{"id":204271,"date":"2025-03-21T16:39:10","date_gmt":"2025-03-21T16:39:10","guid":{"rendered":"https:\/\/learnexams.com\/blog\/?p=204271"},"modified":"2025-03-21T16:39:12","modified_gmt":"2025-03-21T16:39:12","slug":"yearly-salary-is-an-example-of-__-data","status":"publish","type":"post","link":"https:\/\/www.learnexams.com\/blog\/2025\/03\/21\/yearly-salary-is-an-example-of-__-data\/","title":{"rendered":"Yearly Salary is an example of __ data"},"content":{"rendered":"\n

Yearly Salary is an example of __<\/em><\/strong> data.<\/p>\n\n\n\n

a.nominal<\/p>\n\n\n\n

b.ordinal<\/p>\n\n\n\n

c.interval<\/p>\n\n\n\n

d.ratio<\/p>\n\n\n\n

The correct answer and explanation is :<\/strong><\/mark><\/p>\n\n\n\n

The correct answer is:<\/p>\n\n\n\n

d. Ratio<\/strong><\/p>\n\n\n\n

Explanation:<\/h3>\n\n\n\n

Yearly salary is an example of ratio data<\/strong>, which is a type of quantitative data. Ratio data is the highest level of measurement in statistics and possesses the following characteristics:<\/p>\n\n\n\n

    \n
  1. Numeric Values<\/strong> \u2013 Yearly salary is expressed in numerical terms (e.g., $50,000, $75,000).<\/li>\n\n\n\n
  2. Meaningful Order<\/strong> \u2013 Salaries can be ranked in order, meaning a person earning $80,000 per year earns more than someone making $60,000 per year.<\/li>\n\n\n\n
  3. Equal Intervals<\/strong> \u2013 The difference between two salaries (e.g., $60,000 and $80,000) is the same as another equal difference (e.g., $90,000 and $110,000). The intervals between values are meaningful and consistent.<\/li>\n\n\n\n
  4. Absolute Zero<\/strong> \u2013 Ratio data has a true zero point, meaning the absence of the quantity being measured. A salary of $0 means no earnings at all. This distinguishes ratio data from interval data, which does not have a meaningful zero (e.g., temperature in Celsius, where 0\u00b0C does not indicate the absence of temperature).<\/li>\n\n\n\n
  5. Ratio Comparisons<\/strong> \u2013 Because of the absolute zero, meaningful ratio comparisons can be made. For example, someone earning $100,000 per year makes twice<\/strong> as much as someone earning $50,000 per year.<\/li>\n<\/ol>\n\n\n\n

    Why Other Options Are Incorrect:<\/h3>\n\n\n\n
      \n
    • Nominal (a)<\/strong>: Nominal data consists of categories without any inherent order (e.g., job titles, department names). Salary is numerical and has a clear order, so it is not nominal.<\/li>\n\n\n\n
    • Ordinal (b)<\/strong>: Ordinal data has an order but does not have equal intervals (e.g., employee satisfaction levels: “Satisfied,” “Neutral,” “Dissatisfied”). Salary has meaningful differences, so it is not ordinal.<\/li>\n\n\n\n
    • Interval (c)<\/strong>: Interval data has meaningful differences but lacks a true zero (e.g., temperatures in Celsius). Salary has a true zero, so it is not interval data.<\/li>\n<\/ul>\n\n\n\n

      Thus, yearly salary is best classified as ratio data<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"

      Yearly Salary is an example of __ data. a.nominal b.ordinal c.interval d.ratio The correct answer and explanation is : The correct answer is: d. Ratio Explanation: Yearly salary is an example of ratio data, which is a type of quantitative data. Ratio data is the highest level of measurement in statistics and possesses the following […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[25],"tags":[],"class_list":["post-204271","post","type-post","status-publish","format-standard","hentry","category-exams-certification"],"_links":{"self":[{"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/posts\/204271","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/comments?post=204271"}],"version-history":[{"count":0,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/posts\/204271\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/media?parent=204271"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/categories?post=204271"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/tags?post=204271"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}