Text is generally considered as a written material, especially longer pieces of writing as in a book, a letter or a newspaper.
Discourse refers to a formal and orderly expression of thought on a subject.
Text and discourse are connected through cohesion, which is the connection of ideas and sentences between the paragraphs.
Cohesion in text is achieved by using devices that link ideas such as: furthermore, in addition, to add, secondly, moreover, on the contrary, on the other hand etc.
Cohesion in discourse is achieved by using devices that link ideas such as: furthermore, in addition, to add, secondly, moreover, on the contrary, on the other hand etc.
Coherence mainly deals with logic and appropriate organization of the sentences to form meaningful and understandable content.
Cohesion focuses more on lexical syntax and grammar in sentence formation.
Coherence is the attribute that is decided by the end-user or reader, which determines whether the content seems meaningful, understanding and useful.
Cohesion is the writer’s attribute and which is brought by using different techniques like repeated words/ideas, reference words, transition signals, substitution, etc.
Coherence is the property determined by the reader, which tells the understandability of the article and whether the idea is being conveyed to the reader appropriately.
Means sticking together different sentences, phrases, and paragraphs with each other.
Cohesion is completely in the hands of the writer and can be improved by using different techniques.
Informativity in text focuses on the amount of new information embedded in it.
A text is written to provide new information or perspective, not a duplication of an already-known concept.
A writer shall make sure that what he/she is writing is not common knowledge to all.
Intentionality as a characteristic of a text answers the question: What is the purpose of the writer in writing the text? A text must be written with a purpose whether that is to inform, persuade, or entertain.
In some cases, a text is written to criticize or just to express one’s opinion.
When a text has a purpose, intentionality is achieved.
Acceptability in text refers to the veracity of the information provided.
How true is the information or ideas expressed? The text shall be accepted by a group or a number of people especially that of the academic community.
A text shall always conform to the situation.
Intertextuality refers to the way you understand the succeeding discourse because of the way you interpret the preceding one.
Intertextuality is the idea that a text exists because of another text.
Hypothesis refers to the supposition or proposed explanation that is based on limited evidence.
Hypothesis Testing is a statistical method used in making decisions using experimental data.
The Null Hypothesis is the initial claim that is based on the previous analyses, that the researcher tries to disapprove, reject, or nullify.
Between two parameters, the Null Hypothesis shows no significant difference.
The Alternative Hypothesis is contrary to the null hypothesis, that shows the observations are the result of a real effect.
An example of a Hypothesis Testing situation is the school record showing that the average score of incoming Grade 11 in math is 81.
The teacher wants to find out if this claim is true.
In Hypothesis Testing, the Null Hypothesis is represented as H0: The mean score of the incoming Grade 11 students is 81 or μ = 81.
The Alternative Hypothesis is represented as Ha: The mean score of the incoming Grade 11 students is not 81 or μ ≠ 81.
The level of significance in Hypothesis Testing is denoted by α or alpha.
In rejecting and accepting a hypothesis, 100% accuracy is impossible.
Hypothesis refers to the supposition or proposed explanation that is based on limited evidence.
Hypothesis Testing is a statistical method used in making decisions using experimental data.
The Null Hypothesis is the initial claim that is based on the previous analyses, that the researcher tries to disapprove, reject, or nullify.
Between two parameters, the Null Hypothesis shows no significant difference.
The Alternative Hypothesis is contrary to the null hypothesis, that shows the observations are the result of a real effect.
An example of a Hypothesis Testing situation is the school record showing that the average score of incoming Grade 11 in math is 81.