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Reviewer 4th AC > STM 009 > Flashcards

STM 009 Flashcards

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

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2
Q

What are the 3 types of Data Presentation?

A

TEXTUAL, TABULAR, SNF GRAPHICAL.

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3
Q

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

A

TEXTUAL PRESENTATION OF DATA

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4
Q

Tabular Presentation of Data have a two parts of data.

A

GROUPED AND UNGROUPED DATA

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5
Q

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

A

UNGROUPED DATA

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6
Q

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

A

GROUPED DATA

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7
Q

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

A

FREQUENCY DISTRIBUTION

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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

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9
Q

What are the two types of skewness?

A

POSITIVE AND NEGATIVE SWEKNESS

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10
Q

What are the two types of data analysis

A

THE DECRIPTIVE AND THE INFERENTIAL

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11
Q

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

A

CENTRAL TENDENCY

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12
Q

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

A

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

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13
Q

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

A

CENTRAL VALUE

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14
Q

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

A

SIMPLE LINEAR REGRESSION

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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

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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

A

ANOVA

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.

A

INTERVIEW

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
Q

It present a systematically your numeric data in a form of table or graph.

A

FREQUENC DISTRIBUTION

26
Q

It describe the averagge of your numerical data.

A

MEASURE CENTRAL TENDENCY

27
Q

A numeric value in a distribution that occurs most frequently

A

MODE

28
Q

The middle item of a sorted distribution of numbers.

A

MEDIAN

29
Q

It was the arithmetic average

A

MEAN

30
Q

This compare whether the data or information is similar or different from each other .

A

MEASURES OF VARIABILITY

31
Q

The commonly used to measures variability is

A

RANGE AND STADARD DEVIATION

32
Q

The distance between the highest and the lowest of a distribution.

A

RANGE

33
Q

The average to which the score deviate from the mean.

A

STANDARD DEVIATION

34
Q

This is the method will you describe the relationship between two variables

A

CORRELATION

35
Q

The three types of inferential analysis

A

T-TEST, ANALYSIS OF VARIANCE (ANOVA), AND REGRESSION ANALYSIS .

36
Q

The mean of two groups are statistically different from each other. Comparing the two independent groups

A

T TEST

37
Q

It measure the degree of relationship between two or more variables

A

REGRESSION

Reviewer 4th AC (6 decks)

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