Descriptive Statistics & Skewness

Slides:



Advertisements
Similar presentations
Ask yourself, How much time do I spend on the internet? texting? on the phone? watching television? just doing nothing?
Advertisements

COURSE REGISTRATION 101 Presented by Madison Advising Peers.
1.Why is he late? Please tell me________. Please tell me why he is late. 2. Would you please tell me ? When will you come? Would you please tell me when.
Microsoft ® Office Access ™ 2007 Training Choose between Access and Excel ICT Staff Development presents:
Kyle Vickers.  Manage projects such as roads, buildings, and bridges.  Prepare progress reports.  Supervise, train, hire, and sometimes fire employees.
Chapter 1 Practical Finance Unit 6 Students will analyze and apply their understanding of finance to their own college budget.
Time Management in Your Online Course GTCC. “I don’t have enough time!”
Paper Trim Waste ! What is the cost of using incorrect measurements of paper widths?
STUDY TIME ANALYSIS BY : MINA KHAIRZADA STUDY TIME ANALYSIS BY : MINA KHAIRZADA.
Green High School Guidance.  Students must be admitted by the university they plan to take classes at  Each college sets their own criteria  The most.
Academic Preparation PowerPoint. CCAS Advising Overview Where are we located?  Phillips 107 & Smith 118 How can you get in touch with the Associate Director?
Time Management Eric W. Ford, PhD 1/22/02. Plan a schedule of balanced activities.  College life has many aspects that are very important to success.
Building Your Own Budget  Where will you be next year? (college or working) ______________  If working, how much do you think you’ll make a year? ________________.
+ Independent Sample T- test. + Welcome! When you get to lab, please pull up the following documents for March 9 th for the Independent Sample T-Test.
FTES? FTEF? MARCH 1, FTES o FTES = Full-Time Equivalent Students o Funding formula to determine how much money VC receives from the state o Each.
Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Spring 2016 Room 150 Harvill.
1 Chapter Chapter 2 The Whole Numbers.
Preparing for Your Sophomore Year
Savings Cents make Euros © Annie Patton Next Slide.
Project.
Preparing for your presentations
Gibbs High School Registration School Year
Transfer students: A Spotlight On Community College
Making the Most of Your Money
Student created review
CONTENTS Big 6 Skills Presentation Banana Split Presentation
Part III – Gathering Data
Consistency Margaret Huck.
Saving Time with Online Food Delivery
Charts Remember: Sit with your groups
Presented by: The Financial Aid Office
Career Research Presentation
Chapter 5: Describing Distributions Numerically
Chapter 4 Making Good Decisions: A Focus on Academic, Financial, Career and Stress Management Decisions.
Week 6 Statistics for comparisons
Descriptive statistics
# (-3) #2. -5 – 6 # # Bell Ringer.
How does credit work and what do banks do?
Excel Exam Review March 29,
WELCOME TO TOWSON UNIVERSITY
DO NOW Why is it important to take notes in class or from an assigned reading? How do you organize your notes on the page? Why do you do it that way?
Welcome to COMPUTER SCIENCE
Tips for Success in Mathematics
Pull 2 samples of 5 pennies and record both averages (2 dots).
Summary (Week 1) Categorical vs. Quantitative Variables
Watch the Clock.
Preparing for Your Sophomore Year
Welcome! When you get to lab, please pull up the following documents for February 24th for the Single Sample t-test Powerpoint Doc Excel dataset.
Learning Objective Agenda: 1. Dates to remember
# (-3) #2. -5 – 6 # # Bell Ringer.
AP and Honors Agreement
Welcome to COMPUTER SCIENCE
Introduction to Sampling Distributions
Introduction to excel and Distributions
Improve Your GPA Grade-Point Average
Effect Size & Confidence Intervals
Z-Scores.
Single-Sample T-Test.
The Impact of Interest Rates
Data Transforming Remember: Please sit with your groups.
8th Grade Pre-Registration
Chapter 3 Central tendency and variation
Managing Your Time in College
Welcome to issaquah middle school 8th Grade course selection
Managing Your Time in College
Normal Distribution: Bell Curve
High School Financial Planning Program
Average Campaign Contributions by Type of Candidate (2008)
Getting Ready For This Course
Current Affairs!.
Presentation transcript:

Descriptive Statistics & Skewness Remember: Please Sit with your groups. Download files from course website for Feb. 1

Today’s Objective Identify if a dataset is normally distributed using descriptive statistics on Excel Figure out how to determine if the data is skewed (positively or negatively) Fix skewness, if necessary

Scenario 1 A previous study done by a University Heath Center stated that most college students do not get a sufficient amount of sleep. It is said that insufficient sleep impacts our health, our moods, our GPA and our safety. Using the collected data from the students in this statistics course at Auburn University, run a descriptive statistics on the data from column Q_Sleep.

Questions What does this data tell us about college students and their sleep schedules? How can this information be used to your advantaged?

Scenario 2 While in college, it is possible to spend an excessive amount of money on eating out. Our schedules are a lot more busy and finding the time to buy groceries and prepare meals may be a bit difficult for some students. Using the collected data from the students in this statistics course at Auburn University, run a descriptive statistics on Q_Food.

Questions What does this data tell us about college students and how much money they spend on eating out per week? How can this information be used to your advantaged?

Your Turn!!!  College students typically take between 12-18 credit hours to be considered a full-time student. Using the data gathered from the students in this statistics course at Auburn University, run a descriptive statistics on the data from column Q_ to see the average amount of credit hours that a student from this course takes. Make sure the data is normally distributed, If not, decide whether you will square it or take the square root of the data to make it normal.