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What is the question. Sampling is data collection
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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 is qualitative data sampling?
It is a type of scientific study in which one seeks to find an answer to a question using predefined set of procedures. Qualitative data sampling involves collection of evidence and production of findings that were not considered previously in the study. It also explores beyond the immediate limits of the study involved.
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 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".
Collection of data what is?
data collection locations can include?
What is synoptic sampling?
Synoptic sampling is the collection of samples from many locations during a short period of time, typically a few hours.
