What is the main reason to use statistics in a speech multiple choice question?
It provides a basis on which you can build an argument, prove a statement, or support an idea
. The key to using statistics is being able to extract meaning and patterns from data in a way that your audience can understand.
What is the main reason to use statistics in a speech quizlet?
Statistics give your ideas numerical precision
.
When using statistics as a source for a speech the speaker should?
Therefore, when using statistics in public speaking, a speaker should always be sure that they
are presenting accurate information when discussing two variables that may be related
.
When you use statistics in a speech you should usually group of answer choices?
When using statistics in a speech, you should usually: a)
manipulate the statistics to make your point.
Which 5 are rules for using statistics in a speech?
Use them sparingly and to quantify ideas, their sources should be identified in the speech, they should be explained and made meaningful to the audience,
complicated statistics should be rounded off
, and statistical trends should be clarified with visual aids.
What is the general purpose of a speech?
The general purpose of any speech will be either
to Inform; Motivate/Persuade; or Entertain your audience
. As soon as you know the general purpose of your speech you can develop your Specific Purpose Statement (What the speaker will accomplish).
What is the best way to present a series of statistics during a speech?
What is the best way to present a series of statistics during a speech?
testimony
.
Why is it important to use statistics to prove points?
Statistics are excellent evidence
. They are often the easiest and most concise way to express what you are trying to say. You must examine all statistics for relevance, validity and authority. If you fail to do this, your statistics may do more harm than good in proving your point.
How do you use statistics effectively?
- Consider your message. Are statistics the best choice to help you convey your main points? …
- Know your audience. Is your audience likely to be compelled by numbers? …
- Be selective. …
- Keep it relevant. …
- Offer perspective. …
- Use context creatively. …
- Be accurate. …
- Stay current.
How do statistics help an argument?
Statistics (and facts) – statistics are numbers or facts that are used
to provide convincing information
. A writer will use these as a tool to convince the reader. The reader will feel that they cannot argue with facts and that statistics will prove what the writer is saying.
What are the reasons to avoid name calling in public speaking?
What are reasons to avoid name-calling in public speaking?
It demeans. It dehumanizes. It reinforces prejudicial attitudes
.
What is the most important reason for limiting the number of main points in a speech?
According to your textbook, what is the most important reason for limiting the number of main points in a speech?
It is hard for the audience to keep track of too many main points
.
What are the two major kinds of testimony?
There are two major types of testimony:
peer testimony and expert testimony
.
What 3 questions should you ask to judge the reliability of statistics?
- Use statistics to quantify your ideas.
- Use statistics sparingly.
- Identify the sources of your statistics.
- Explain your statistics.
- Round off complicated statistics.
- Use visual aids to clarify statistical trends.
What is the main advantage of using testimony in a speech?
What is the main advantage of using testimony in a speech? The main advantage of using testimony is that
it gives you instant credibility
; quoting an expert is a way of saying, “I’m not the only one who has this idea; it has the backing of a leading authority on the subject.”
How can statistics be misleading?
The data can be
misleading due to the sampling method used to obtain data
. For instance, the size and the type of sample used in any statistics play a significant role — many polls and questionnaires target certain audiences that provide specific answers, resulting in small and biased sample sizes.
