MIDTERMS Flashcards

1
Q

a science that studies data

A

statistical process/statistics

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2
Q

using data to find an answer or a solution to a problem or an inquiry

A

statistical process/statistics

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3
Q

use in decision-making

A

statistical process/statistics

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4
Q

is information, quality, characteristics, number or quantity that describes a place, event, thing or idea that can be measured or counted
>can be qualitative or quantitative

A

VARIABLE

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5
Q

2 classification of variables

A

> NUMERICAL
CATEGORICAL

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6
Q

2 classification of Numerical variable

A

-Interval
-Ratio

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7
Q

2 classification of Categorical variable

A

-Nominal
-Ordinal

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8
Q

a variable that can be measured and represented as number

A

NUMERICAL

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9
Q

a data which represents a group

A

CATEGORICAL

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10
Q

data that contain of NAMES, LABEL AND CATEGORIES ONLY
-cannot be arranged according to arrangement

A

NOMINAL SCALE

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11
Q

the lowest level of measurement and is used to describe or identify data

A

NOMINAL SCALE

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12
Q

___ scales are qualitative, not quantitative.
-are used in research surveys and questionnaires

A

nominal

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13
Q

hair color, gender, flavor of ice cream, jersey number are examples of what measurement / data or scale

A

NOMINAL SCALE

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14
Q

the data can be organized in ordering scheme or rank

A

ORDINAL

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15
Q

same properties of nominal level

A

ORDINAL

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16
Q

class officers, rank in contest are examples of what measurement / data or scale

A

ORDINAL

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17
Q

a quantitative scale that measures variables in equal intervals

A

INTERVAL

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18
Q

a numerical scale that has equal distances between adjacent values

A

INTERVAL

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19
Q

a “zero” doesn’t represent a true absence of the variable being measured

A

INTERVAL

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20
Q

temperature, time are examples of what measurement / data or scale

A

Interval

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21
Q

same properties of interval level

A

RATIO

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22
Q

have a true absolute zero

A

RATIO

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23
Q

weight, height, and age are examples of what measurement / data or scale

A

RATIO

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24
Q

TWO AREAS OF APPLIED STATISTICS

A

Descriptive and Inferential

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25
the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data
Descriptive
26
techniques that allow us to use samples to make generalizations about the populations from which the samples were drawn
Inferential
27
5 methods of collecting data
-Interview Method -Experimental Method -Registration Method -Questionnaire Method -Observation Method
28
2 methods under INTERVIEW METHOD
1. Direct method 2. Indirect method
29
method of data collection where an interviewer asks questions to a respondent
direct method
30
information obtained directly from the source -can be conducted face-to-face, by phone or online
direct method
31
can be structured, unstructured, or semi-structured
direct method
32
data collected directly from the source is called
primary data
33
can include yes or no, true or false, multiple choice, and open-ended questions
direct method
34
can be used to document activities, behavior, and physical aspects of a situation
direct method
35
involves using existing data that was collected for another purpose
indirect method
36
use secondary data (already existing data)
indirect methods
37
may not involve direct contact with the primary source
indirect methods
38
using data from government reports, analyzing existing documents or records are examples of what interview method
indirect method
39
use when you need specific, detailed information about a topic and want to control the data collection process
direct methods
40
use when time or resource constraints limit the ability to collect primary data, or when you need a broader overview of a topic and existing data is readily available
indirect methods
41
a research tool that uses a series of questions to gather information from people
QUESTIONNAIRE METHOD
42
it consist of collection of data by means of observing behavior of people, actions, and situations without asking from the respondent
OBSERVATION METHOD
43
the observer observe the behaviour according to prearranged schedule
OBSERVATION METHOD
44
a collection of data through government offices
REGISTRATION METHOD
45
birth & death rate (PSA), list of registered voters (COMELEC) are examples of what method of collecting data
registration method
46
data collection method where you as a researcher change some variables and observe their effect on other variables
EXPERIMENTAL METHOD
47
the variables that you manipulate are referred to as ___ while the variables that change as a result of manipulation are ____ variables
-independent -dependent
48
systematic procedure that's used in research studies to gather data and analyze results
experimental method
49
methods used to select representative from a larger group of population
SAMPLING TECHNIQUES
50
2 TYPES OF SAMPLING TECHNIQUES
1. Non-Statistical Sampling techniques 2. Statistical Sampling techniques
51
4 STATISTICAL SAMPLING TECHNIQUES
1. RANDOM 2. STRATIFIED 3. CLUSTER 4. SYSTEMATIC
52
selecting randomly from a population in a way that gives each member of the population an equal chance of being selected
RANDOM SAMPLING
53
lottery method, and table of random numbers are methods of selecting what statistical sampling technique?
random sampling
54
the population is divided into strata (groups) based on their homogeneity (characteristics they shared) of commonalities
STRATIFIED SAMPLING
55
is used to determine the sample size of the population that must be taken for a specific study
SLOVIN'S FORMULA
56
SLOVIN'S FORMULA: n = N/1+Ne^2 n = N = number of cases e = margin of error
n = sample size
57
SLOVIN'S FORMULA: n = N/1+Ne^2 n = sample size N = e = margin of error
N = number of cases
58
SLOVIN'S FORMULA: n = N/1+Ne^2 n = sample size N = number of cases e =
e = margin of error
59
a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample
CLUSTER SAMPLING
60
a sample selected by listing a population sequentially and choosing members at regular intervals
SYSTEMATIC SAMPLING