FINAL PROJECT Bliss Brannon, Dan Faulkner, Ryan Dickson.

Slides:



Advertisements
Similar presentations
o We chose to do our project on cars in South's parking lot to see if our parking lot could be considered representative of the entire population of cars.
Advertisements

Chi-square test Chi-square test or  2 test. Chi-square test countsUsed to test the counts of categorical data ThreeThree types –Goodness of fit (univariate)
 2 test for independence Used with categorical, bivariate data from ONE sample Used to see if the two categorical variables are associated (dependent)
Hypothesis Test for Proportions Section 10.3 One Sample.
Chi-Squared Hypothesis Testing Using One-Way and Two-Way Frequency Tables of Categorical Variables.
1 Copyright © 2005 Brooks/Cole, a division of Thomson Learning, Inc. Analysis of Categorical Data Goodness-of-Fit Tests.
I Scream, You Scream, We All Scream for Ice Cream! Sarah Beeson, Jill Hall, Sarah Regan.
CHAPTER 23: Two Categorical Variables: The Chi-Square Test
CHAPTER 23: Two Categorical Variables The Chi-Square Test ESSENTIAL STATISTICS Second Edition David S. Moore, William I. Notz, and Michael A. Fligner Lecture.
Stat 217 – Day 27 Chi-square tests (Topic 25). The Plan Exam 2 returned at end of class today  Mean.80 (36/45)  Solutions with commentary online  Discuss.
Test for a Mean. Example A city needs $32,000 in annual revenue from parking fees. Parking is free on weekends and holidays; there are 250 days in which.
Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall Statistics for Business and Economics 8 th Edition Chapter 9 Hypothesis Testing: Single.
Texting and Driving Joanna Curran And Brianna Baer.
Student Opinion Survey AP Stat Final Project by John Graziano Ryan Guthier Lydia Keener.
Presentation 12 Chi-Square test.
MICHAEL KITA, ANDREW KATSMAN, GEORGE CONNOR. Our project is about the make, model, and style of cars in the Central Bucks parking lot and the parking.
1 Copyright © 2005 Brooks/Cole, a division of Thomson Learning, Inc. Analysis of Categorical Data Test of Independence.
Meaghan DeMallie, Dan Foley, Thomas Hong
More About Significance Tests
Copyright © 2013, 2010 and 2007 Pearson Education, Inc. Chapter Inference on Categorical Data 12.
Hypothesis Testing for Proportions
Vending Machine Adventures By: Pat Casey, Dan Cardamone, Heejun Yang.
Sarah Hadyniak and Kathy Fein I cannot live without books. ~Thomas Jefferson.
Regression Examples. Gas Mileage 1993 SOURCES: Consumer Reports: The 1993 Cars - Annual Auto Issue (April 1993), Yonkers, NY: Consumers Union. PACE New.
By: Jackie, Molly & Franny Hey What’s up? What’s your Favorite Color? TEXT REACTION.
Associate Professor Arthur Dryver, PhD School of Business Administration, NIDA url:
Chi-square test Chi-square test or  2 test Notes: Page Goodness of Fit 2.Independence 3.Homogeneity.
Jenny Clift Gena Omelyaneko Tori Langan. Background The first TV commercial was broadcasted on July 1, 1941 It was on the New York station WNBT The ad.
FASHION VERSUS MUSIC BB JULIE. On the Runway… First couture fashion house established in Paris (WW1) – women wear pants and work in factories.
Chapter 12: The Analysis of Categorical Data and Goodness- of-Fit Test.
Nick Joerger and Kevin Rogers.  We wanted to see and study how people wear hats, which style they wore their hat in (frontwards or backwards), the team.
Chapter 11 The Chi-Square Test of Association/Independence Target Goal: I can perform a chi-square test for association/independence to determine whether.
13.2 Chi-Square Test for Homogeneity & Independence AP Statistics.
Welcome to MM207 – Statistics Hypothesis Testing with One Sample Chapter – 7.4 Anthony J. Feduccia.
BPS - 5th Ed. Chapter 221 Two Categorical Variables: The Chi-Square Test.
