‘Studies is a flashcard app for the serious student. More than 20 million students study for free with Quizlet each month!’ Create your own flashcards and study sets or choose from millions created by other students - it’s up to you. ‘Quizlet is the easiest way to practice and master what you’re learning. Hold 10+ million students and 400+ million flashcards in the palm of your hand!’ ‘The StudyBlue app is like getting magical powers to transform everything from a music festival bathroom line to boring bus/train/plane trips into productive study time. This is the ultimate online flashcard & notecard tool for high school and college students, and those studying hard for the SAT, ACT, GRE and other standardized tests.’ ‘Memorize like a pro with Flashcards+ by Chegg, the fast, fun, free flashcard maker designed to help you learn things more quickly and ace your toughest classes. We invite you to check them out and share with us your feedback. Some of these apps even allow students to share their flashcards with others, listen to their material being read in several languages, include pictures and sounds in their cards and many more. Students can design their own digital flashcards or access those created by others. Students can use them to help with memorizing vocabulary, preparing for a test, learning a new language…etc. If there are differences in blood pressure between the two pills then we can know that gender is not the underlying cause of these differences.Here is a collection of some of our favourite apps for creating flashcards on iPad or iPhone. The benefit of this approach is that researchers can directly control for any effect that gender may have on blood pressure since we know that males and females are likely to respond to each pill differently.īy using gender as a block, we’re able to eliminate this variable as a potential source of variation. Then, within each block they can use randomization to randomly assign subjects to use either Pill #1 or Pill #2. This is the process of first separating subjects into blocks, then using randomization to assign subjects within blocks to different treatments.įor example, if researchers want to know whether or not two different pills affect blood pressure differently then they may first separate all subjects into one of two blocks based on gender: Male or Female. Block RandomizationĪn extension of randomization is known as block randomization. This means any differences in blood pressure can be attributed to the type of pill, rather than the effect of a lurking variable. The point of randomization is to control for lurking variables – variables that are not directly included in an analysis, yet impact the analysis in some way.įor example, if researchers are studying the effects of two different pills on blood pressure then the following lurking variables could affect the analysis:īy randomly assigning subjects to treatment groups, we maximize the chances that the lurking variables will affect both treatment groups equally. They may decide to use a random number generator to randomly assign each subject to use either pill #1 or pill #2. In the field of statistics, randomization refers to the act of randomly assigning subjects in a study to different treatment groups.įor example, suppose researchers recruit 100 subjects to participate in a study in which they hope to understand whether or not two different pills have different effects on blood pressure.
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