math Flashcards

1
Q

is used in business and economics.

A

statistics

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2
Q

It plays an important role in the exploration of new markets for a product, forecasting of business trends, control and maintenance of high-quality products, improvement of employer-employee relationship and analysis of data concerning insurance, investment, sales, employment, transportation, communications, auditing and accounting procedures.

A

statistics

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3
Q

is the branch of mathematics that deals with the theory and method of collecting, organizing, presenting, analyzing and interpreting data.

A

STATISTICS

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4
Q
  • It refers to the summary statistic that quantitatively describes or summarizes features from a collection of data under investigation.
A

DESCRIPTIVES STATISTICS

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5
Q

The goal is to describe.

A

DESCRIPTIVES STATISTICS

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6
Q

Numerical measures are used to tell about features of a set of data.

A

DESCRIPTIVES STATISTICS

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7
Q

It is a statistical tools that are used to examine the relationships between variables within a sample and then make generalizations or predictions about how those variables will relate to a larger population.

A

INFERENTIAL STATISTICS

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8
Q
  • The average, or measure of the center of a data set, consisting of the mean, median, mode, or midrange
A

DESCRIPTIVE STATISTICS

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9
Q
  • The spread of a data set, which can be measured with the range or standard deviation
A

DESCRIPTIVE STATISTICS

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10
Q
  • Overall descriptions of data such as the five number summary
A

DESCRIPTIVE STATISTICS

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11
Q
  • Measurements such as skewness and kurtosis
A

DESCRIPTIVE STATISTICS

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12
Q
  • The exploration of relationships and correlation between paired data
A

DESCRIPTIVE STATISTICS

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13
Q
  • The presentation of statistical results in graphical form
A

DESCRIPTIVE STATISTICS

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14
Q

It is concerned with the formulation of theories, principles, and formulas which are used as bases in the solution of problems related to Statistics.

A

STATISTICAL THEORY-

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15
Q

It is concerned with the application of the theories, principles and formulas in the solution of everyday problems.

A

STATISTICAL METHOD-

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16
Q

a set of data consisting of all conceivable possible observations of a certain phenomenon.

A

POPUPLATION

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17
Q

. It refers to the totality of the observations.

A

POPULATION

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18
Q

– a finite number of items selected from a population possessing identical characteristics with those of the population from which it was taken.

A

SAMPLE

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19
Q

refers to a fundamental quantity that changes in value from one observation to another within a given domain and under a given set of conditions

A

VARIABLES

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20
Q

2 YPES OF VARIABLES AND EXPLAIN

A
  1. DISCRETE- iyo ung obtain by countain hinidi pwedeng I fraction, lagyan ng demical, hatiin.
    -ex, number of siblings, WHOLE NUM
  2. CONTINOUS- by measuring, pwede ka ng mag fraction or hatiin
    Ex, height, weight,size etc basta measurement
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21
Q

refers to fundamental quantities that do not change in value.

A

CONSTANT

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22
Q

are characteristics/measures computed from the population.

A

PARAMETERS

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23
Q

are characteristics/measures computed from the sample.

A
  • STATISTIC/S –
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24
Q

4 LEVELS OF DATA MEASUREMENT AND EXPLAIN

A

1, NOMINAL - SEX,GENDER,
2. ORDINAL- POOR AND RICH
3. INTERVAL- - Data with arbitrary zero value (scores, grades)
4. RATIO-Data coming from measurements (height, weight, etc.)
-here di pwedeng negative sa right axis ka lang

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25
Q

are plain facts, usually raw numbers, words, measurements, observations or just description of things

A

DATA

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26
Q

is descriptive in nature ex., color, shapes (nominal and ordinal)

A

QUALITATIVE DATA-

27
Q

is numerical information ex. weight, height (interval and ratio)

A

QUANTITATIVE DATA

28
Q

is concerned with the accurate gathering of data; although methods may differ depending on the field, the emphasis on ensuring accuracy.

A

Data collection-

29
Q

TRUE OR FALSE
The primary goal of any data collection is to capture quality data or evidence that easily translates to rich data analysis that may lead to credible and conclusive answers to questions that have been posed.

A

T

30
Q

The researcher or interviewer gets the needed data from the respondent or interviewee verbally and directly face-to-face contact.

