MMW MIDTERM Flashcards

1
Q

set of ordered pairs.

A

relation

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2
Q

may have more than 1 output for any given input.

A

relation

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3
Q

The set whose elements are the first coordinates in the ordered pairs is the

A

domain

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4
Q

The set whose elements are the second coordinates is the

A

range

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5
Q

what are the 3 correspondence?

A

one is to many correspondence
one is to one correspondence
many is to one correspondence

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6
Q

can have no more than 1 output for any given input.

A

function

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7
Q

notion f(x)
The letter x

The letter y is replaced by f(x)

A

defines a function named f
represents the input value, or independent variable.
represents the output value, or dependent variable.

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8
Q

It involves only one value or accepts one value or operand.

A

unary operation

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9
Q

It can act on two operands “+” and “ – ”

A

binary operations

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10
Q

It takes two values and include the operations of addition, subtraction, multiplication, division and exponentiation.

A

binary operations

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11
Q

properties of two binary operations.

A

Closure of binary operations
commutativity of binary operations
Associativity of binary operations
Distributivity of binary operations
Identity elements of binary operations
Inverse of binary operations

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12
Q

the product and the sum of any two real numbers is also a real number
5+3 =8. 5x3=15

A

Closure of binary operations

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13
Q

Addition and multiplication of any two real numbers is commutative as seen in their mathematical symbols
x + y = y + x and x ● y = y ● x

A

Commutativity of Binary Operations

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14
Q

three real numbers you may take any two and perform addition or multiplication as the case maybe and you will end with the same answer.
(x+y)+z= x+ (y+z)

(4+5)+7=4+(5+7)
9+7=4+12
16=16

A

Associativity of Binary Operations

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15
Q

applies when multiplication is performed on a group of two numbers added or subtracted together.
z(x ± y) = zx ± zy

A

Distributivity of Binary Operations

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16
Q

set of real numbers is an identity element for addition/multiplication. this means that the identity is the number that you add to any real numbers and the result will be the same real number.

5+0=0+5=5 50x1=1x50=50
e- zero for addition, one for multiplication

A

Identity Elements of binary operations

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17
Q

x+(-x)=-x+x=0
4+(-4)=-4+4=0

A

inverse of binary operation
additive inverse/ reciprocal

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18
Q

4 operation of functions

A

sum of function
difference of function
product of function
quotient of function

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19
Q

father of problem

A

George polya(1887- 1985)

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20
Q

who strongly believed that the skill problem can be taught

A

George polya(1887-1985)

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21
Q

Polya’s Four-Step Problem Solving Strategy

A

Step 1 : Understand the problem.
Step 2 : Devise a plan.
Step 3: Carry out the plan.
Step 4: Review the solution

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22
Q

it is the process of translating a problem scenario into a drawing

A

strategy 1: draw a diagram, picture or model

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23
Q

data or information are organized by listing them or recording them systematically in tables.

The data are then analyzed to discover relationships and patterns and to draw out generalizations or solutions to the problem.

A

strategy 2: make a table or an organized list

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24
Q

Making a logical guess at the answer. The student learns more about the problem.

A

strategy: guess and check

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25
Q

Checking the guess.

A

strategy 3: guess and check

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26
Q

It is important that computation is accurate to avoid wastage of time and effort by making more guesses when in fact, the solution might have found some guesses before.st

A

strategy 3: guess and check

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27
Q

a strategy in which people physically act out what is taking place in a word problem.

A

strategy 4: act it out/ acting out a problem

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28
Q

One may use people or objects exactly as described in the problem, or you might use items that represent the people or objects.

A

strategy 4: act it out

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29
Q

people visualize and simulate the actions described in the problem.

A

strategy 4: act it out

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30
Q

method works well for problems where a series of operations is done on an unknown number and you’re only given the result.

A

strategy 5:word backwards

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31
Q

start with the result and apply the operations in reverse order until you find the starting number.

A

strategy 5:word backwards

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32
Q

Without mathematics, there’s nothing you can do.Everything around you is mathematics.Everything around you is numbers.”

A

shakuntala devi

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33
Q

It is a type of reasoning that uses specific examples to reach a general conclusion.

A

inductive reasoning

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34
Q

The conclusion formed by using inductive reasoning is called a

A

CONJECTURE

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35
Q

is an idea that may or may not be correct.

A

CONJECTURE

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36
Q

to a conjecture is an example for which the conjecture is incorrect

A

counterexample

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37
Q

a special kind of example that disproves a statement or proposition.

