling errors
Why are random samples so important in Statistics?
Statistics is the science of making effective use of numerical data relating to groups of individuals or experiments sampling is an important to statistics because It deals with all aspects of this including not only the collection analysis and interpretation of such data but also the planning of the collection of data -SDOT15DELEON
What is a statistic value?
1. (used with a sing. verb) The mathematics of the collection, organization, and interpretation of numerical data, especially the analysis of population characteristics by inference from sampling.2. (used with a pl. verb) Numerical data.
In basic statistics what is sample size and effective sample size?
sample size refers to the collection of data by only a selected size of te population through the process of sample surveys and sampling methods used in collecting data.
What is the importance of combining different data collection techniques?
The importance of combining different data collection techniques balances the strengths and weaknesses of each other. It helps reduce non-sampling error and ensures improvement in data evaluation.
Disadvantage of secondary data?
Secondary data may not answer fully answer the research questions of a study. It is also hard to establish its validity, and if proper sampling and data collection methods were employed.
What are the advantages and disadvantages of data collection methods in statistics?
There are both advantages and disadvantages of data collection methods in statistics. The main advantages are the metrics and correlation one can draw from statistics. The disadvantages stem from sampling errors.
What is intentional Bias?
Unintentional bias means the source of the bias is in the data collection or sampling method. Its not done purposefully, but rather ignorantly.
What are the different advantages of Sampling?
Sampling allows researchers to collect data from a smaller subset of a population, saving time and resources. It can provide insights into the characteristics of a larger population without having to survey everyone. Additionally, sampling can reduce bias in data collection and improve the overall quality of research findings.
When is census necessary instead of sampling?
census is conducted for group data so if it is a sampling data is taken it would lead to lot of non sampling errors
Why are random samples so important in Statistics?
Statistics is the science of making effective use of numerical data relating to groups of individuals or experiments sampling is an important to statistics because It deals with all aspects of this including not only the collection analysis and interpretation of such data but also the planning of the collection of data -SDOT15DELEON
What is qualitative data sampling?
Qualitative data sampling involves selecting a subset of individuals, cases, or events that represent various perspectives and experiences relevant to the research question. This process helps researchers gather rich and in-depth information to analyze and interpret patterns, themes, and relationships. Sampling strategies in qualitative research may include purposeful sampling, snowball sampling, or random sampling techniques.
What are some of the sources of error in your analysis?
Some sources of error in analysis can include data collection inaccuracies, incomplete data, biased sampling methods, human error in data entry or analysis, and assumptions made during the analytical process.
What is a statistic value?
1. (used with a sing. verb) The mathematics of the collection, organization, and interpretation of numerical data, especially the analysis of population characteristics by inference from sampling.2. (used with a pl. verb) Numerical data.
What is bias sample?
Sampling bias occurs when the sampling frame does not reflect the characteristics of the population which is being tested. Biased samples can result from problems with either the sampling technique or the data-collection method. Essentially, the group does not reflect the population which is supposed to be represented in the given survey or test. For example: If the question being asked in a survey was "do American's prefer Coca-Cola or Pepsi?" and all people asked were under 18 and from California, there would be a sampling bias as the sampling frame would not accurately represent "American's".
In basic statistics what is sample size and effective sample size?
sample size refers to the collection of data by only a selected size of te population through the process of sample surveys and sampling methods used in collecting data.
