• Tidak ada hasil yang ditemukan

Lecture-4 - Rama University

N/A
N/A
Protected

Academic year: 2024

Membagikan "Lecture-4 - Rama University"

Copied!
10
0
0

Teks penuh

(1)

FACULTY OF ENGINEERING & TECHNOLOGY

Dr. Vinod Kumar Yadav

Assistant Professor in Mathematics

Rama University Uttar Pradesh, Kanpur

(2)

BSc (AG)

2

nd

Year , IIIrd Sem.

Statistical Methods AES-213

Dr. Vinod Kumar Yadav

Assistant Professor in Mathematics

Rama University Uttar Pradesh, Kanpur

Statistical Methods

(3)

Outline of Lecture

Outline of lecture

 Graphical Representation of data

 Some points to Remember

 General rules of Graphic Presentation of data & Information

 Merits of Graph

 Limitations of Graph

 Test Your Skills (Questions based on Lecture)

 Suggested Readings & References

(4)

Graphical Representation of Data Some points to remember

We measure the distance of the point from the Y-axis along the X-axis. Similarly, we measure the distance of the

point from the X-axis along the Y-axis. Therefore, to measure 3 units from the Y-axis, we move 3 units along the X- axis and likewise for the other coordinate.

We then draw perpendicular lines from these two points.

The point where the perpendiculars intersect is the position of the point P.

We denote it as follows (3,5) or (abscissa, ordinate). Together, they are the coordinates of the point P.

The four parts of the plane are Quadrants.

Also, we can plot different points for a different pair of values.

(5)

Graphical Representation of Data

General Rules for Graphic Presentation of Data and Information:

There are certain guidelines for an attractive and effective graphic presentation of data and information. These are as follows:

1. Suitable Title– Ensure that you give a suitable title to the graph which clearly indicates the subject for which you are presenting it.

2. Unit of Measurement– Clearly state the unit of measurement below the title.

3. Suitable Scale– Choose a suitable scale so that you can represent the entire data in an accurate manner.

4. Index– Include a brief index which explains the different colors and shades, lines and designs that you have used in the graph. Also, include a scale of interpretation for better understanding.

5. Data Sources– Wherever possible, include the sources of information at the bottom of the graph.

6. Keep it Simple– You should construct a graph which even a layman (without any exposure in the areas of statistics or mathematics) can understand.

7. Neat– A graph is a visual aid for the presentation of data and information. Therefore, you must keep it neat and attractive. Choose the right size, right lettering, and appropriate lines, colors, dashes, etc.

(6)

Merits of a Graph

Graphical Representation of Data

 The graph presents data in a manner which is easier to understand.

 It allows us to present statistical data in an attractive manner as compared to tables. Users can understand the

main features, trends, and fluctuations of the data at a glance.

 A graph saves time.

 It allows the viewer to compare data relating to two different time-periods or regions.

The viewer does not require prior knowledge of mathematics or statistics to understand a graph.

 We can use a graph to locate the mode, median, and mean values of the data.

 It is useful in forecasting, interpolation, and extrapolation of data.

(7)

Graphical Representation of Data

Limitations of a Graph

o A graph lacks complete accuracy of facts.

o It depicts only a few selected characteristics of the data.

o We cannot use a graph in support of a statement.

o A graph is not a substitute for tables.

o Usually, laymen find it difficult to understand and interpret a graph.

o Typically, a graph shows the unreasonable tendency of the data and the actual values are not clear.

(8)

Test Your Skills (Fill in the blanks)

1. Draw the four quadrants in X-Y plane…….

2. What is index ……..

3. Write one merit of graph ……

4. Give one demerits of graph ………

Graphical Representation of Data

(9)

Suggested Readings & References

Suggested Readings & References

1) Statistical Methods: P.N. Arora, Sumeet Arora & S. Arora; S. Chand & Company Ltd.

2) Fundamental of Mathematical Statistics: S.C. Gupta & V. Kapoor; Sultan Chand & Sons.

3) Statistics: M.R. Spiegel; Schaum’s Outline Series, Mc-Graw Hill Publication.

4) Advanced Engineering Mathematics: Erwin Kreyszig; John Wiley & Sons Inc.

5) Elements of Statistics: J.P. Chauhan & S. Kumar; Krishna Publication.

(10)

Statistical Methods

Referensi

Dokumen terkait

Statistical Presentation of Data 1 Frequency Distribution 2 Graphical Description of Data Textual Class discussion, Problem Solving and Lecture Problem Set Examination

Problem Approach in Quantitative Problem Approach Students Symbol Representation Graphic Representation Only Explanation of the symbol /graph without manipulated equations

It has further been held as follows: “An Advocate who is found guilty of contempt of court may also, as already noticed, be guilty of professional misconduct in a given case but it is

Figure 1 Graphical presentation of disease frequency of goat 10 Figure 2 Graphical presentation of disease incidence according to sex 11 Figure 3 Graphical presentation of age

3.1.4 Graphical representation of average waterer space in broiler farming 6 3.1.5 Graphical representation of temperature schedule 6 3.1.8 Graphical representation of weight

According to him, law depends not only on the external social pressure which are brought to bear on human beings to prevent them from deviating from the rules but also on the inner

If a coin is tossed 3 times, what is the probability of getting tail all the occurrence of a second event depends on the occurrence of the A is p and the probability of occurrence of

Lecture and Individual or group work Exams, quizzes 3.2 Interpret graphical and qualitative representations of solutions to problems Lecture and Individual or group work Exams,