Biostatistic Flashcards

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1
Q

The numerical data have been artificially created,but none of the numbers have any numerical meaning.such as assigning numbers to gender say (1) male and (2) female.

A

Nominal data

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2
Q

Is a data for which numerical order is meaningful. Such as military ranks,teaching position.

A

Ordinal data

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3
Q

Set of data in which we can form differences of measurement but cannot multiply or divide.example temperature

A

Interval Data

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4
Q

Data which we can form multiples and quotients as well as difference. Example weight,height,length,number of people and amount of monetary transactions.

A

Ratio data

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5
Q

A method of drawing out a sample from a population without definite plan,purpose or pattern.

A

Sampling

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6
Q

A method by which every element of a population has a chance of being included in a sample.

A

Random sampling

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7
Q

The best known and most commonly used prop-ability sample. A method of selecting sample from universe such that each member has equal chances of being included in the sample.

A

Simple random sampling

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8
Q

A sampling technique with random start.

A

Systematic random sampling

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9
Q

Specifically used when the population can naturally be classified into groups or strata.

A

Stratified random sampling

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10
Q

Used when population is divided into groups or cluster. A sampling technique where group not the individual are selected.

A

Cluster sampling

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11
Q

Rarely used sampling technique because of the complexity’s of its strategy and also because it incurs a lot of effort.

A

Multi-stage sampling

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12
Q

A sampling strategy based on the convenience of the researcher. Sometimes called networking sampling.

A

Accidental or convenience sampling

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13
Q

The researcher select a particular group based on a particular criteria.

A

Purposeful or judgement sample

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14
Q

Oftentimes used to infinite population and therefore the researcher cannot get a random sample.

A

Quota sample

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15
Q

A collection of information about the study under investigation.

A

Data

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16
Q

is used when the data presented are few. The data is presented in either paragraph or narrative form.

A

Textual

17
Q

is a systematic way of arranging data in columns and rows according to classification or categories. It is used when data presented is in more detailed information.

A

Tabular

18
Q

way of presenting data by means of graph. It is a pictorial representation of a set of data.

A

Graphical

19
Q

used to show changes between two quantitative data. Relationship between this data is graphed in a rectangular coordinate plane.

A

Line Graph

20
Q

use to make a direct visual comparison of data. The bars in the graph maybe drawn horizontally or vertically to represent the information.

A

Bar Graph

21
Q

represented by a circle divided into parts. It shows the relationship among parts as well as the relationship of part to the whole.

A

Circle or Pie Graph

22
Q

uses pictures or icons to represent the quantities being represented.

A

Pictograph

23
Q

Is constructed as a sequence of vertical rectangles by marking off the TCB along horizontal with its base equal to the class interval and the height corresponding to the class frequency.

A

Histogram

24
Q

is a simple line graph joining the midpoint of the bars of the histogram.

A

Frequency polygon

25
Q

is constructed by plotting the cumulative frequency of each class against the TCB.

A

Frequency Ogive

26
Q

is constructed by plotting the less than cumulative frequency of each class against the upper TCB of the corresponding class. The point representing the cumulative frequency are then joined by a straight line.

A

Less than Ogive

27
Q

make use of the greater cumulative frequency of each class against LTCB of the corresponding class.

A

Greater than Ogive

28
Q

present a graphical display of the data using the actual numerical values of each data point.

A

Stem and Leaf Plot

29
Q

is the arrangement of numerical data according to size or magnitude. A tabular presentation of qualitative or quantitative data grouped into categorical or non-overlapping numerical intervals called classes.

A

Frequency distribution table (FDT)

30
Q

the number of occurrences of a measurement.

A

Frequency

31
Q

the difference between the lowest and the highest value in the set of data.

A

Range

32
Q

the lowest and highest data values for a class.

A

Class Limit

33
Q

are the average of the upper limit of one class and the lower limit of the next class.

A

Class Boundaries

34
Q

is the number entries in class divided by total number of entries.

A

Relative Frequency

35
Q

is the total of all class frequencies up to and including the present class.

A

Cumulative Frequency

36
Q

The most common, effective, stable, reliable with least probable error measure of central tendency.

A

Mean

37
Q

Known as the middlemost point in the frequency distribution. Best measure of central tendency when the distribution is irregular or skewed. It is the centermost score in the set of data.

A

Median

38
Q

The most frequent occurring score in the set of data. It is always a real value because it does not fall on zero. It is simple to approximate especially when the number of cases is small. It is classified as unimodal, bimodal, or trimodal.

A

Mode