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Pregunta 1
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It is the branch of science and mathematics that deals with the collection, organization, or presentation, interpretation, and analysis of data.
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Statistics
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Engineering
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Innovation
Pregunta 2
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Why study statistics?
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Data are everywhere
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Statistical techniques are used to make many decisions that affect our lives
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No matter what your career, you will make professional decisions that involve data. An understanding of statistical methods will help you make these decisions effectively
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All of the choices
Pregunta 3
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Branches / Areas of Statistics:
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Inferential
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Descriptive
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Differential
Pregunta 4
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It is a statistical procedure concerned with describing characteristics and properties of a group of persons, places, or things.
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Inferential Statistics
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Descriptive Statistics
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Probability and Statistics
Pregunta 5
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It is a statistical procedure that is used to draw inferences or information about the properties or characteristics by a large group of people, places or things on the basis of the information obtained from a small portion of a large group.
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Probability and Statistics
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Inferential Statistics
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Descriptive Statistics
Pregunta 6
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The collection of all individuals, items, or data under consideration in a statistical study.
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Population
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Sample
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Data
Pregunta 7
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That part of the population from which information is collected.
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Population
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Sample
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Data
Pregunta 8
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These are facts, or a set of information or observation under study
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Data
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Population
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Sample
Pregunta 9
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In statistics, it is the characteristic, property or attribute that makes members of a group vary.
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Data
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Sample
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Variables
Pregunta 10
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Classification of Variables:
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Quantitative
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Qualitative
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Infinite
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Finite
Pregunta 11
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In statistics, it is the characteristic, property or attribute that makes members of a group uniform.
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Variables
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Constant
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Population
Pregunta 12
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Categories of Data:
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Quantitative data
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Qualitative Data
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Descriptive
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Inferential
Pregunta 13
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These category of data are data when the information have been sorted into categories.
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Quantitative
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Qualitative
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Inferential
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Descriptive
Pregunta 14
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These category of data are data which are numerical in nature.
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Quantitative
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Qualitative
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Inferential
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Descriptive
Pregunta 15
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A Quantitative data wherein its data are obtained from counting.
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Discrete quantitative data
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Continuous quantitative data
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Discrete qualitative data
Pregunta 16
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A quantitative data wherein its data are obtained from measuring.
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Discrete quantitative data
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Discrete qualitative data
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Continuous quantitative data
Pregunta 17
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A type of variable classification based on how the variables are categorized, counted, or measured.
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Scales of Measurement
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Quantitative
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Qualitative
Pregunta 18
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A scale of measurement that applies to data that consist of names, labels, or categories only and data cannot be arranged in an ordering or scheme (such as low to high)
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Nominal
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Ordinal
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Interval
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Ratio
Pregunta 19
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A scale of measurement that ranks the data from smallest to largest or different ranks of classes but the differences between data values either cannot be determined or are meaningless
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Nominal
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Ordinal
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Interval
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Ratio
Pregunta 20
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A scale of measurement wherein the data can be ordered or difference can be taken.
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Nominal
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Ordinal
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Interval
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Ratio
Pregunta 21
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A scale of measurement wherein the data can be ordered. Differences can be taken. At this level, it makes sense to compare the differences between data values.
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Nominal
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Ordinal
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Interval
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Ratio
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