A

DIRECT METHOD/INTERVIEW METHOD

31
Q

is a tool for data gathering and research that consists of a set of questions in a different form of question type that is used to collect information from the respondents for the purpose of either survey or statistical analysis study.

A

QUESTIONNAIRE or INDIRECT METHOD

32
Q

This method is used by the government such as the records of births at the Philippine Statistics Authority (PSA), registration record at the COMELEC.

A

REGISTRATION METHOD

33
Q

This method is a way of collecting data through observing. The observer gains firsthand knowledge by being in and around the social setting that is being investigated.

A

OBSERVATION METHOD

34
Q

is a procedure carried out to support, refute, or validate a hypothesis.

A

EXPERIMENTATION

35
Q

is a method that most clearly shows cause-and-effect because it isolates and manipulates a single variable, in order to clearly show its effect.

A

EXPERIMENT

36
Q

Once data has been collected, it has to be classified and organized in such a way that it becomes easily readable and interpretable, that is, converted to information.

A

DATA PRESENTATION

37
Q

This type of presentation combines text and figures in a statistical report.
Example: news item in the newspaper

A

TEXTUAL PRESENTATION

38
Q

This type of presentation uses tables consisting of vertical columns and horizontal rows with headings describing these rows and columns. The data are presented in more brief and orderly manner.

A

TABULAR PRESENTATION

39
Q

It is a most effective means of presenting statistical data because important relationships are brought out more clearly in graphs.

A

GRAPHICAL PRESENTATION

40
Q

is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent.

A

A bar chart or bar graph

41
Q

The bars can be plotted vertically or horizontally.

A

A bar chart or bar graph

42
Q

is a graphical display of information that changes continuously over time.

A

LINE GRAPH

43
Q

Within a line graph, there are points connecting the data to show a continuous change.

A

LINE GRAPH

44
Q

is a circular chart divided into wedge-like sectors, illustrating proportion.

A

PIE GRAPH

45
Q

can make the size of portions easy to understand at a glance. They’re widely used in business presentations and education to show the proportions among a large variety of categories including expenses, segments of a population, or answers to a survey.

A

PIE CHART

46
Q

A scatter diagram also called a

A

SCATTERPLOT

47
Q

is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data.

A

SCATTER DIAGRAM

48
Q

The data are displayed as a collection of points, each having the value of one variable determining the position on the horizontal axis and the value of the other variable determining the position on the vertical axis.

A

SCATTER DIAGRAM

49
Q

is a chart or graph, which uses pictures to represent data.

A

PICTOGRAPH/PICTOGRAM-

50
Q

is one of the simplest forms of data visualization.
-child friendly more on sa mga bata elem daycare ganon

A

PICTOGRAPH/PICTOGRAM-

51
Q

Provides equal chances to every single element of the population to be included in the sampling.

A

PROBABILITY/RANDOM SAMPLING-

52
Q

The samples are selected in a process that does not give all the individuals in the population equal chances of being selected.

A

NON-PROBABILITY SAMPLING-

53
Q

Samples are selected don the basis of their accessibility or by the purposive personal judgement of the researcher.

A

NON-PROBABILITY SAMPLING-

54
Q

Lottery Method, -Fish Bowl Method

A

SIMPLE RANDOM SAMPLING-

55
Q

every after 3 ganon
STEP 1: Identify the population (N)
STEP 2: Identify the number of sample (n)
STEP 3: Divide N by n to find the nth Interval

A

SYSTEMATIC SAMPLING-

56
Q

Used to ensure that different groups in the population are adequately in the sample

A

STRATIFIED SAMPLING

57
Q

CLUSTER SAMPLING- Often called

A

geographic sampling.

58
Q

Often called geographic sampling.

A

CLUSTER SAMPLING

59
Q

It is used in large scale surveys (ANSWER). The population is divided into multiple groups called

A

CLUSTER SAMPLING AND CLUSTERS

60
Q

Researchers selects subjects that are more readily accessible or available.

A

ACCIDENTAL OR CONVENIENCE SAMPLING -

61
Q

Subjects are selected based on the need of the study.

A

PURPOSIVE SAMPLING

62
Q

This type of sampling start with known sources of information , who or which will in turn give other sources of information. As this goes on, data accumulates.

A

SNOWBALL SAMPLING

63
Q

Researchers takes a sample in proportion to some characteristics or trait of the population.

A

QUOTA SAMPLING