WEEK 1 Flashcards

1
Q

is the manipulation of the data gathered using descriptive and inferential statistics.

A

Analysis

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2
Q

is used in getting the value for the median, quartiles, deciles, and percentiles.

A

Cumulative frequency

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3
Q

point to statistical facts, principles, opinions and various items of different sources.

A

Data

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4
Q

is the process and methods of gathering information by interview, questionnaire, experiments, observation and documentary analysis

A

Data collection

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5
Q

takes the form of tables and graphs.

A

Data presentation

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6
Q

includes frequency distribution, measures of central tendency, measures of central location, measures of dispersion or variation, graphs, skewness and kurtosis. Likewise, it refers to some techniques which are concerned with the presentation and collection of data or information.

A

Descriptive statistics

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7
Q

is the tabulation of data of measures. grouped with class intervals.

A

Frequency distribution

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8
Q

points to the construction of bar graphs, frequency polygons, pie charts, and pictographs, among others.

A

Graphical presentation

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9
Q

are properly organized and classified data such as the use of frequency distribution.

A

Grouped data

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10
Q

is the technique by which decision and conclusion are to be made from the population observed using only the representative samples. This statistics includes both parametric and nonparametric tests which are more concerned with generalizing information or making inference about the population through representative samples.

A

Inferential statistics

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11
Q

makes clear results of the analysis using statistical methods to see whether significant differences or relationships exist between variables.

A

Interpretation

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12
Q

is a characteristic of a population.

A

Parameter

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13
Q

is the totality of all the actual observable characteristics of a set of objects or individuals.

A

Population

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14
Q

involves the selection of samples such that each sample of a given size has precisely the probability of being selected. It includes the simple random, stratified, cluster and multistage sampling techniques. sampling

A

Random Sampling

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15
Q

refers to the element of objects or individuals selected from the population.

A

Sample

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16
Q

is the extensive set of question and instruction used in personal interview.

A

Schedule

17
Q

is the art and science of collecting, presenting. analyzing and interpreting data. These data may be in sports, business, politics, education and practically all fields of human endeavor dealing with statistics.

A

Statistics

18
Q

are measures like feet, pounds, kilos, minutes, and meters. These kinds of data can be made into measurement of varying degrees of precision, for example, 1 yard equals 3 feet, 1 foot equals 12 inches.

TYPES OF DATA

A

Continuous data

19
Q

are measurement expressed in whole units. Counting of people, number of objects, number of cars passing by, number of houses, number of students, workers, and so on.

TYPES OF DATA

A

Discontinuous or discrete data

20
Q

is the method of collecting and presenting data. It includes the computation of measures of central tendency, measures of central location, likewise the measures of dispersion or variability. It also includes the construction of tables and graphs.

MAJOR F(X)’S OF STATISTICAL INVESTIGATION

A

Descriptive Statistics

21
Q

is concerned with higher degree of critical judgment and advanced mathematical modes such as using the different statistical tools both the parametric and nonparametric tests. This is concerned with the analysis and interpretation of data in order to draw conclusion and generalization from organized data. This also includes the testing of the significant relationship between the dependent and the independent variables as well as the significant differences between and among independent samples.

MAJOR F(X)’S OF STATISTICAL INVESTIGATION

A

Inferential Statistics