Need help on 4 discussion Quality Control

Unit 4: Discussion

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Directions

Post your initial two (2) responses to topics below. Respond an additional three (3) times, with at least two responses to peer postings.  There are a total of five (5) posts that are required per week.

1. Initial Discussion Responses - Respond to two (2) discussion topics below by Thursday, 11:59 pm CT.

2. Initial responses  MUST be in separate posts. This allows classmates to respond to individual questions and ensures accurate post count each week.   DO NOT  answer two distinct discussion questions in one post. 

3. Responses to Peers/Topic - Complete three (3) response posts as prescribed below by Sunday, 11:59 pm CT.

1. Two (2) posts that interact with a classmate’s post with originality and thoroughness

2. One (1) additional post that will be the students’ option.  The options are:

1. One (1) additional post to a discussion question, or

2. One (1) additional peer response, or

3. The student may choose to post a question that they have concerning the topic.  This option will promote a “classroom” environment where student’s may ask general questions and seek peer responses.

At the discretion of the instructor, points will be taken off any response that does not fulfill all of these goals. Late points will be deducted according to the standard late submission policy. 

See the grading rubric for details on complete response requirements.

Due Date

 First post due 11:59 p.m., Thursday, CT.  Respond to two or more classmates by 11:59 p.m., Sunday, CT.

Topics

1. What is statistics? In what applications are statistics used?

2. Define discrete, continuous and normal distributions. How are they similar/different?

3. What are descriptive statistics? What do they tell the analyst?

4. What is statistical inference? What is the difference between and sample and a population? Which one is the basis of statistical inference?

5. What is the purpose of hypothesis testing? Which hypothesis statement is tested? Why?

6. What is regression and correlation? Does correlation inherently define causation?