MathMod Flashcards

1
Q

Data

A

Are raw information or facts that become useful information when organized in a meaningful way. It could be of qualitative and quantitative nature.

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2
Q

Data Management

A

Is concerned with “looking after” and processing data

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3
Q

Importance of Data Management

A

Ensures that data for analysis are ofbhigh quality so that conclusions are correct

Good data managements alliws furthur use of the data in the future and enables efficient integration of resulta with other studies

Good data management leads to improved processing efficiency, improved data quality, and improved meaningfulness of the data.

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4
Q

Methods of data collection

A

Census
Sample Survey
Experiment
Observation Study

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5
Q

Census

A

This is the procedure of systematically acquiring and recording information about all members of a given population.

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6
Q

Sample Survey

A

Sampling is a selection of a subset within a population, to yield some knowledge about the population of concern.

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7
Q

Experiment

A

This is performed when there are some controlled variables and the intention is to study their effect on other observed variables.

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8
Q

Observation Study

A

This is appropriate when there are no controlled variables and replication is impossible. This type of study typically uses a survey.

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9
Q

Nonprobability Sampling

A

Any sampling method where some elements of the population have no chance of selection or where the probability of selection cant be accurately determined

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10
Q

Probability Sampling

A

Is one in which every unit in the population can be randomly selected, and the probability of selecting can be accurately determined

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11
Q

Simple Random Sampling

A

All samples of a given size have an equal probability of being selected and selections are independent. The frame is not subdivided or partitioned

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12
Q

Systematic Sampling

A

Relies on dividing the target population into strata of equal size and then selecting ranfomly one element from the first stratum and corresponding elements from all other strata.

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13
Q

Stratified Sampling

A

The frame can be organized by these categories into seperate “strata”

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14
Q

Cluster Sampling

A

Selects respondents from certain areas only, or certain time-periods only. An example of two-staged random sampling

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15
Q

Matched Random Sampling

A

A pair or set of, matched samples are those in which each member of a sample is matched with a corresponding member in every other sample

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16
Q

Confounding

A

An extraneous variable in a statistical model that correlates with both the dependent variable and the independent variable.

17
Q

Placebo and binding

A

A placebo is an imitation pill identical to the actual treatment pill but without treatment ingredients. Blinding is a techniqur used to make the subjects “blimd” to which treatment is being given.

18
Q

Blocking

A

The arranging of experimental units in groups that are similar to one another.

19
Q

Completely Randomized Design

A

For studying the effects of one primary factor without the need to take other nuisance variables into account

20
Q

Randomized Block design

A

A collection of completely randomized experiments, each run within one of the blocks of the total experiment.

21
Q

Chi-Square Test

A

Usrd to determine whether there is significatn difference between the ex0ected valyr frequencies and the observed frequencies in one or more categories.

22
Q

2 types of chisquare test

A

A chi-square goodnes of fit test determines if a sample data matches a population

A chi-square test for independence compares 2 variables in a contingency table to see if they are related.