A

COUNTEREXAMPLE

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38
Q

It is a type of reasoning that uses general procedures and principles to reach a conclusion.

A

deductive reasoning

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39
Q

It is the process of reaching a general conclusion by applying general assumptions, procedures, or principles.

A

deductive reasoning

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40
Q

8 properties of equality

A

addition property of equality
subtraction property of equality
multiplication property of equality
division property of equality
reflexive property of equality
symmetric property of equality
transitive property of equality
substitution property of equality

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41
Q

a+c=b+c

A

addition property of equality

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42
Q

a-c=b-c

A

subtraction property of equality

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43
Q

ac=bc

A

multiplication property of equality

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44
Q

a/c=b/c

A

division property of equality

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45
Q

a=a

A

reflexive property of equality

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46
Q

if a=b, then b =a

A

symmetric property of equality]]]

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47
Q

if a=b and b=c, then a=c

A

transitive property of equality

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48
Q

if a=b, then b can be substituted for a in any expression

A

substitution property of equality

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49
Q

ax=b

A

closure property

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50
Q

can be solved by using deductive reasoning and a chart that enables us to display the given information in a visual manner.

A

Logic puzzles

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51
Q

Reaching conclusions based on a series of observations.

A

Inductive

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52
Q

Conjecture may or may not be valid or uncertain.

A

Inductive

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53
Q

Reaching conclusions based on previously known facts.

A

Deductive

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54
Q

Conjecture are correct and valid or certain.

A

Deductive

55
Q

Forms of Deductive Reasoning

A

Hypothetical syllogism
Categorical Syllogism

56
Q

if a statement p implies another statement q and p is true, then q must also be true

A

modus ponens

57
Q

opposite of modus ponens

A

modus tollens

58
Q

It is a type of deductive reasoning consisting of a conditional major premise, an unconditional minor premise, and an unconditional conclusion.

A

Hypothetical syllogism

59
Q

Premise 1-If p then q,
Premise 2-and p,(true)-This is called
Premise 3-Therefore, q.( True). This is called the

A
  • ( Conditional statement)
  • antecedent
  • consequent.
60
Q

valid argument form, meaning if the premises are true, then the conclusion must be true

A

modus ponens

61
Q

It is a form of deductive reasoning wherein a categorical conclusion is based on two categorical premises.

A

Categorical Syllogism

62
Q

There are four types of propositions that are used in the syllogism:

A

Positive Universal: “All A are B” Ex.All dogs are mammals.
Negative Universal: “No A are B” Ex. No dogs are fish.
Positive Existential: “Some A are B” Ex. Some dogs are brown.
Negative Existential: “Some A are not B”. Ex.Some dogs are not brown.

63
Q

three types of propositions will be used to create an argument

A

Major premise (universal quantifier)
Minor premise (existential quantifier)
Conclusion (universal or existential)

64
Q

-a general statement about a category of things.

A

Major premise (universal quantifier)

65
Q

a statement about a specific member or subset of that category.

A

Minor premise (existential quantifier)-

66
Q

A statement that logically follows from the major and minor premises.

A

Conclusion (universal or existential)-

67
Q

It is also denoted by
All p are q.
r is p.
Therefore, r is q.

A

Categorical Syllogism

68
Q

it is development, execution, and supervision of plans

A

data management

69
Q

the word statistics originated from the word

A

“status” meaning “state”

70
Q

it is the science that deals with the collection, classification, analysis, and interpretation of numerical

A

statistics

71
Q

are used to organize and summarize the information so that the researcher can see what happened in the research study

A

statistics

72
Q

help to researcher to answer the questioning that initiated the researcher by determining exactly what general conclusions are justified

A

statistics

73
Q

5 methods of data gathering

A

direct or interview method
indirect or questionnaire method
registration method
observation method
experimental method

74
Q

it is a person to person encounter between the source of information, the interviewee

A

direct or interview method

75
Q

it is the technique in which questionnaire is used to elicit the information

A

indirect or questionnaire method

76
Q

It obtains data from the records of government agency authorized by law to keep such data or information and made these available to researchers.

A

registration

77
Q

It is the technique in which data particularly those pertaining to the behaviors of individuals or group of individuals during the given situation.

A

observation

78
Q

To notice using a full range of appropriate senses. To see, hear, feel, taste, and smell.

A

observation

79
Q

This is also used when the respondents cannot read nor write.

