Answer: measures of what people have clicked on in previous internet sessions.
Explanation: The 'filter bubble' is a term proposed by Eli pariser which explains how softwares and web algorithm perceives and decides the content included in the feed of an internet user or what is seen based on user information such as location, preferences or history. Usually filter bubble concept places greater emphasis on first click and what is been displayed or seen is based on the algorithms logic which probably might not be what we need to see at that instant or moment.
Generally, filter bubbles applies user information and history in making recommendation and personalizing what is seen by different users which can be really amazing.
They're definitely not landlocked: for example, Japan is placed completely on islands.
Further, Indonesia is the most populous country in Southeast Asia - so they can't be "less populous"
Also, if they were more mountaneous than the others, then Myanmar would also be listed with them.
The best answer is: they're all island nations. This is also true: they are all island nations.
Answer:
inferential statistics; statistically significant
Explanation:
Inferential statistics: In statistics, the term inferential statistics is defined as one of the important parts and it is responsible for using a random sample of specific data that is being taken out from a particular population to explain and develop inference related to that population.
Statistically significant: In statistics, the term statistically significant refers to the process involved in specific research that describes its results are less likely to occur due to a chance procedure.
Answer:
I am pretty sure it is C. I really don’t remember too well
Explanation:
