問題一覧
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A branch of Mathematics that deals with scientific collection, presentation, analysis, and interpretation of numerical data in order to obtain useful and meaningful information.
Statistics
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Values that the variable can assume.
Data Values
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Consist of all subject that are being studied.
Population
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collection of data values
Data Set
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A group of subjects selected from a population
Sample
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Measure used to describe the population.
Parameter
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A type of Statistics that consist of collection, organization, summarization and presentation of data.
Descriptive Statistics
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Quantitative Data that are countable using a finite count, such as 0, 1, 2 and so on.
Discrete Data
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Type of Data where variables are placed into distinct categories according to some characteristic or attribute. It consist of labels, category names, and such for which representation on a numerical scale is not naturally meaningfully.
Qualitative Data
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Characteristics or attribute that can assume different values.
Variable
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Measure computed from sample data.
Statistic
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A person who is trained in collecting numerical information
Statistician
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A set of procedures and rules for reducing large masses of data into manageable proportions allowing us to draw conclusions.
Statistics
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Data that can be numerical and can be ordered.
Quantitative Data
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Quantitative Data that can take on any value within a range of values on a numerical scale.
Continuous Data
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Lowest level of data
Nominal
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Level that characterized by data consist of names, labels or categories only and cannot be arrange in ordering scheme.
Nominal Scale
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Highest level of measurement.
Ratio Scale
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Characterized by data that can be ranked.
Ordinal Scale
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All of the subjects of interest.
Population
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The process of selecting the individuals from the population that makes up the sample
Sampling
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Nonstatistical Sampling which is collected in the most convenient manner for the Researcher.
Convenience
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items of the sample are chosen based on known or calculable probabilities
Statistical Sampling
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Divide population into subgroups.
Stratified Random Sampling
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Randomly select one individual from the 1st group.
Systematic Random Sampling
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Which is true about "Why sample?"
Less time consuming