Indeed, upgrades for iPads and iPhones are always free, despite the fact that making each upgrade will have cost Apple tens of millions of dollars. When you buy an Apple computer it comes installed on it, and any upgrades are priced below £20. However, many people prefer the look and feel of Mac OS X. One reason for this is that Apple computers tend to be more expensive. Apple also offers a version called Mac OS X Server, which is designed to be run on servers.Īccording to StatCounter Global Stats, Mac OS X users account for 6.3% of the operating systems market as of June 2011 - much lower than the percentage of Windows users (over 90%). All of the recent versions are known as Mac OS X (pronounced Mac O-S Ten), and their specific version names are Mountain Lion (released in 2012), Lion (2011), and Snow Leopard (2009). It comes preloaded on all new Macintosh computers, or Macs. Mac OS is a line of operating systems created by Apple Inc. Microsoft are now hoping that Windows 8 rebuilds their fortune, but with competitors such as Apple and Google releasing their own excellent operating systems, it seems likely that Windows 8 will only be massively popular in businesses. Windows Vista was criticized heavily for being difficult to use and slow, and in many ways it made Microsoft a less successful company. Windows XP was in common use for a long time, and it built Microsoft into one of the biggest companies in the world. Windows comes preloaded on most new PCs, which helps to make it the most popular operating system in the world. Microsoft created the Windows operating system in the mid-1980s. Over the years, there have been many different versions of Windows, but the most popular ones are Windows 7 (released in 2009), Windows Vista (2007), and Windows XP (2001). Before GUIs, computers had a command-line interface, which meant the user had to type every single command to the computer, and the computer would only display text.
0 Comments
Stratified random sampling -In this method, you divide the population into smaller sub-groups called strata.For example, you select the first target member for sampling randomly and then select the rest in a predetermined fashion thereafter, say every third member of the group or say, every fifth member of the population. Systematic random sampling – In this, each member of the population is selected from a preset or ordered sampling frame.Simple random sampling – In this, each member of the targeted population has an equal probability of being selected for sampling.It allows you to reach out to your target population and collect data in the most effective way possible with a representative sample.Īdditionally, you can opt for any of the following sampling techniques as per your convenience and requirement. Probability sampling is a great way to eliminate sampling bias. You can collect quantitative data in many different ways. Statistically, the geometric or harmonic mean is calculated in ratio data while the arithmetic mean is calculated in interval data.Ī few examples of continuous data include: This type of quantitative data is usually represented using a line graph as a line graph aptly illustrates the data changes occurring over a period of time.Ĭontinuous data can be further divided into two types, namely, ratio data and interval data. Thus, the value will vary over a given period of time, depending on when you seek the data. This value has a tendency to fluctuate over time. On the other hand, continuous data is data that can take any value. This type of data is usually represented using tally charts, bar charts, and pie charts. Thus, you can easily identify discrete quantitative data by questioning whether the given data can be counted or not. Discrete data is also known as attribute data. These values are typically counted in whole numbers and cannot be broken down into smaller units. Let’s explore the two types of data in detail.ĭiscrete data is data that can be expressed in specific values. In simple terms, Discrete data is countable and Continuous data is measurable. There are two main types of quantitative data. However, you must try and identify relevant groups and descriptions to make sense of the data. Such data cannot be used for statistical analysis. |
AuthorSlava ArchivesCategories |