A

observation

80
Q

used to gather data from the result of performed series

A

experimental

81
Q

systematically manipulated by the investigator

A

Independent variable
(IV)

82
Q

Investigator measures to determine the effect of the independent variable

A

dependent variable(DV)

83
Q

THE CAUSE

THE EFFECT

A

Independent variable

Dependent variable

84
Q

experiment force a conclusion consonant with reality.

A

scientific method

85
Q

It involves the collection and classification of data

A

descriptive statistics

86
Q

It involves the analysis and interpretation of data.

A

inferential statistics

87
Q

exampple: average and percentage

A

descriptive statistics

88
Q

example: predict and estimate

A

inferential statistics

89
Q

set of measurement corresponding to the entire collection of units

A

population

90
Q

is a set of individuals selected from a population, usually intended to represent the population in a research study.

A

sample

91
Q

sample formula

A

sample size= population size divide 1+ population size multiply by margin of error then squared

92
Q

are measurements or observations.

A

Data

93
Q

is a single measurement or observation and is commonly called a score or raw score.

A

datum

94
Q

The measurements that are made on the subjects of an experiment are also called

A

data

95
Q

The data as originally measured are often referred to as

A

raw or original scores.

96
Q

2 types of data

A

Qualitative Data
Quantitative Data

97
Q

Data that deal with categories or attributes
ex.Color of skin
Courses in Computer Engineering

A

Qualitative Data

98
Q

Data that deal with numerical values
ex.Number of units in one semester
Grade point average

A

Quantitative Data

99
Q

Data that are obtained by counting
ex. number of students in the classroom
number of cars in the parking lot

A

Discrete Data

100
Q

Data that are obtained by measuring
ex. area of a mango farm in Pampanga
volume of water in a pool in Pansol, Laguna

A

Continuous Data

101
Q

It can assume any of an infinite number of values and can be
associated with points on a continuous line interval.
Example: Height, weight, volume

A

Continuous Data

102
Q

It results from either a finite number of possible values or a countable number of possible values.
Example: number of students, number of books, and number of patients

A

Discrete Data

103
Q

is a value, usually a numerical value that describes a population.

A

Parameter

104
Q

is usually derived from measurements of the individuals in the population

A

Parameter

105
Q

is a value, usually a numerical value that describes a sample.

A

statistic

106
Q

usually derived from measurements of the individuals in the sample.

A

statistic

107
Q

occurring discrepancy, or error, that exists between a sample statistic

A

sampling error

108
Q

characteristics of some events, object, or person that may have different values

A

variable

109
Q

isa variable describing a characteristic.

A

qualitative variable

110
Q

are also sometimes referred to as categorical variables because they can be separated into categories.

A

Qualitative variables

111
Q

are often descriptive but can sometimes be given a numeric value.

A

Quantitative variables

112
Q

has a value or numerical measurement for which operation can be applied.
For example: age, height, and weight are quantitative.

A

quantitative variable

113
Q

Interval and ratio are sometimes called

A

continuous or scale

114
Q

the hierarchy of levels

absolute zero
distance is meaningful
attributes can be ordered
attributes are only named; weakest

A

ratio
interval
ordinal
nominal

115
Q

4 LEVELS OF MEASUREMENT

A

Nominal
Ordinal
Interval
Ratio

116
Q
  • labels qualitative data into mutually exclusive categories
A

Nominal

117
Q

ranks qualitative data according to its degree

A

Ordinal

118
Q

numerical data that has order and its differences can be determined;
do not have a “true” zero

A

Interval

119
Q

numerical data that has order, differences can be determined and has a “true” zero

A

ratio

120
Q

example: what is your civil status :
single, married, separated, annulled

A

Nominal

121
Q

example: how satisfied are you with our food? extremely satisfied, very satisfied , satisfied

A

Ordinal

122
Q

example: temperature

A

Interval

123
Q

example: Speed, Height, Weight

A

ratio

124
Q

data is the precious thing that last together

A

Tim berners lee

125
Q

A single value that describes the center of a distribution:

A

mean, median,mode

126
Q

also known as the “average” or “arithmetic mean”

A

mean

127
Q

the middlemost score

A

median

128
Q

the most frequent score

A

mode

129
Q

the sum of all values in a dataset divided by the total number of observations

A

mean

130
Q

in excel when computing the mean
type?

A

average (A1:A8) then enter

131
Q

in excel when computing the meadian you’‘ll type?

A

median (A1:A8) then enter

132
Q

in excel when computing the mode you’‘ll type?

A

mode(A1:A8) then entero

133
Q
A