Data Exploration, Descriptive Statistics, and Measures of Central Tendency

2013 ◽  
pp. 5-16
Author(s):  
Thomas W. MacFarland
Keyword(s):  
Descriptive Statistics ◽  
Data Exploration ◽  
Central Tendency

The Greyhound Strike: Using a Labor Dispute to Teach Descriptive Statistics

1985 ◽  
Vol 12 (2) ◽  
pp. 85-86 ◽  
Author(s):  
Mark A. Shatz
Keyword(s):  
Small Groups ◽  
Descriptive Statistics ◽  
Labor Dispute ◽  
Data Sets ◽  
Central Tendency ◽  
Comparable Data ◽  
Labor Management ◽  
Simulation Exercise

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.

15. Quantitative Analysis: Description and Inference

2020 ◽  
pp. 393-421
Author(s):  
Sandra Halperin ◽  
Oliver Heath
Keyword(s):  
Quantitative Analysis ◽  
Standard Deviation ◽  
Confidence Intervals ◽  
Quantitative Research ◽  
Building Blocks ◽  
Descriptive Statistics ◽  
Central Tendency ◽  
Margin Of Error ◽  
Univariate Statistics ◽  
The Mean

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.

scholarly journals Profiling students’ environmental care attitudes taught using Sasak Tribe local wisdom-integrated model

2019 ◽  
Vol 5 (3) ◽  
Author(s):  
H. Hunaepi ◽  
Ika Nuraini Dewi ◽  
S. Sumarjan
Keyword(s):  
Sampling Technique ◽  
Integrated Model ◽  
Descriptive Statistics ◽  
Central Tendency ◽  
Mean Values ◽  
Environmental Care ◽  
Descriptive Research ◽  
Analysis Technique ◽  
The Mean

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.

Descriptive Statistics: Measures of Central Tendency

2021 ◽  
pp. 61-76
Author(s):  
Alese Wooditch ◽  
Nicole J. Johnson ◽  
Reka Solymosi ◽  
Juanjo Medina Ariza ◽  
Samuel Langton
Keyword(s):  
Descriptive Statistics ◽  
Central Tendency

Popular Measures of Central Tendency

1990 ◽  
Vol 83 (9) ◽  
pp. 744-746
Author(s):  
Robert G. Mogull
Keyword(s):  
Location Parameter ◽  
Arithmetic Mean ◽  
Descriptive Statistics ◽  
Applied Statistics ◽  
Central Tendency ◽  
Introductory Textbooks

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.

scholarly journals AMSM- Univariate Descriptive Statistics-Chapter Two

2018 ◽  
Author(s):  
Mohammed R. Dahman
Keyword(s):  
Probability Distribution ◽  
Population Sample ◽  
Descriptive Statistics ◽  
Central Tendency ◽  
Hands On

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

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