Mathematics in the modern world

69問 • 1年前

ユーザ名非公開

通報

問題一覧

Well defined collection of distinct objects

Set

Objects that make up a set.

Elements

Elements in the given set are listed, enumerated, separated by a comma, inside a pair of braces

Roaster/Tabular Method

Common characteristics of the elements are defined. This method users set builder notation where x is used to represent any elemeng of the given set

Rule/Descriptive Method

Has no elements and denotes by or by a pair of braces with no elements inside

Empty/Null/Void Set

Has countVle number of elements

Finite Set

Has uncountavle number of elements

Infinite Set

Totality of all the elements of the sets, denoted by U

Universal Set

Sets that have the same elements

Equal Sets

Sets that have same number of elements(equal sets are equivalent sets but not all equivalent sets are equal)

Equivalent Sets

Sets that have least one common element

Joint sets

Sets that have no common element

Disjoint Sets

A set every element which can be found on a second set. The symbol means a “subset of”

Subset

First set is equal to the second set, symbol used

Improper Subset

Other than the set itself and null set, all are considered proper

Proper Subset

Set containing all the subsets of a given set with an element with 2 number of elements

Power set

It is the most commonly used measure of central tendency

Arithmetic Mean

It is the middle number of the mean of the two middle numbers in a list of numbers that have been arranged in numerical order from the smallest to largest or vice versa

Median

The number that occurs frequently

Mode

A value that is often used when some data values are more important than others

Weighted Mean

The difference between the maximum and minimum values in a data set

Range

The average squared difference of the observations from the mean

Variance

The average deviation of the observations from the mean

Standard Deviation

A relative measure that indicates the magnitude of variation relative to the magnitude of the mean expressed in percent

Coefficient of Variation

The basics in mathematics

Arithmetic

Combine with variable (x,y)

Algebra

Triangles, angles (cos,sin)

Trigonometry

Study of shapes

Geometry

Mean, median, mode

Statistics

Differentiation or integration in mathematics

Calculus

Regular, repeated, or recurring forms or designs

Patterns

An ordered list of numbers, called terms, that may have repeated values. The arrangement of these terms is set by a definite rule

Sequence

Multiplying the same value in mathematics

Geometric

2nd difference is the same

Quadratic

Start with 0 and 1, add 2 numbers that same before the term

Fibonacci

Addinh the same value

Arithmetic

More than 1 operation in mathematics

Mixed

It is the branch of mathematics dealing with thw collection, organization, presentation, analysis and interpretation of data

Statistics

It is the study of relationships among numbers, quantities and shapes

Mathematics

Can generate patterns by performing one or several mathematical operations repeatedly

The Fibonacci Sequence

Deals wity tye method of organizing, summarazing and presenting data

Descriptive statistics

Concerned with making generalizations about the characteristics of a larger set where only a part examined

Inferential statistics

Collection of all the elements under consideration in a statistical study

Population

A part of subset of the population from which the information is collected (representative of a population)

Sample

Any numerical value describing the characteristic of a population

Parameter

Any numerical value descring the characteristics of sample

Statistic

A characteristic or attribute of persons or objects which can assume different values or label for different persons or objects under construction

Variable

Yields categorical responses (labels, characteristics qualities)

Qualitative Variable

Takes on numerical values representing a amount or quantity

Quantitative Variable

Finite or countable number of possible values

Discrete Quantitative Variable

Can assume infinitelu many values correspondimg to a line interval

Continuous Quantitative Variable

Process of determining the value or label of particular variable

Measurement

Data collected are labels, names or categories

Nominal

Data collected are labels with implied ordering example rankings, yr level or sizes

Ordinal

Data may lack of absolute zero point (may value ‘yung 0)

Interval

The number “0” indicates the absence of the characteristics (walang 0 talaga) example tempt ni kelvin (no heat)

Ratio

Used to summarize both qualitative and quantitative data

Frequency Distribution Table

Set of data in its original form

Raw data

Arrangement of observations according to manitude, either in increasing or decreasing order

Array

Mutually exclusive categories defining the lower limit and upper limit

Classes

End numbers of the class

Class limits

Number of observations falling in the class

Class frequency

True class limits

Class Boundaries

Halfway between the lower limit of class and upper class limit of the preceding class

Lower Class Boundary (LCB)

Halfway between the upper class limit of the class and the lower class limit of the next class

Upper Class Boundary (UCB)

Midpoint of the class interval

Class Mark

Tells the percentage of the observations in particular class of interest

Relative Frequency

Total number of observations less than UCB

Less than Cumulative Frequency

Total number of observations greater than LCB

Greater than Cumulative Frequency

pr2

pr2

gen chem

gen chem

UCSP

UCSP

MIL

MIL

pagbasa

pagbasa

pagbasa

pagbasa

physics

physics

the human body study

the human body study

Theoretical foundation of nursing

ユーザ名非公開 · 43問 · 1年前

Theoretical foundation of nursing

43問 • 1年前

ユーザ名非公開

Science Technology and Society

ユーザ名非公開 · 28問 · 1年前

Science Technology and Society

MST

MST

UTS

UTS

PURCOM

PURCOM

KOMFIL

KOMFIL

UTS

UTS

KOMFIL (2.0)

KOMFIL (2.0)

問題一覧

Well defined collection of distinct objects

Set

Objects that make up a set.

