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BioEpidemiology > Week 2: Introduction to BioStatistics and Epidemiology > Flashcards

Week 2: Introduction to BioStatistics and Epidemiology Flashcards

1
Q

This deals with the collection, organization, and presentation of data for the purpose of drawing inferences from such data

A

Statistics

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2
Q

This can be divided into Mathematical and Applied Statistics

A

Statistics

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3
Q

This includes the collection, organization, and presentation of data

A

Descriptive Statistics

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4
Q

This includes the inferences drawn from data

A

Inferential Data

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5
Q

The study and development of statistical theories and methods

A

Mathematical Statistics

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6
Q

The application of statistical methods to solve real problems involving randomly generated data and the development of new statistical methodology motivated by real problems

A

Applied Statistics

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7
Q

The branch of applied statistics directed toward applications in the health sciences and biology

A

BioStatistics

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8
Q

These are used to analyze epidemiological data to aid decision making

A

Methods and Tools of Biostatistics

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9
Q

What are the basic sciences in Public Health

A

Biostatics and Epidemiology

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10
Q

The understanding of disease development and the methods used to uncover the etiology, progression, and treatment of disease

A

Epidemiology

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11
Q

This deals with the stidy of the distribution and determinants of health, disease, or injury in human populatios and the applications of this study to the control of health problems

A

Epidemiology

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12
Q

The complete collection of all measurements or data that is being considered

A

Population

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13
Q

The subcollection of members selected from a population

A

Sample

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14
Q

The numerical measurement describing some characteristic of a population

A

Parameter

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15
Q

The numerical measurement describing some characteristic of a sample

A

Statistic

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16
Q

Facts or figures which information can be drawn

A

Data

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17
Q

The value which remains the same from person to person, from time to time, or from place to place.

A

Constant

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18
Q

This can be measured and ordered according to quantity or amount of value which can be expressed numerically

A

Variable

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19
Q

Also called categorical, this consists of values that can be placed into non-numerical categories

A

Qualitative Data

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20
Q

Also called numerical, this consists of values representing counts or measurements

A

Quantitative Data

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21
Q

MODIFIED TRUE OR FALSE

Numbers that serve as codes, labels, or identifiers are
considered numerical.

A

FALSE; Numbers that serve as codes, labels, or identifiers are considered CATEGORICAL.

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22
Q

This can only take on particular, distinct values and not other values in between

A

Discrete Data

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23
Q

This represents counts, and fixed/ standard values

A

Discrete Data

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24
Q

This has gaps

A

Discrete Data

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25
Q

This can take on any value in a given interval

A

Continuous Data

26
Q

This has no gaps

A

Continuous Data

27
Q

This type of data consists of names, labels, or categories only

A

Nominal Data

28
Q

This data is qualitative and cannot be ordered

A

Nominal Data

29
Q

What can be assigned in nominal data?

A

Numerical Scores

30
Q

What are the examples of Nominal Data?

A

Gender, Hair Color, Blood Type

31
Q

This data can be arranged in order but no quantifiable difference between them

A

Ordinal Data

32
Q

What are examples of Ordinal Data?

A

Level of Satisfaction, Socioeconomic Status, and Degree of Pain

33
Q

In this type of data, intervals are meaningful but ratios are not

34
Q

This has an arbitrary zero point

35
Q

What are the examples of Interval Data?

A

Credit Scores, SAT Scores, Temperature, and Dress Sizes

36
Q

In this type of data, both intervals and ratios are meaningful

37
Q

This has a true zero point

38
Q

What are the examples of Ratio?

A

Height, Enzyme Activity, Drug dose in mL, Pulse Rate (bpm)

39
Q

This has named variables

40
Q

This has named and ordered variables

41
Q

This has named, ordered, and proportionate interval between variables

42
Q

This has named, ordered, proportionate interval between variables, and can accomodate absolute zero

43
Q

EXERCISE (S or P)

In a study of 2500 young professionals, 44.5% of them
said that they texted while driving at least once during the previous 30 days

44
Q

EXERCISE (S or P)

The mean atomic weight of all elements in the periodic table is 134.355 unified atomic mass units.

45
Q

EXERCISE (S or P)

In a study of 300 babies born at selected hospotals in Manila, it was found that the average weight at birth is 3152.0g

46
Q

EXERCISE (S or P)

After a freshwater pont is excavated and filled, it is stocked with 500 rainbow trout with a total weight of 2100 lb.

47
Q

EXERCISE (S or P)

Based on a sample of 877 surveyed executives, it is found that 45% of them would not hire someone with a typographic error on their job application

48
Q

EXERCISE (QL or QN)

Brand names of shoes in a consumer survey

A

QUALITATIVE

49
Q

EXERCISE (QL or QN)

Scores in a multiple-choice exam

A

QUANTITATIVE

50
Q

EXERCISE (QL or QN)

Zip codes of cities in Metro Manils

A

QUALITATIVE

51
Q

EXERCISE (QL or QN)

Finish times of runners in a race (min)

A

QUANTITATIVE

52
Q

EXERCISE (QL or QN)

Incomes of college graduates in pesos

A

QUANTITATIVE

53
Q

EXERCISE (C or D)

Time it takes to finish a 100-item quiz

A

CONTINUOUS

54
Q

EXERCISE (C or D)

Number of times a test is taken

55
Q

EXERCISE (C or D)

US Standard shoe sizes for men (5, 5.5, 6, 6.5, 7)

56
Q

EXERCISE (C or D)

Foot lengths in cm

A

CONTINUOUS

57
Q

EXERCISE (C or D)

Blood Pressure in mmHg

A

CONTINUOUS

58
Q

EXERCISE

Numbers on uniform that identify players on a basketball team

59
Q

EXERCISE

Calendar years of historic events such as 1776, 1945, or 2001

60
Q

EXERCISE

Ice cream flavor preference coded as: 1 = vanilla, 2 =
chocolate, 3 = cookies and cream.

61
Q

EXERCISE

Runners’ times in a marathon (in hours)

62
Q

EXERCISE

Income Level (<50k, 50k-100k, >100k)

BioEpidemiology (1 decks)

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