The Practice of Statistics Third Edition Chapter (13.1) 14.1: Chi-square Test for Goodness of Fit Copyright © 2008 by W. H. Freeman & Company Daniel S.
CHAPTER 23: Two Categorical Variables The Chi-Square Test ESSENTIAL STATISTICS Second Edition David S. Moore, William I. Notz, and Michael A. Fligner Lecture.
G UESS THE D ISTANCE By Amanda Cunha and Ashley Kershaw.
Dan Piett STAT West Virginia University Lecture 12.
Tara Levine, Bridget Sanelli, Madeline Stenken Block 3 AP Statistics.
Eric Kannengieszer and Colin Buckley.  Our objective was to run a series of tests involving gas prices  Exxon vs. Lukoil  Pennsylvania vs. New Jersey.
 Located in Warrington, PA  Open for lunch and breakfast  Sells: › Bagels, Sandwiches, Breads, Salads/Soups, and Beverages  Owners: › Lisa O’Boyle.
By: Kristen Lawlor and Katie Walsh. Egyptians – Used reddish-brown stains derived from henna to color nails and fingertips – Signified social order Chinese.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
By: Avni Choksi and Brittany Nguyen
Buon appetite! A sandwich survey of Altomonte’s Italian Market & Delicatessen By Nicole Cianciarulo, Amanda Hofstaedter & Kaycee Schaefer.
Inference for Tables Catapult Discovery Question: –How does a cat land (feet, side, nose/face)? –Write your predictions in percent. Collect data for.
By.  Are the proportions of colors of each M&M stated by the M&M company true proportions?
Inference for Proportions Section Starter Do dogs who are house pets have higher cholesterol than dogs who live in a research clinic? A.
Amanda and Marlee. About Planet Smoothie! 3 rd Largest American Smoothie Company Founded 1995; Atlanta, GA Bonnie Rhinehardt –President Franchise 16 States.
Michelle Ji, Samantha Shober, April Zhang Block 4 16 May 2011.
BPS - 5th Ed. Chapter 221 Two Categorical Variables: The Chi-Square Test.
+ Section 11.1 Chi-Square Goodness-of-Fit Tests. + Introduction In the previous chapter, we discussed inference procedures for comparing the proportion.
Welcome to MM207 Unit 7 Seminar Dr. Bob Hypothesis Testing and Excel 1.
Chapter 11 Chi Square Distribution and Its applications.
Hypothesis Tests Hypothesis Tests Large Sample 1- Proportion z-test.
Chapter 14 Inference for Distribution of Categorical Variables: Chi-Squared Procedures.
Chapter 11: Categorical Data n Chi-square goodness of fit test allows us to examine a single distribution of a categorical variable in a population. n.
Class Seven Turn In: Chapter 18: 32, 34, 36 Chapter 19: 26, 34, 44 Quiz 3 For Class Eight: Chapter 20: 18, 20, 24 Chapter 22: 34, 36 Read Chapters 23 &
AP Statistics Chapter 13 Section 1. 2 kinds of Chi – Squared tests 1.Chi-square goodness of fit – extends inference on proportions to more than 2 proportions.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. 1 FINAL EXAMINATION STUDY MATERIAL III A ADDITIONAL READING MATERIAL – INTRO STATS 3 RD EDITION.
Chi Square Procedures Chapter 14. Chi-Square Goodness-of-Fit Tests Section 14.1.
Chapter 12 Lesson 12.2b Comparing Two Populations or Treatments 12.2: Test for Homogeneity and Independence in a Two-way Table.
 Conceptual Origins  Nature- behavioral and personality traits originate from heredity Traits come from biological parents  Nurture- behavioral and.
Goodness-of-Fit A test of whether the distribution of counts in one categorical variable matches the distribution predicted by a model is called a goodness-of-fit.
Presentation 12 Chi-Square test.
Significance Test for the Difference of Two Proportions
Sample Mean Compared to a Given Population Mean
Use invNorm (2nd VARS 3) functions: Use invT (2nd VARS 4) functions:
Presentation transcript:

FINAL PROJECT Bliss Brannon, Dan Faulkner, Ryan Dickson

Our Idea  We wanted to see which car was most popular in the mall parking lot  We felt that there would be different people going to the mall on different days and at different times of the day.

