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Q: Which is an ex sample of how mathematics may be used in the collection or evaluation of data?
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Which is an example of how mathematics may be used in the collection or evaluation of data?

Mathematics can be used to complete precise measurements that can be easily presented and evaluated in mathematical form.


Do measurements used in data collection involve the use of mathematics?

measurements used in data collection involve the use of mathematics


What is the process and step of evaluation?

Collection of data, consolidation of data, formulation of conclusion.


Mathematics is a part of scientific data collection?

Yeah


Which of the sources of data is not based on primary data collection?

national sample survey


The purposeful collection of data from a variety of sources for the purpose of rendering a judgment is called?

evaluation


Is a census a collection of data based on a sample or the entire population?

The entire population.


Is a biased sample valid?

No because in statistics a biased collection of data is invalid.


What are the stages of evaluation?

The stages of evaluation typically include planning, data collection, analysis, and reporting. Planning involves setting goals and determining methods, data collection involves gathering relevant information, analysis involves examining the data to draw conclusions, and reporting involves presenting findings and recommendations.


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 are the steps for carrying out an impact evaluation?

Define the evaluation objectives and research questions. Select appropriate evaluation methods and data collection techniques. Collect and analyze data to assess the intervention's impact. Interpret the findings and communicate results to stakeholders.


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.