SAMPLING Flashcards

1
Q

Types of sampling designs

A
probablity - for making generalizations
non probability(random)  - used for descriptivepurposes
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2
Q

what sampling method is employed when households are selected at random and every person in each household is inculuded in the sample

A

cluster sampling

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3
Q

most basic randomized sampling design

A

simple random sampling

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4
Q

what is systematic sampling design

A

where every kth elementh of the population is chosen

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5
Q

types of data presentation

A

1) textual / narrative
2) tabular
3) graphical

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6
Q

uses symbols or pictures. used in showing distribution of morbidity across a GEOGRAPHIC AREA

A

Pictograph

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7
Q

correlation between 2 QUANTITATIVE DATA

ie: birth weight and AOG

A

dot diagram/scatterplot diagram

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8
Q

comparison of 2 POPULATION

ie ERAP income and GMA income

A

frequency polygon

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9
Q

presents trend data or changes with time or age with respect to other variables

A

trend

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10
Q

frequency distribution of continuous variable or measurement including age group

A

histogram

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11
Q

which graph is suitable to show the increasing cases of dengue from 2009-2015

A

Line graph

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12
Q

breakdown of a group with <6 categories; presented in PERCENTAGES

A

pie chart

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13
Q

used to prioritize problems; contains both bar graph and line graph

A

PARRETTO Chart

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14
Q

measures of central tendency

A

mean, median,mode

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15
Q

central tendency useful for bimodal distribution

A

mode

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16
Q

central tendency useful for skewed data

A

median

17
Q

most common central tendency

A

mean

18
Q

skewed distributions; skewed to the left

A

small outlying variables; neg skewed
Mean < Median < Mode

*opp for skewed to right

19
Q

inferential statistics is composed of

A

hypothesis testing

estimation

20
Q

Types of hypothesis

A

Null - you want to reject

Alternate - accept

21
Q

Types of hypothesis error

A
Type 1(A) - rejects true hypothesis
Type 2(B) -does not reject false hypothesis
22
Q

process of computing the measures of population attributes based on data from sample

A

Estimation

23
Q

Types of hypothesis error

A
Type 1(A) - rejects true hypothesis
Type 2(B) -does not reject false hypothesis
24
Q

process of computing the measures of population attributes based on data from sample

A

Estimation