Collection of Our Data  We went to different malls on different days so that we would get a better representation of the people that go to the mall  To get an even better representation of the population we also went at different times of the day  While collecting our data we only collected every third car so that our data was random

Background  The Ford Model-T was created in 1908 as the first car  Since then they have been creating more aerodynamic cars that are able to go faster  As gas prices went up car engine sizes went down, but the engine efficiency went up and cars became faster and more fuel efficient

Variables  When collecting our data we decided to look at  The make of the car  The specific model  What type of car it is (sedan, coupe, etc.)  The color of the car  Whether or not the car had a custom license plate  The engine size

Which car do you think is most popular in the mall parking lot?

Make  The most popular company that was in the mall parking lot was Toyota, with Honda not that far behind  There were a lot of companies that only had one car in the parking lots

Model

Type  46% of all of the cars we saw in the parking were sedans  The type of car we saw least in the parking lot was a station wagon  Surprisingly there were more SUVs then there were coupes

Color  From this graph you can tell that the color that showed up the most in the mall parking lots was black

Custom License Plate  There weren't that many cars in the parking lot that had a custom license plate  Around 5% of the cars in the parking lot had a custom license plate and they weren't on any specific make or model

Engine Size  Most of the engines were 4 cylinder  The min was a 3 cylinder and the max was a V8

Country vs. Engine Size  Ho: Engine size is independent from the country that it was made in  Ha: Engine size is dependent from the country that it was made in

Conditions  Categorical Data?  SRS?  All expected cell counts are greater than 5?  Yes  The sample is random  Yes

Work df=2 Chi-squared= P(chi-squared>34.45)=0.0001

Conclusion  We reject our Ho because our p-value of.0001 is less that alpha of  We have sufficient evidence the engine size does depend on what country the car was made in.

Test on SUV  Ho: p = 10%  Ha: p > 10%

Conditions  SRS?  np and nq > 10  Pop > 10n  The sample of the cars was random  12 and 38 > 10  All SUVs > 2090 Z=6.94 P (z>6.94) =.0001

Conclusion  We reject our Ho because our p-value of is less than alpha of 0.05  We have sufficient evidence that there was a greater percent of SUVs in the mall parking lot then the percent of SUVs in America.

Test on Toyota  Ho: p = 12%  Ha: p > 12%  SRS?  np and nq > 10  Pop > 10n  The sample of the cars was random  12 and 38 > 10  All Toyota > 450

Test  We reject our Ho because our p-value of is less than alpha of 0.05  We have sufficient evidence that the percent of Toyotas in the mall parking lot was greater then the percent of Toyotas in America. Z=3.184 P(z>3.184) =

Bias and Error  We went to the mall on a holiday weekend so some people that may frequently visit the mall may have been on vacation  We may not have gone every third car the whole time because some of the vehicles names are on the side of the car and we couldn’t get them.  The engine size was assumed based on the model, but the car could have gotten and engine swap and had a larger engine then assumed.

Personal Opinion  We thought that the most popular cars would be the Honda Accord, Civic, and the Toyota Camry  Bliss and Dan thought that the most popular color would be black, and Ryan thought the most color would be silver  We felt that there would be more sedans then anything else, and the most popular engine would be a 4 cylander

Conclusion  We are able to conclude which color, make, model, engine size, and type of car were most popular  Color: Black  Make: Toyota  Model: Camry  Engine Size: 4 Cylinder  Type: Sedan  We noticed that different cars are driven to the mall on different days and different times of the day