Presentation of Data Test

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Presentation of Data Test - 6

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Weekly Quiz Competition

Question 1
1 / -0

Which of the following is not rule for constructing a line graph

A
Both Y-scale and X-scale must be labeled

B
Equal magnitude must be represented by equal distances

C
Y scale must begin at one as origin similarly Y-scale

D
None

Solution

An arithmetic line graph is also called time series graph. In this graph time (hour, day/date, week, month, year, etc.) is plotted along x-axis and the value of the variable (time series data) along y-axis. A line graph by joining these plotted points, thus, obtained is called arithmetic line graph (time series graph). It helps in understanding the trend, periodicity, etc. in a long term time series data.
Question 2
1 / -0

In a bar chart the method used to distinguish one bar from another must be displayed separately such display is called

A
Components

B
Time series

C
Legend

D
None

Solution

Legend is a picture or symbol or colour given to each graph to differentiate the bars with each other.
Question 3
1 / -0

The width of a class interval in a frequency distribution (or bar chart) will be approximately equal to the range of the data divided by the ______________

A
Total of frequency

B
Number of class intervals

C
Highest value in data

D
Lowest value in data set

Solution

For example, if the data is about marks of students in a 100 marks paper, and data is presented in the form of marks 0-10, 10-20, 20-30 etc. The range of the data will be 100-0=100. Number of class intervals are 10. Therefore, width of the class intervals will be 100/10=10.
Question 4
1 / -0

Ogives for more than type and less than type distribution intersect at

A
Mean

B
Median

C
mode

D
origin

Solution

Mean and mode can not be calculated by using graphical method. Only median can be ascertained by constructing ogives.
Question 5
1 / -0

_____ refers to the method or process of presenting data in the form of rows and columns and ____ refers to the actual presentation of data on the form of rows and columns

A
Graph, Table

B
Tabulation, Table

C
Table, Tabulation

D
Tabulation, Graph

Solution

In a tabular presentation, data are presented in rows (read horizontally) and columns (read vertically). The most simple way of conceptualising a table is to present the data in rows and columns alongwith some explanatory notes. Tabulation can be done using one-way, two-way or three-way classification depending upon the number of characteristics involved
Question 6
1 / -0

If the upper limits of the classes and proceed by adding the frequencies that this method will be called

A
More than type ogive

B
Less than type ogive

C
Both

D
None

Solution

For "less than" ogive the cumulative frequencies are plotted against the respective upper limits of the class intervals
Question 7
1 / -0

A ________ becomes a _____ if we draw a line joining mid-points of the tops of all rectangles

A
Histogram, Frequency Polygon

B
Histogram, Frequency

C
Histogram, Frequency Curve

D
Histogram, Frequency distribution

Solution

A frequency polygon is a plane bounded by straight lines, usually four or more lines. Frequency polygon is an alternative to histogram and is also derived from histogram itself. A frequency polygon can be fitted to a histogram for studying the shape of the curve. The simplest method of drawing a frequency polygon is to join the midpoints of the topside of the consecutive rectangles of the histogram.
Question 8
1 / -0

In a cumulative percent frequency distribution, the last class will have a cumulative percent frequency equal to

A
100

B
Zero

C
-1

D
100%

Solution

Cumulative percentage is another way of expressing frequency distribution. It calculates the percentage of the cumulative frequency within each interval, much as relative frequency distribution calculates the percentage of frequency.

The main advantage of cumulative percentage over cumulative frequency as a measure of frequency distribution is that it provides an easier way to compare different sets of data.

Cumulative frequency and cumulative percentage graphs are exactly the same, with the exception of the vertical axis scale. In fact, it is possible to have the two vertical axes, (one for cumulative frequency and another for cumulative percentage), on the same graph.

Cumulative percentage is calculated by dividing the cumulative frequency by the total number of observations (n), then multiplying it by 100 (the last value will always be equal to 100%
Question 9
1 / -0

A tabular summary of a set of data, which shows the frequency of the appearance of data elements in several no overlapping classes is termed

A
a frequency distribution

B
a histogram

C
a frequency polygon

D
the class width

Solution

A frequency distribution is defined as an orderly arrangement of data classified according to the magnitude of the observations.
Question 10
1 / -0

When data are classified according to a single characteristic, it is called:

A
Quantitative classification

B
Qualitative classification

C
Simple classification

D
Area classification

Solution

Simple classification

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Presentation of Data Test - 6

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Presentation of Data Test - 6

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SHARING IS CARING

Question 1

Both Y-scale and X-scale must be labeled

Equal magnitude must be represented by equal distances

Y scale must begin at one as origin similarly Y-scale

None

Solution

Question 2

Components

Time series

Legend

None

Solution

Question 3

Total of frequency

Number of class intervals

Highest value in data

Lowest value in data set

Solution

Question 4

Mean

Median

mode

origin

Solution

Question 5

Graph, Table

Tabulation, Table

Table, Tabulation

Tabulation, Graph

Solution

Question 6

More than type ogive

Less than type ogive

Both

None

Solution

Question 7

Histogram, Frequency Polygon

Histogram, Frequency

Histogram, Frequency Curve

Histogram, Frequency distribution

Solution

Question 8

100

Zero

-1

100%

Solution

Question 9

a frequency distribution

a histogram

a frequency polygon

the class width

Solution

Question 10

Quantitative classification

Qualitative classification

Simple classification

Area classification

Solution

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