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Exam Grade 11 > STAT (3rd Grading) > Flashcards

STAT (3rd Grading) Flashcards

1
Q

It is a mathematical concept used to measure the occurrence of statistical events.

A

Probability

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2
Q

It is the chance of a certain event will occur or happen.

A

Probability

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3
Q

A science that studies data to be able to make a decision.

A

Statistic

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4
Q

A science involves the methods of collecting, processing, summarizing and analyzing data in order to provide answers or solutions to an inquiry.

A

Statistics

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5
Q

Statistics comes from the latin word

A

Status

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6
Q

Statistics comes from the italian word

A

Statistia

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7
Q

Statistics comes from the German word

A

Statistik

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8
Q

Statistics comes from the French word

A

Statistique

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9
Q

The word statistics comes from the Latin word “Status” or Italian word “Statistia” or German word “Statistik” or the French word “Statistique”;

A

political state

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10
Q

provides information only about
collected data and does not draw inferences or conclusions about a larger set of data.

A

Descriptive Statistics

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11
Q

used when one makes a decision, estimates prediction or generalization about a population based on a sample.

A

Inferential Statistics

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12
Q

The collection or set of units or entities from whom we got the data.

A

Universe

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13
Q

Is a characteristic that is observable or measurable in every unit of the universe.

A

Variable

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14
Q

set of all possible values of a variable.

A

Population

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15
Q

A subgroup of a universe or of a population.

A

Sample

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16
Q

The information we asked from the respondents.

A

Variable

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17
Q

is a characteristic that is observable or measurable in every unit of the universe.

A

A variable

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18
Q

It is referred to as categorical variables such as:
sex (male or female),
religion,
marital status,
region of residence,
highest educational attainment, etc.

A

Qualitative

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19
Q

Otherwise called as numerical data, whose sizes are meaningful.
It answer questions such as “how much” or “how many”.

A

Quantitative

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20
Q

Quantitative data may be classified to as _________ or ___________

A

Discrete and continuous

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21
Q

are those data that can be counted that includes whole numbers or integers, example: the number of days, the ages of survey respondents, and the number of patients in a hospital.

A

Discrete

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22
Q

are those that can be measured that includes fractions and decimals, example. height of a survey respondent and the volume of some liquid substance.

A

Continuous

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23
Q

What are the levels of measurement

A

Nominal

Ordinal
Interval

Ratio

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24
Q

Measurement arises when we have variables that are
categorical and non-numeric or where the numbers have no sense of ordering

A

Nominal

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25
Q

This level ordering is important, that is the values of the variable could be ranked.
These scales have no absolute values – all that we can say is that one person is higher or lower in rank without stating how much greater or less.

A

Ordinal

26
Q

The data can be categorized and ranked.
It tells us that one unit differs by a certain amount of degree from another unit. Can state how much unit differs from another. No absolute zero.

A

Interval

27
Q

The data can be categorized and ranked. There is an existence of zero.

A

Ratio

28
Q

Methods of Data
Collection


A

Objective
Subjective
Use of existing records


29
Q

uses any or combination of the five senses (sense of sight, touch, hearing, taste and smell) to measure the variable

A

Subjective

30
Q

obtains data by getting responses through a questionnaire.

A

Objective

31
Q

resulting data from these two methods of data collection (subjective and objective) is referred to as

A

primary data.

32
Q

It obtained through the _____________________ or data collected by other entities for certain purposes.

A

use of existing records

33
Q

The gathered data from this method of data (Use of existing records) collection is referred to as

A

secondary data.

34
Q

Data collection techniques

A

Observation
Interview and focus group
Transactional Tracking
Social media tracking
Online tracking
Surveys
Forms

35
Q

3 types of invterview conducted for data collection

A

Telephone interview
Face to Face interview
Computer-assisted personal interviewing

36
Q

Methods of Data
Presentation


A

Textual
Tabular
Graphical

37
Q

Presenting Data in the form of words, sentences and paragraphs.
Detailed information are given. It involves enumerating important characteristics, emphasizing significant figures and identifying important features of data.

A

Textual

38
Q

Numerical values are presented using tables. Information are lost in tabular presentation of
data.
The frequency distribution table is the usual tabular form of presenting the distribution of the data.

A

Tabular

39
Q

A visual representation of data statistics-based results using graphs, plots, and charts.

A

Graphical

40
Q

are visual displays that organise and present frequency counts so that the information can be interpreted more easily.

A

Frequency distributions

41
Q

can show absolute frequencies or relative frequencies, such as proportions or percentages.

A

Frequency distributions

42
Q

is a presentation containing non-overlapping categories or classes of a variable and the frequencies or counts of the observations falling into the categories or classes.

A

Frequency distributions Table

43
Q

How to get Range

A

R = Highest - Lowest (make stem and leaves thingy)

44
Q

Number of classes

A

K = √N (N= total # of Observation)

45
Q

Class Size

A

C = R/K

46
Q

Making of table

A

Number of Classes = Rows
Class size = (plus)

47
Q

LL (Lower Limit)

A

Lowest class + Class size

48
Q

UL (Upper Limit)

A

2nd LL - 1

49
Q

Frequency

A

in the stem/Leaf thingy

50
Q

Class Mark (CM)

A

CM = LL+UL/2

51
Q

Cumulative Frequency (<CF)

A

<CF = Lowest F + f

52
Q

Cumulative Frequency (>CF)

A

> CF = Total F - f

53
Q

Relative Frequency (RF)

A

RF = (Frequency of a Class / Total Frequency) X 100

54
Q

Lower True Class Boundaries

A

LTCB = LL - 0.5

55
Q

Upper True Class Boundaries

A

UTCB = UL + 0.5

56
Q

(Ungrouped data) Mean

A

Mean = Total / # of Variables

57
Q

(ungrouped data) Median

A

Middle of the list

58
Q

(Ungrouped data) Mode

A

Most in frequency

59
Q
  • is the class with the less than cumulative frequency greater than or equal to one-half of the total frequency.
A

Median Class

60
Q

The class interval where the value with the highest frequency occurs.

A

Modal class

Exam Grade 11 (39 decks)

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