AllFreePapers.com - All Free Papers and Essays for All Students
Search

Probability and Statistics

Autor:   •  September 11, 2017  •  Coursework  •  792 Words (4 Pages)  •  653 Views

Page 1 of 4

In at least 200 total words, explain whether Region in column A of the Dataset is a nominal, ordinal, interval, or ratio variable. Defend your explanation as clearly as possible based on relevant Lecture notes on CANVAS

Answer:

Level of measurement or scale of measure is a classification that describes the nature of information within the numbers assigned to variables. Psychologist Stanley Smith Stevens developed the best known classification with four levels, or scales, of measurement: nominal, ordinal, interval, and ratio. Region in column A of the Dataset is a nominal scale because a discrete classification of data, in which data are neither measured nor ordered but subjects are merely allocated to distinct categories, a variable can be treated as nominal when its values represent categories with no intrinsic ranking; for example, the department of the company in which an employee work. Nominal is from the Latin nomalis, which means “pertaining to names”. It’s another name for a category, Examples of nominal variables include region, zip code, or religious affiliation. A variable can be treated as nominal when its values represent categories with no intrinsic ranking; for example, in the case study of the homework we are having specific regions in the dataset: Eastern Europe and Central Asia = Eastern Europe and Central Asia, Middle East and North Africa = Middle East and North Africa, Europe = Europe, and East Asia and the Pacific = East Asia and the Pacific

So, This elaboration of the data is clearly pointing towards nominal distribution.

Question No.2:

Clearly compare in at least 200 total words (i) the means and (ii) standard deviations of the four regions (Middle East and North Africa, Sub-Saharan Africa, Latin America and Caribbean, and East Asia and the Pacific) in your SPSS outputs for Question 3 above.

Answer:

Life expectancy is a statistical measure of the average time an organism is expected to live, based on the year of their birth, their current age and other demographic factors including sex. Life expectancy at birth reflects the overall mortality level of a population. It summarizes the mortality pattern that prevails across all age groups in a given year children and adolescents, adults and the elderly

According to each region the results are the following:

Life Expectancy in Sub Saharan Africa region :

In this region Life Expectancy of people

...

Download as:   txt (4.7 Kb)   pdf (62.9 Kb)   docx (9.8 Kb)  
Continue for 3 more pages »