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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 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 the main purpose of descriptive statistics?
Descriptive statistics is the branch of statistics concerned with the collection, organization, summation and presentation of data.
What is statistics and its role in society?
Statistics can be defined as the collection of , analysing of, and interpreting of data for the purpose of making useful decision. The major role of statistics in the society is that it presents data in a precise and simple form.
What is the most important issue in the data collection phase of research?
Consistency of data collection.
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
The classification and collection of data that are in the form of numbers is called?
Statistics
What is the collection display and analysis of data?
Statistics
What are statistics in math?
"Statistics is the study of the collection, organization, analysis, and interpretation of data." (Wikipedia)
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 the branch of math concerned with collection interpretation of data?
STATISTICS
What is the importance of statistics in research?
Ø Statistics is the science of collection, analysis, interpretation or explanation, and presentation of data. It has wide usage in the field of research. In fact all the data collection and interpretation techniques used in Research are part of statistics. Ø It makes use of descriptive statistics for collection of data and inferential statistics for drawing inferences from this set of data. Ø The subject called research statistics & statistics is very important in research because that is the backbone of your research. Ø The Numbers gives an easy idea of how you conducted your research. Ø Statistics provides a platform for research as to; How to go about your research, either to consider a sample or the whole population, the Techniques to use in data collection and observation, how to go about the data description (using measure of central tendency). Ø To wrap it up, statistics as a science of data collection, analysis, interpretation, explanation and presentation will guide you in research for proper characterization, summarization, presentation and interpretation of your research result for proper action.
What is the main purpose of descriptive statistics?
Descriptive statistics is the branch of statistics concerned with the collection, organization, summation and presentation of data.
What is the basic statistics?
Basic Statistics deals with the collection, organization, analysis, interpretation and presentation of quantitative data.
Why collection data is important?
data collection is something that you put your work in and saves your data
What is descriptive mean?
descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive statistics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.
What do statistical mean?
descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive statistics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.
