MMW Flashcards by James Esmale

Q

PROCESS THAT DATA MANAGEMENT

A

STATISTICS

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Q

DIRECTMETHOD IS THE FACE-TO-FACE

A

INTERVIEW

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Q

INDIRECT METHOD NOT REQUIRE DIRECT FACE-TO-FACE

A

QUESTIONNAIRE

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Q

FORMAL LISTING

A

REGISTRATION

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Q

PERSPECTIVE OF ONE FROM GATHERED DATA

A

OBSERVATION

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Q

INVOLVES OBSERVATION

A

EXPERIMENT

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Q

FOUR LEVEL OF MEASUREMENTS SCALES

A

NOMINAL
ORDINAL
INTERVAL
RATIO

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Q

NAMES AND LABELS

A

NOMINAL

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Q

ORDERING DATA

A

ORDINAL

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Q

USE NUMBERS TO ASSIGN

A

INTERVAL

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Q

USE NUMBER TO QUANTIFIED

A

RATIO

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Q

ARRAGEMENTS ASCENDING AND DESCENDING

A

ARRAYS

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Q

ORGANIZES DATA TO MAKE UNDERSTADABLE FOR RESEARCHERS AND STATICIANS

A

FREQUENCY DISTRIBUTION TABLE

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Q

USE WORDS AND SENTENCES

A

TEXTUAL

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Q

TABLES TO ORGANIZE THE DATA

A

TABULAR

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Q

USE GRAPH

A

GRAPHICAL

Q

4 GRAPHICAL

A

LINE GRAPH
BAR GRAPH
PIE GRAPH
PICTOGRAPH

Q

USE LINE FOR GRAPH

A

LINE GRAPH

Q

USED WHEN COMPARING 2 OR MORE

A

BAR GRAPH

Q

PARTITION OF DATA

A

PIE GRAPH

Q

PICTURE RELATING TO DATA

A

PICTOGRAPH

Q

DESCRIBE CHARACTERISTICS OFGATHERED DATA

A

DESCRIPTIVE STATISTICS

Q

MEASURES OF CENTRAL TENDENCY

A

MEAN
MEDIAN
MODE

Q

AVERAGE DATA

A

MEAN

CENTRAL DATA

MEDIAN

MOST FREQUENT VALUE

MODE

DATA SPRED OUT IN DATA SET

MEASURES OF DISPERSION

6 MEASURES OF DISPERSION

1. RANGE 2. VARIANCE 3. STANDARD DEVIATION 4. COEFFICIENT OF VARIATION 5. SKEWNESS 6. COEFFICIENT OF KURTOSIS

HIGHEST - LOWEST

RANGE

DESCRIBES VALUE OF THE MEAN

VARIANCE

MEASURE APART THE DATA

STANDARD DEVIATION

RATIO OF STANDARD DEVIATION AND MEAN

COEFFICIENT OF VARIATION

ASYMMETRIC DISTRIBUTION OF DATA

SKEWNESS

FLATNESS OR PEAKEDNESS DATA

COEFFICIENT OF KURTOSIS

DESCRIBES GIVEN POPULATION

ESTIMATION OF PARAMETERS

MAKES CONCLUSION DATA FROM A LARGER POPULATION

INFERENTIAL STATISTICS

STUDY PROVIDES EVIDENCE

HYPOTHESIS TESTING