Descriptive Statistics: Measures of Central Tendency

2021 ◽  
pp. 335-342
Author(s):  
Lisa A. Seidman
1985 ◽  
Vol 12 (2) ◽  
pp. 85-86 ◽  
Author(s):  
Mark A. Shatz

A simulation exercise of a labor-management dispute is used to teach students some of the basics of descriptive statistics, such as measures of central tendency and the nature of distributions. Using comparable data sets generated by the instructor, students work in small groups to develop a statistical presentation that supports their particular position in the dispute.


2020 ◽  
pp. 393-421
Author(s):  
Sandra Halperin ◽  
Oliver Heath

This chapter deals with quantitative analysis, and especially description and inference. It introduces the reader to the principles of quantitative research and offers a step-by-step guide on how to use and interpret a range of commonly used techniques. The first part of the chapter considers the building blocks of quantitative analysis, with particular emphasis on different ways of summarizing data, both graphically and with tables, and ways of describing the distribution of one variable using univariate statistics. Two important measures are discussed: the mean and the standard deviation. After elaborating on descriptive statistics, the chapter explores inferential statistics and explains how to make generalizations. It also presents the concept of confidence intervals, more commonly known as the margin of error, and measures of central tendency.


2019 ◽  
Vol 5 (3) ◽  
Author(s):  
H. Hunaepi ◽  
Ika Nuraini Dewi ◽  
S. Sumarjan

Sasak Tribe possesses unique local wisdom which is potential to be utilized in term of improving students' care attitudes toward the environment. This study aimed at profiling students' evironmental attitudes who were taught using Sasak Tribe local wisdom-integrated model. This descriptive research was designed with a one-shot case study. The sample used in this study was 140 VII graders chosen using random sampling technique. The sample comprised of 3 classes of SMPN 2 Gunung Sari and 3 classes of SMPN 3 Lingsar placed in West Nusa Tenggara-Indonesia. The data analysis technique used was descriptive statistics in term of central tendency. The measured indicators were environmental awareness (EA), developing empathy (DE), and effect handling (EH). The results showed that the students live in suburb area tended to have better environmental care attitudes, in which the mean values were 86.66 (EA), 75.69 (DE), and 42.66 (EH) compared to those who live in urban area in which the mean values were 68.73 (EA), 57.07 (DE), and 30.62 (EH). Based on this findings, further evaluation in several aspects should be done.


Author(s):  
Alese Wooditch ◽  
Nicole J. Johnson ◽  
Reka Solymosi ◽  
Juanjo Medina Ariza ◽  
Samuel Langton

1990 ◽  
Vol 83 (9) ◽  
pp. 744-746
Author(s):  
Robert G. Mogull

Introductory textbooks in applied statistics typically present a discussion of descriptive statistics as well as of inferential techniques. The presentations include measures of central tendency, such as the arithmetic mean, the median, and the mode, with definitions and examples given for each location parameter.


2018 ◽  
Author(s):  
Mohammed R. Dahman

In this chapter a brief introduction of the descriptive statistics is discussed. Followed with thorough explanation of terminologies such as population, sample, etc. after that, I have discussed definitions and classifications of probability distribution. I have discussed all what you have to know about univariate descriptive statistics (i.e. central tendency, dispersion, and shape). Finally, we have had hands on practice The act or process of providing evidence for or showing the truth of something


2017 ◽  
Vol 4 (1) ◽  
pp. 34-38
Author(s):  
Mercedes Arzube Mayorga ◽  
Néstor Orrala Borbor ◽  
Ángel León Mejía ◽  
Lenni Ramírez Flores

 La investigación se realizó en la granja experimental Manglaralto, propiedad de la Universidad Estatal Península de Santa Elena, ubicada en las coordenadas UTM 528944m E y 9796468m S zona 17M datum WGS-84 a 12 msnm, con una topografía inferior al 1%, la investigación tuvo como objetivo determinar el comportamiento productivo de clones de café robusta (Coffea canephora P.), de alta productividad en las condiciones agroecológicas, de Manglaralto Ecuador. Para el establecimiento del ensayo, se utilizaron 23 clones de café robusta, seleccionados por COFENAC en la región amazónica del norte de Ecuador. Los clones fueron dispuestos al azar, cada clon es una unidad experimental representada por 20 plantas, sembradas a una distancia de 3 x 3 metros. Los resultados preliminares se sometieron al análisis de estadística descriptiva, determinándose medidas de tendencia central y de dispersión media aritmética, desviación estándar, coeficiente de variación, entre clones y dentro de los clones. Sin embargo, al cuarto año, se destacan como promisorios en producción los clones 1, 4, 5, 6, 14, 15, 16 y 18. El comportamiento productivo es muy alentador considerando que el clon 1 obtuvo producción de 61 quintales y el clon 15 alcanzo 39,3 quintales de café oro por hectárea, los demás clones enunciados obtienen producción promedio de  42 quintales.AbstractThe research was carried out in the experimental farm Manglaralto, owned by the Peninsula State University of Santa Elena, located at the coordinates UTM 528944m E and 9796468m S zone 17M datum WGS-84 at 12 msnm, with topography of less than 1%, research (Coffea canephora P.), high productivity in the agroecological conditions of Manglaralto Ecuador. For the establishment of the trial, 23 clones of robust coffee, selected by COFENAC in the Amazon region of northern Ecuador, were used. The clones were arranged randomly, each clone is an experimental unit represented by 20 plants, planted at a distance of 3 x 3 meters. Preliminary results were submitted to the descriptive statistics analysis, determining measures of central tendency and mean arithmetic dispersion, standard deviation, coefficient of variation, between clones and within the clones. However, in the fourth year, clones 1, 4, 5, 6, 14, 15, 16 and 18 stand out as promising in production. The productive behavior is very encouraging considering that clone 1 obtained production of 61 quintals and the clone 15 reached 39.3 quintals of gold coffee per hectare, the other clones enunciated obtain average production of 42 quintals.


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