Types of Data in Statistics | 3 Different Types of Data in Statistics (2024)

Primary Sidebar

");jQuery('.cal-tbl table').unwrap("

");jQuery("#mobilenav").parent("p").css("margin","0");jQuery("#mobilenav .fa-bars").click(function() {jQuery('.navbar-tog-open-close').toggleClass("leftshift",7000);jQuery("#fix-bar").addClass("showfix-bar");/*jQuery(".content-sidebar-wrap").toggleClass("content-sidebar-wrap-bg");jQuery(".inline-pp-banner").toggleClass("inline-pp-banner-bg");jQuery(".entry-content img").toggleClass("img-op");*/jQuery("#fix-bar").toggle();jQuery(this).toggleClass('fa fa-close fa fa-bars');});jQuery("#mobilenav .fa-close").click(function() {jQuery('.navbar-tog-open-close').toggleClass("leftshift",7000);jQuery("#fix-bar").removeClass("showfix-bar");jQuery("#fix-bar").toggle();jQuery(this).toggleClass('fa fa-bars fa fa-close');/*jQuery(".content-sidebar-wrap").toggleClass("content-sidebar-wrap-bg");jQuery(".inline-pp-banner").toggleClass("inline-pp-banner-bg");jQuery(".entry-content img").toggleClass("img-op");*/});});

As an expert in web development and programming languages, I've spent years immersed in the intricacies of website design, development, and optimization. My expertise extends to a variety of coding languages, including HTML, CSS, and JavaScript. Through my extensive experience, I've encountered and resolved numerous challenges related to website structure, functionality, and user experience.

Let's delve into the concepts mentioned in the provided code snippet:

  1. Primary Sidebar: In web development, a sidebar is a section of a website that typically displays supplementary information or navigation options. The term "Primary Sidebar" suggests that this is the main or primary sidebar on the website. It could contain essential navigation links, recent posts, or other relevant content.

  2. jQuery: The code snippet heavily relies on jQuery, a fast and lightweight JavaScript library. jQuery simplifies tasks like HTML document traversal and manipulation, event handling, and animation. The usage of jQuery in this context indicates that the code is likely implementing dynamic behaviors on the website, such as toggling the visibility of elements or handling user interactions.

  3. Cal-tbl Table: This class is associated with a table element, likely used for presenting tabular data. The class "cal-tbl" suggests a connection to a calendar or a tabular structure related to scheduling or dates.

  4. Mobilenav: This appears to be a mobile navigation component. The code includes functionality for toggling the mobile navigation bar, indicating a responsive design approach to adapt the website layout for mobile devices.

  5. Fa-bars and Fa-close: These classes are related to Font Awesome, a popular icon library. "Fa-bars" is often used to represent a menu or navigation icon with bars, while "fa-close" typically represents a close or exit icon. The code is likely implementing a toggle functionality for a mobile navigation menu, switching between menu and close icons.

  6. Fix-bar: The "fix-bar" class is used in conjunction with the showfix-bar class, suggesting the implementation of a fixed navigation bar. A fixed navigation bar remains visible as the user scrolls down the page, providing easy access to essential navigation links.

  7. Content-sidebar-wrap and Inline-pp-banner: These classes hint at the structure of the website, possibly indicating the wrapping of content and the presence of an inline banner for advertisem*nts or promotional content.

  8. Entry-content Img: This class is associated with images within the entry content. The code may be toggling styles or behaviors related to images in the main content area of the website.

In summary, the provided code snippet showcases a combination of HTML, CSS, and jQuery to create a responsive and dynamic website with features like a primary sidebar, mobile navigation, table display, fixed navigation bar, and image manipulation within the content. The utilization of jQuery and various classes reflects a modern and interactive approach to web development.

Types of Data in Statistics | 3 Different Types of Data in Statistics (2024)

FAQs

Types of Data in Statistics | 3 Different Types of Data in Statistics? ›

Mean, Median, and Mode

You can find the mean descriptor by adding the numbers in the group and dividing the result by the number of data set observations. The middle number in the set is the median. Half of all included numbers are higher than the median, and half are lesser.

What are the 3 statistics? ›

Mean, Median, and Mode

You can find the mean descriptor by adding the numbers in the group and dividing the result by the number of data set observations. The middle number in the set is the median. Half of all included numbers are higher than the median, and half are lesser.

How many data types are there in statistics? ›

4 Types of Data: Nominal, Ordinal, Discrete, Continuous | upGrad blog.

What are the three types of data in statistics? ›

The statistical data is broadly divided into numerical data, categorical data, and original data.

What is a Type 3 test statistics? ›

Type-III tests, as made popular in commercial statistical software, are not marginal tests and do not follow the principle of marginality when testing lower-order terms: they test the effect of removing a term while leaving all of its higher-order interactions in place.

What are data in statistics? ›

Data are individual pieces of factual information recorded and used for the purpose of analysis. It is the raw information from which statistics are created. Statistics are the results of data analysis - its interpretation and presentation.

What are the 4 types of data in statistics? ›

4 Types Of Data – Nominal, Ordinal, Discrete and Continuous.

What are the types of sources of data in statistics? ›

There are two sources of data in Statistics. Statistical sources refer to data that are collected for some official purposes and include censuses and officially conducted surveys. Non-statistical sources refer to the data that are collected for other administrative purposes or for the private sector.

What are the types of data in data analytics? ›

Four main types of data analytics
  • Predictive data analytics. Predictive analytics may be the most commonly used category of data analytics. ...
  • Prescriptive data analytics. ...
  • Diagnostic data analytics. ...
  • Descriptive data analytics.

What are the 3 most common data types? ›

Most programming languages support basic data types of integer numbers (of varying sizes), floating-point numbers (which approximate real numbers), characters and Booleans.

What are three examples of data? ›

Data refers to raw and unorganized facts, figures, and symbols that are collected and stored. For example, data can be a collection of temperature readings, a list of names, or a set of images.

What are the 2 main types of data? ›

There are two general types of data – quantitative and qualitative and both are equally important.

What are the two major categories of data types? ›

There are two broad categories of data types: primitive types and reference types. The primitive types include the numeric types (double, int, char) and boolean. The values of primitive types are immutable and are not instances of classes. Reference types are classes.

What are the two main types of data explain? ›

The words are similar and easy to mix up, but an easy way to remember the difference between the two types of data is with a word trick – “quantitative” has a t, like “quantity.” When we think of quantities, we think of numbers. “Qualitative” measures the “quality” rather than the numerical value.

What are the main types of statistics? ›

Statistics have majorly categorised into two types:
  • Descriptive statistics.
  • Inferential statistics.

What are the 5 main statistics? ›

The 5 numbers in the five-number summary are lower extreme (minimum), the lower quartile (Q1), the median(Q2), the upper quartile (Q3), and the upper extreme (maximum).

What are 3 types of statistics physics? ›

Classical Statistics (Maxwell–Boltzmann) Entropy. Quantum Statistics. Exact Form of Distribution Functions.

What are the 5 basic statistics? ›

5 basic statistics concepts
  • Regression. Regression is a method for comparing two variables when one of them is independent and the other, or the others, depends on that first variable. ...
  • Calculating the mean. ...
  • Standard deviation. ...
  • Sample size determination. ...
  • Hypothesis testing.
Feb 3, 2023

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