THIS WAS MADE BY AI TO GIVE YOU INFROMATION ABOUT ME TO WRITE DO NOT USE AI FOR THIS ASSIGNMENT

***************Since youre a travel LPN + run a business + deal with pay/taxes/housing:

You could talk about:

1. Evaluating Healthcare Research

• Now you understand what a p-value means.
• You wont just accept studies show… without questioning sample size.
• In nursing, policies are based on data now you can actually understand it.

2. Travel Nursing Pay & Contracts

• Comparing hourly rates vs. stipends.
• Understanding averages vs. outliers.
• Looking at cost of living data before accepting contracts.

3. Your Business (Velora CX)

• Calculating wages vs. profit margins.
• Understanding trends in hiring.
• Looking at performance metrics instead of just guessing.

4. Real Estate / Housing

You literally just did a housing analysis project.

You can say:

• Now you understand how averages can hide variability.
• A 95% confidence interval makes more sense.
• You see how market claims can be tested instead of assumed.

How Data Analysis Is Changing the World

You could mention:

• Healthcare is heavily data-driven now (readmission rates, infection rates, outcome tracking).
• AI and predictive modeling in hospitals.
• Employers use productivity metrics.
• Social media algorithms are based on data.
• Insurance premiums are data-based.
• Real estate pricing uses predictive analytics.

In your tone, you could say something like:

Everything is tracked now. Hospitals track outcomes, companies track productivity, even social media tracks engagement. Decisions are less opinion-based and more data-driven.

How Statistics Can Be Persuasive or Misleading

This is where you can sound really smart without trying.

Example 1: Risk Doubled

If something goes from 1% to 2%, headlines say:

Risk doubled!

But thats only a 1% absolute increase.

Example 2: Manipulated Graphs

If a graph starts at 90 instead of 0, differences look huge.

Example 3: Small Sample Sizes

A study with 12 people isnt the same as one with 1,000.

Example 4: Averages Hide Spread

If one house sells for $1.5M, it can inflate the average home price.

You could say:

Before this class, I probably would have just accepted numbers at face value. Now I question sample size, distribution, and whether the conclusions actually match the data.

How You Might Answer Do You Look at Statistics Differently Now?

You absolutely can say yes.

Examples:

• You dont just trust headlines.
• You think about sample size.
• You understand confidence levels.
• You recognize that statistically significant doesnt always mean practically significant.

**************************************************************

8-1 Discussion: Reflection

Possible Points: 25

In this course, you learned core applications of statistical analysis to solve real-world personal or professional inquiry problems. You also learned different techniques to draw conclusions from data. These experiences allowed you to practice designing an approach to a statistical problem, considering assumptions and constraints, and developing interpretations and conclusions. Think about how you felt when you first started the course and how you feel now. Reflect on what you learned in this course and the applications of statistical concepts in your personal and professional life.

In your initial discussion post, specifically address the following:

• What are some practical uses in your own life for the skills you gained in this class?
• How is data analysis changing in the world around you, including workplaces?
• How can statistics be persuasive and misleading? Please provide an example.

In your response posts to at least two peers discuss the following:

• Do you look at statistics differently now? If so, how?
• What advice can you offer to help others make the most appropriate use of data?

To complete this assignment, review the

Undergraduate Discussion Rubric

Overview

Your active participation in the discussions is essential to your overall success this term. Discussion questions will help you make meaningful connections between the course content and the larger concepts of the course. These discussions give you a chance to express your own thoughts, ask questions, and gain insight from your peers and instructor.

Directions

For each discussion, you must create one initial post and follow up with at least two response posts.

For your initial post, do the following:

• Write a post of 1 to 2 paragraphs.
• In Module One, complete your initial post by Thursday at 11:59 p.m. Eastern.
• In Modules Two through Eight, complete your initial post by Thursday at 11:59 p.m. of your local time zone.
• Consider content from other parts of the course where appropriate. Use proper citation methods for your discipline when referencing scholarly or popular sources.

For your response posts, do the following:

• Reply to at least two classmates outside of your own initial post thread.
• In Module One, complete your two response posts by Sunday at 11:59 p.m. Eastern.
• In Modules Two through Eight, complete your two response posts by Sunday at 11:59 p.m. of your local time zone.
• Demonstrate more depth and thought than saying things like I agree or You are wrong. Guidance is provided for you in the discussion prompt.

Discussion Rubric

CriteriaExceeds ExpectationsMeets ExpectationsPartially Meets ExpectationsDoes Not Meet ExpectationsValueComprehensionDevelops an initial post with an organized, clear point of view or idea using rich and significant detail (100%)Develops an initial post with a point of view or idea using adequate organization and detail (85%)Develops an initial post with a point of view or idea but with some gaps in organization and detail (55%)Does not develop an initial post with an organized point of view or idea (0%)40TimelinessN/ASubmits initial post on time (100%)Submits initial post one day late (55%)Submits initial post two or more days late (0%)10EngagementProvides relevant and meaningful response posts with clarifying explanation and detail (100%)Provides relevant response posts with some explanation and detail (85%)Provides somewhat relevant response posts with some explanation and detail (55%)Provides response posts that are generic with little explanation or detail (0%)30Clear CommunicationExceeds expectations with an intentional use of language that promotes a thorough understanding (100%)Consistently and effectively communicates in an organized way to a specific audience (85%)Shows progress toward meeting expectations, but communication is inconsistent or ineffective in a way that negatively impacts understanding (55%)Shows no evidence of consistent, effective, or organized communication (0%)20Total:100%