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STATISTICS AND DATA COMPUTING

VIRDA ZIKRIA, S.P., MS.C

March 2

nd

, 2020

MEDAN AREA UNIVERSITY

FACULTY OF AGRICULTURE

AGRIBUSINESS

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COURSE CONTRACTS

COURSE IDENTITY

Course Title Statistics and Data Computing

Course Code FT 20009

Course Credit 2 + 1 (SKS)

Lecturers Prof. Ir. Zulkarnain L, MS, Ph.D/ Virda Zikria, S.P., M.Sc

 

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COURSE DESCRIPTION

Statistics and Data Computing Courses include aspects of data presentation, data processing, data analysis and presenting data as decision making material. This material covers the notion of descriptive and inferential statistics. Descriptive statistics consist of the size of the concentration of data, the size of the data distribution and the size of the data form. Statistics Inference includes the distribution (t-student and Z Distribution).

Comparative Test (two samples, two correlated samples and ANOVA), and simple and multiple regression analysis. Besides manually also using SPSS and Minitab software tools.

ACHIEVEMENT OF LEARNING COURSES

1. Students are able to use appropriate statistical methods in solving problems that occur and research the Department of Agribusiness in a rational and objective manner

2. Students are able to analyze problems and agribusiness research using statistical program that promotes the objectivity of the data.

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LEARNING METHOD  

This lecture takes place through the Student Center Learning (SCL) learning strategy with methods including lectures, contextual learning, discovery learning, small group discussions, book

reviews.

SOFT SKILL ATTRIBUTE  

Soft skill attributes that will be developed for students through lectures are initiative,

objective, analytical and logical.

QUALITY CONTROL  

The quality control of lectures is carried out through independent and structured assessments, discussion activities, case research reports, presentations and soft

skill displays.

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EVALUATION

 

The evaluation was done by combining the value of student achievement in quality control of all items by using the

following formula:

- Participation = 10%

- Homework= 50%

- Mid-term = 20%

- Final= 20%

Based on the quality control items the final grades of students are obtained

Note:

a. Students who can take the Midterm and Final Exams are students who have taken 75% of the courses. For

students whose attendance is insufficient 75%, the

faculty may not allow them to take the Midterm and Final Exams.

b. Lecturers must fill in the points on each component and the value is not outside the

specified range and the total is 100%

c. Faculties through meetings can determine the

percentage of assessments within the range that we have set.

ASSESSMENT  

Assessment of students is determined by students' own learning outcomes using the

Norms Reference Assessment System

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ACADEMIC NORMA / COURSE OF CONDUCT  

a. Students must attend on time. Students who are late are more than 15 not allowed to take lectures

b. Students who are absent for reasons justified according to regulations, submit a letter of permission to the lecturer at the latest on the day next lecture

c. If the lecturer cannot be present on the schedule that has been set for some reason, then lecturers are required to provide information to students no later than 1 day before lecture schedule.

d. If the lecturer is absent after 15 minutes of the lecture schedule, the student has the right to contact the lecturer by asking the clerk / lecturer picket about lectures carried out or not. If the lecturer does not come within 2 x 15 minutes of the lecture schedule, the student has the right not to participate lectures at that time and lectures are considered not carried out.

e. Students must submit group or individual assignments lecturer time will be determined later

f. Students must dress neatly and politely when attending lectures and not may wear slipper.

g. Students are forbidden to turn on their cellphones, eat, smoke at a time when lectures take place.

RANGE OF VALUE  

 

A = ≥ 85

B+ = 77,5 – 84,9 B = 70 – 77,4 C+ = 62,5 – 69,9 C = 55 – 62,49 D = 45 – 54,9 E = ≤ 44,9

Not pass value which formerly K, can be given if the student does not take the classes or attendance less than 75% or not attend Final

Exam.

Not pass = 0 (zero) weight and the student cannot take the Short Semester for the course.

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WHAT IS STATISTICS ?

STATISTICS IS A FORM OF MATHEMATICAL ANALYSIS THAT USES

QUANTIFIED MODELS, REPRESENTATIONS AND SYNOPSES FOR A

GIVEN SET OF EXPERIMENTAL DATA OR REAL-LIFE STUDIES.

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 COLLECTING DATA

 SUMMARIZE/PRESENT DATA

 ANALYZE DATA WITH CERTAIN METHODS

 INTERPRET THE RESULTS OF THE ANALYSIS

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Some statistical measures include the following:

 Mean

 Regression Analysis

 Skewness

 Kurtosis

 Variance

 Analysis of variance

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ROLE OF STATISTICS IN AGRIBUSINESS

 AS A COMMUNICATION TOOL THAT PRODUCES DATA AND CONNOISSEURS OF DATA,

 AS A TOOL OR METHOD OF AGRICULTURAL DATA DESCRIPTION,

 AS A TOOL OR REGRESSION METHOD,

 AS A TOOL OR CORRELATION METHOD,

 AND AS A COMPARATIVE TOOL OR METHOD

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