Elements

Elements in the given set are listed, enumerated, separated by a comma, inside a pair of braces

Roaster/Tabular Method

Common characteristics of the elements are defined. This method users set builder notation where x is used to represent any elemeng of the given set

Rule/Descriptive Method

Has no elements and denotes by or by a pair of braces with no elements inside

Empty/Null/Void Set

Has countVle number of elements

Finite Set

Has uncountavle number of elements

Infinite Set

Totality of all the elements of the sets, denoted by U

Universal Set

Sets that have the same elements

Equal Sets

Sets that have same number of elements(equal sets are equivalent sets but not all equivalent sets are equal)

Equivalent Sets

Sets that have least one common element

Joint sets

Sets that have no common element

Disjoint Sets

A set every element which can be found on a second set. The symbol means a “subset of”

Subset

First set is equal to the second set, symbol used

Improper Subset

Other than the set itself and null set, all are considered proper

Proper Subset

Set containing all the subsets of a given set with an element with 2 number of elements

Power set

It is the most commonly used measure of central tendency

Arithmetic Mean

It is the middle number of the mean of the two middle numbers in a list of numbers that have been arranged in numerical order from the smallest to largest or vice versa

Median

The number that occurs frequently

Mode

A value that is often used when some data values are more important than others

Weighted Mean

The difference between the maximum and minimum values in a data set

Range

The average squared difference of the observations from the mean

Variance

The average deviation of the observations from the mean

Standard Deviation

A relative measure that indicates the magnitude of variation relative to the magnitude of the mean expressed in percent

Coefficient of Variation

The basics in mathematics

Arithmetic

Combine with variable (x,y)

Algebra

Triangles, angles (cos,sin)

Trigonometry

Study of shapes

Geometry

Mean, median, mode

Statistics

Differentiation or integration in mathematics

Calculus

Regular, repeated, or recurring forms or designs

Patterns

An ordered list of numbers, called terms, that may have repeated values. The arrangement of these terms is set by a definite rule

Sequence

Multiplying the same value in mathematics

Geometric

2nd difference is the same

Quadratic

Start with 0 and 1, add 2 numbers that same before the term

Fibonacci

Addinh the same value

Arithmetic

More than 1 operation in mathematics

Mixed

It is the branch of mathematics dealing with thw collection, organization, presentation, analysis and interpretation of data

Statistics

It is the study of relationships among numbers, quantities and shapes

Mathematics

Can generate patterns by performing one or several mathematical operations repeatedly

The Fibonacci Sequence

Deals wity tye method of organizing, summarazing and presenting data

Descriptive statistics

Concerned with making generalizations about the characteristics of a larger set where only a part examined

Inferential statistics

Collection of all the elements under consideration in a statistical study

Population

A part of subset of the population from which the information is collected (representative of a population)

Sample

Any numerical value describing the characteristic of a population

Parameter

Any numerical value descring the characteristics of sample

Statistic

A characteristic or attribute of persons or objects which can assume different values or label for different persons or objects under construction

Variable

Yields categorical responses (labels, characteristics qualities)

Qualitative Variable

Takes on numerical values representing a amount or quantity

Quantitative Variable

Finite or countable number of possible values

Discrete Quantitative Variable

Can assume infinitelu many values correspondimg to a line interval

Continuous Quantitative Variable

Process of determining the value or label of particular variable

Measurement

Data collected are labels, names or categories

Nominal

Data collected are labels with implied ordering example rankings, yr level or sizes

Ordinal

Data may lack of absolute zero point (may value ‘yung 0)

Interval

The number “0” indicates the absence of the characteristics (walang 0 talaga) example tempt ni kelvin (no heat)

Ratio

Used to summarize both qualitative and quantitative data

Frequency Distribution Table

Set of data in its original form

Raw data

Arrangement of observations according to manitude, either in increasing or decreasing order

Array

Mutually exclusive categories defining the lower limit and upper limit

Classes

End numbers of the class

Class limits

Number of observations falling in the class

Class frequency

True class limits

Class Boundaries

Halfway between the lower limit of class and upper class limit of the preceding class

Lower Class Boundary (LCB)

Halfway between the upper class limit of the class and the lower class limit of the next class

Upper Class Boundary (UCB)

Midpoint of the class interval

Class Mark

Tells the percentage of the observations in particular class of interest

Relative Frequency

Total number of observations less than UCB

Less than Cumulative Frequency

Total number of observations greater than LCB

Greater than Cumulative Frequency