STM 009 Flashcards

(37 cards)

1
Q

The organization of the data in tables, graphs or charts, so that the statistical conclusions can be derived from the collected information.

A

DATA PRESENTATION

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What are the 3 types of Data Presentation?

A

TEXTUAL, TABULAR, SNF GRAPHICAL.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

This type of data presentation are present using a paragraphs or sentences. It involves enumerating important characteristics.

A

TEXTUAL PRESENTATION OF DATA

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Tabular Presentation of Data have a two parts of data.

A

GROUPED AND UNGROUPED DATA

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

This type of tabular data that you first gather, from experiment or study.

A

UNGROUPED DATA

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

This type of tabular data are the not sorted and classified it considered as.

A

GROUPED DATA

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

This is type of distribution that the table displays i9n the frequency of various outcomes in a sample.

A

FREQUENCY DISTRIBUTION

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

A measure of symmetry a distribution or data set is symmetric if it looks the same to the left and right of the center point.

A

SKEWNESS

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What are the two types of skewness?

A

POSITIVE AND NEGATIVE SWEKNESS

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What are the two types of data analysis

A

THE DECRIPTIVE AND THE INFERENTIAL

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

A distribution summarizes the data set into single figure representing the data set.

A

CENTRAL TENDENCY

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

The four types of measures of dispersion or measures of variability are

A

RANGE, MEAN ABSOUTE DEVISION, STANDARD DEVISION, AND VARIANCE.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

This are full of number and times that used to describe the entire sample or population

A

CENTRAL VALUE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

This are fits the line to the data points the study of two linear relationship or quantitative variable

A

SIMPLE LINEAR REGRESSION

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

A statistical method thar allows us to summarize and study the linear relationship between two quantitative variables. That best fit for the data points

A

SIMPLE LINEAR REGRESSION

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

A measures the strength of the relationship between the two variables

A

CORELLATION COFFIECIENT

17
Q

This are used for comparing a sample that more than two populations, data experiments that have more than two treatments tha have been used

18
Q

This is the attempts to model the relationship between two or more explanatory variables and a response variable by fitting linear equation to observe a data. Also an extension of the simple linear regression model. It was a powerful techniques that used to predict te unknown variable.

A

MULTIPLE LINEAR REGRESSION

19
Q

The verbal communication between two people with the objective of collecting a relevant information of the purpose of research.

20
Q

What are the four types of interview method oof in data collecing

A

PERSONAL, TELEPHONE, FOCUS GROUP, AND IN-DEPTH INTERVIEW.

21
Q

The method of data collecting with the use of written instrument is called

A

QUESTIONNAIRE

22
Q

What are the four type of evaluation of secondary data?

A

AVAILIBILITY, ACCURACY, RELEVANCE, AND SUFFICIENCY.

23
Q

The process at which developing the research problems trough examination and interpretation of data.

A

DATA ANALYSIS

24
Q

It describe the data from a particular sample, the conclusion is referce only in sample.

A

DESCRIPTIVE ANALYSIS

25
It present a systematically your numeric data in a form of table or graph.
FREQUENC DISTRIBUTION
26
It describe the averagge of your numerical data.
MEASURE CENTRAL TENDENCY
27
A numeric value in a distribution that occurs most frequently
MODE
28
The middle item of a sorted distribution of numbers.
MEDIAN
29
It was the arithmetic average
MEAN
30
This compare whether the data or information is similar or different from each other .
MEASURES OF VARIABILITY
31
The commonly used to measures variability is
RANGE AND STADARD DEVIATION
32
The distance between the highest and the lowest of a distribution.
RANGE
33
The average to which the score deviate from the mean.
STANDARD DEVIATION
34
This is the method will you describe the relationship between two variables
CORRELATION
35
The three types of inferential analysis
T-TEST, ANALYSIS OF VARIANCE (ANOVA), AND REGRESSION ANALYSIS .
36
The mean of two groups are statistically different from each other. Comparing the two independent groups
T TEST
37
It measure the degree of relationship between two or more variables
REGRESSION