M3 Flashcards

1
Q

Information obtained by observing values of a variable is called

A

raw data.

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2
Q

Data obtained by observing values of a qualitative variable are
referred to as

A

qualitative data.

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3
Q

Data obtained by observing values of a quantitative variable are
referred to as

A

quantitative data.

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4
Q

Quantitative data obtained from a discrete variable are also

referred to as

A

discrete data

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5
Q

quantitative data obtained

from a continuous variable are called

A

continuous data.

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6
Q

Data can be classified as

A

grouped or ungrouped data.

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7
Q

are data that are not organized, or if arranged,

could only be from highest to lowest or lowest to highest.

A

Ungrouped data

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8
Q

are data that are organized and arranged into

different classes or categories.

A

Grouped data

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9
Q

can be presented in textual form, as in

paragraph form.

A

Ungrouped data

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10
Q

This involves enumerating the important
characteristics, giving emphasis on significant figures and
identifying important features of the data.

A

textual form

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11
Q

tables. By organizing the data in
X, important features about the data can be readily understood and
comparisons are easily made

A

tables

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12
Q

consists of the table number and the title

A

Table Heading :

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13
Q

It describes the data in each column.

A

Column Header :

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14
Q

It shows the classes or categories.

A

Row Classifier :

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15
Q

This is the main part of the table.

A

Body :

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16
Q

This is placed below the table when the data written

are not original

A

Source Note :

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17
Q

The most commonly used method in presenting data by tabular method is
by constructing a X

A

Frequency Distribution Table.

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18
Q

is the organization of raw data in table

form, using classes and frequencies.

A

frequency distribution

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19
Q

Frequency Distribution Table (FDT) is a statistical table
showing the frequency or number of observations contained in
each of the defined X

A

classes or categories.

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20
Q

frequency distribution for qualitative data X all
categories and the number of elements that belong to
each of the categories

A

lists

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21
Q

The X of a category is obtained by dividing the
frequency(𝑓) for a category by the sum of all the frequencies(𝑛). They
are commonly expressed as percentages

A

relative frequency

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22
Q

frequency distribution for X, the data are grouped according to some numerical characteristics

A

quantitative

distributions

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23
Q

endpoints of a class interval

A

Class Limits –

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24
Q

represents the largest data value that can be

included in the class.

A

. Upper Class Limit -

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25
represents the largest data value that can be | included in the class
Lower Class Limit -
26
used to separate the classes so that there are no gaps in the frequency distribution. The gaps are due to the limits; for example, there is a gap between 30 and 31.
Class boundaries -
27
lower boundary formula
Lower boundary = Lower Limit – 0.5
28
Upper boundary formula
Upper boundary = Upper limit + 0.5
29
the difference between the boundaries for any class., i.e. | i=upper boundary – lower boundary or i=(upper limit-lower limit) +1
. Class width (i)-
30
the midpoint of the class
Class mark -
31
``` total number of observations less than the upper boundary of a class interval ```
• less than cumulative frequency (
32
``` total number of observations greater than the lower boundary of a class interval ```
greater than cumulative frequency (>cf) –
33
The purpose of X in | statistics is to convey the data to the viewers in pictorial form
graphs
34
is a graph composed of bars whose heights are the | frequencies of the different categories.
A bar graph
35
displays graphically the same information concerning qualitative data that a frequency distribution shows in tabular form.
bar graph
36
is also used to graphically display qualitative | data.
pie chart
37
a circle is divided into portions that represent the relative frequencies or percentages belonging to different categories.
pie chart
38
the categories are placed along the horizontal axis and frequencies are marked along the vertical axis
bar graph
39
``` is a graph that displays the data by using contiguous vertical bars (unless the frequency of a class is 0) of various heights to represent the frequencies of the classes. ```
histogram
40
is a graph that displays the data by using lines that connect points plotted for the frequencies at the midpoints of the classes
frequency polygon
41
The frequencies in a frequency polygon are represented by the
heights of the points
42
is a graph that represents the cumulative | frequencies for the classes in a frequency distribution.
ogive
43
``` is a graph in which a point is plotted above each class boundary at a height equal to the cumulative frequency corresponding to that boundary. ```
ogive
44
birth order
ordinal
45
registration number
nominal
46
skin complexion
nominal
47
number of siblings
ratio
48
gender
nominal
49
every seventh customer entering a shopping mall is asked to select his or her favorite store
systematic
50
nursing supervisors are selected using random numbers to determine annual salaries
simple random
51
relative frequency counts the number of observations that are ordered less than the particular class
false
52
the frequency of a category is defined as the number of observations in a data set falling under a category
true
53
class limits and class boundaries are the same
true
54
gathered data should be presented organized, precise, and convenient
false
55
the endpoints of a class interval are called class boundaries
false (class limits)
56
IQ score
interval*
57
grade-level/year-level
?*
58
blood sugar level
interval
59
every 50th bottle of soda in a manufacturing line is checked to determine the amount of soda dispensed by the manufacturer
systematic
60
in a large company, three departments are selected for a physical fitness test
clustered*
61
it is important to keep the width of each class the same in a frequency distribution
true
62
it is impossible to construct a frequency distribution for nominal data
true*
63
in constructing a frequency distribution table, the classes must be mutually exclusive
true
64
class limits are useful in tabulating continuous data
true
65
Volume (in cu. cm)
I
66
religious affiliation
N
67
Blood Type
N
68
Land area (in hectares)
R
69
MAil carriers of a large city are divided into four groups according to gender and according to whether they walk or ride on their routes. Then 10 are selected from each group and interviewed to determine whether they have been bitten by a dog in the last year.
Stratified
70
Nursing supervisors are selected using random numbers to determine annual salaries
simple random
71
The frequency distribution table is the most used tabular presentation of data
true
72
Frequency Distribution Table can be constructed for sets of Nominal data
true
73
class limits are used in tabulating continuous data
true