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BIOSTATS > SAS 9 > Flashcards

SAS 9 Flashcards

1
Q

refers to a set of pertinent activities such as collection organization presentation analysis and interpretation of quantitative data

A

statistics

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2
Q

it is a field of study which deals with the mathematical characterization of a group or group of items

A

statistics

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3
Q

refers to the process of gathering numerical information

A

collection of data

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4
Q

methods of gathering pertinent information include

A

interview
questionnaire
experiments
observations
documentary analysis

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5
Q

in appropriate tablets or graphs

A

presentation of data

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6
Q

refers to frequency distributions which may either one dimensional or two dimensional

A

tables

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7
Q

include bar graphs frequency polygon pie graph and many others

A

graphical presentation

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8
Q

refers to the activity of describing the properties or behavior off data of the possible correlation of different quantities or variables

A

analysis of data

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9
Q

has to be made based on the preliminary activities and other statistical methods. such methods involve testing the significance of the results

A

interpretation

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10
Q

steps in statistical inquiry

A

collection of data
presentation of data
analysis of data
interpretation

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11
Q

is the branch of applied statistics that concerns the application of statistical methods to medicine and biological problems.

A

biostatistics

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12
Q

it is the analysis of data that derived from biological sciences and medicine

A

biostatistics

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13
Q

the varies of the plant we should grow and the best combinations fertilizers, pesticides and densities

A

agriculture

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14
Q

research and experimentation in life processes plants and animals promote growth or prolong life

A

biology

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15
Q

production, distribution, sale merchandise, auditing and accounting procedures

A

business

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16
Q

composition, distribution, growth of human populations, birth, death, immigration rates, social economic standing of the population

A

demography

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17
Q

production, resources, trade, labor force, consumers and procedure responses to products and changes in prices, advertising system and distributions

A

economics

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18
Q

teaching-learning process, measurement and evaluation, educational studies enrallment, management and finance

A

education

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19
Q

design and test performance, quality control

A

engineering

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20
Q

the increase of birth defects and death toll near nuclear power plants

A

environmental studies

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21
Q

taxes and wages, materials resources movement of population election

A

government

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22
Q

public health program hospitalization problems of medical care occurrence and cost disease, accidents and handicaps

A

health

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23
Q

causes, diagnosis, treatment, and prevention of communicable and non-communicable diseases

A

medicine

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24
Q

probability’s statistical theories and methods

A

research and statistics

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25
Q

social system and social welfare, behavior patterns of groups of people

A

social sciences

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26
Q

points made out of so many attempts from the field of foul from the line such as basketball football

A

sports

27
Q

statistics has the same meaning as the latin word _______ which means a fact or information

A

datum

28
Q

are the raw material which the statistician works.

A

data

29
Q

it can be a person who simply collects information or one who prepares analysis or interpretations

A

statistician

30
Q

two areas of statistics

A

descriptive statistics
inferential statistics

31
Q

refers to the field of statistics that includes the methods of collecting, classifying, graphing, and averaging data with the objective of simply describing the properties or characteristics of the data at hand. Thus, the task of the statistician on this area is simply to select a few procedures, do some averaging, and eventually be able to identify significant figures of the given data.

A

descriptive statistics

32
Q

it demands somewhat higher degree of critical judgment and advanced mathematical models.
This field is concerned with drawing conclusions or generalizations from organized data. Thus the task of the statistician here is not just to device ways to give summary description of the data but to devise ways, to test significance of the results

A

inferential statistics

33
Q

Based on the research conducted by DOH, 63% of those found to have diabetes were not that they have such disease
Cigarettes were associated with 29% of the 4,470 civilian deaths in 1989

A

descriptive statistics

34
Q

Drinking red wine may reduce the risk of heart disease by 12%
• Aspirin may lower the rate of heart attack by 50%
Carrot juice may strengthen the lungs

A

inferential statistics

35
Q

refers to the totality of all objects under study.

A

population

36
Q

refers to the method of getting a small part of the population.

A

sampling

37
Q

That small part that serves as the representative of the population is called a

A

sample

38
Q

is a subgroup of the population.

A

sample

39
Q

The measures of the population are called ______ while those of the sample called

A

parameters
estimates or statistics

40
Q

is the population size

A

N

41
Q

is the margin of error

A

e

42
Q

is the sample size

A

n

43
Q

represent differences in quantity, character, or kind but not in amount. Examples are sex, birthplace or geographic locations, religious preference, marital status, and eye color. Characteristics

A

qualitative variables

44
Q

are numeric in nature and can be ordered or ranked. Examples of quantitative variables are weight, height, age, test scores, speed and body temperatures. Numerical

A

quantitative variables

45
Q

two types of variables or data

A

qualitative variables
quantitative variables

46
Q

Quantitative variables are further classified as either

A

discrete or continuous

47
Q

a variable whose values can be counted using integral values such as the gumberet
enrollees, drop outs, graduates in a certain college, deaths, number of employees. It assumes integral values.

A

discrete variable

48
Q

a variable that can assume any numerical value over an interval or intervals. Examples include height, weight, temperature, time, pressure in a tire, and a number of miles driven. yields decimal or fraction

A

continuous variable

49
Q

two main types of data

A

primary
secondary

50
Q

assigning a numerical value to a variable is a process called

A

measurement

51
Q

relates to the rules used to assign scores and is an indicator of the kind of information that the scores provide.

A

scale of level of measurement

52
Q

four levels of scale of measurement

A

nominal data
ordinal data
interval scales
ratio data

53
Q

use numbers for the purpose of identifying name or membership in a group or category. All quantitative variables are measured on a nominal scale. Observations can be classified and counted without a particular order or ranking imposed on the data.

A

nominal data

54
Q

connote ranking or inequalities. One category is higher than the other one. In this type of data, numbers represent “greater than” or “less than” measurements, such as preference rankings. Convalescing patients may be characterized as unimproved, improved, and much improved. Individuals may be classified according to socioeconomic status as low, medium, or high

A

ordinal data

55
Q

indicate an actual amount and there is equal unit of measurement separating each score, specifically equal Intervals. Interval data do not only include “greater than” and “less than” relationships, but also has a limit of measurement that permits us describe how much more or less one object possesses than other.

A

interval data

56
Q

are similar to interval data, but has an absolute zero and multiplies are meaningful. Ratio data include all the usual measurements of length, height, weight, area, volume, density, velocity, money, and duration. These are the highest level of measurement.

A

ratio data

57
Q

Classifying survey subjects as male or female (gender)
Classifying residents according to zip codes
Political party (KBL,LABAN, LP)
о
Religion (Catholic, Protestant)
Marital status (married, divorced, widowed, separated)

A

nominal data

58
Q

Social class or incomes
Ordering of viands by preference
о
Responses to items on an instrument (always, sometimes, never)
Grades (A, B,C, D,F)
о
Rating scales ( based on scores or percentages)

A

ordinal data

59
Q

The difference between 2 and 3 is the same difference between 3 and 4.
The 4 kilos of corn is twice that of 2 kilos
Fahrenheit temperature
Score on test as a measure of knowledge
Aptitude test scores

A

interval scales

60
Q

Election vote
Speed of a production line
Average daily delivery of 1000 packages per day
Horsepower of motorcycle engines
Salaries of cashiers of day -night grocery stores.

A

ratio data

61
Q

the characteristic that is being studied is called

A

variable

62
Q

is a characteristic that takes two or more values which varies across individuals

A

variable

63
Q

can be gathered throughout different ways such as interviewing people, observing or inspecting items using questionnaires and checklist

A

statistical data or information

BIOSTATS (2 decks)

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