G UESS THE D ISTANCE By Amanda Cunha and Ashley Kershaw.

Slides:



Advertisements
Similar presentations
D O MALE BYU-I DAHO STUDENTS SPEND TOO MUCH ON A FIRST DATE ?!
Advertisements

Tic-Tac-Tolerance Steve and Torsten. Introduction We decided to play Tic-Tac-Toe with subjects in order to test mean number of games played We are looking.
Steve and Torsten We Do Math in a Minute. Introduction In our experiment we had two version of a basic multiplication table. One was in order starting.
I Scream, You Scream, We All Scream for Ice Cream! Sarah Beeson, Jill Hall, Sarah Regan.
Our project dealt with seeing how many quarters a student could toss into a jar within one minute. After one minute, the student was no longer able to.
O BSERVATIONAL S TUDY : P EDESTRIANS R IGHT OF W AY Kiera Kenney Liz Lewallen Jason Sarvey.
How sweet of a deal are you really getting? By Kelly Culp, Ashley Hall, and Amanda Simo.
By: John Marron Nicole Scamuffo
Bill Reilly Dan Park. Peace Valley Boat Rental  Opens first Saturday of May every year  Closes in mid October  Offers moorings, permits, lessons, programs,
Sneaky Sneakers By: Blake Smith Jesse Lee Jen Feder.
Copyright ©2011 Brooks/Cole, Cengage Learning Testing Hypotheses about Means Chapter 13.
Copyright ©2011 Brooks/Cole, Cengage Learning Testing Hypotheses about Means Chapter 13.
Significance Testing Chapter 13 Victor Katch Kinesiology.
Comparing Two Population Means The Two-Sample T-Test and T-Interval.
 The first video game device was called the Cathode Ray Tube Amusement Device, which was created in 1947  The first game console that was available.
Consistency of the Weather Nicole Baratelle, Cara Barskey, Youjin Kwon.
Stat 301- Day 32 More on two-sample t- procedures.
Hypothesis Testing Using The One-Sample t-Test
Significance Tests and Two Proportions
FINAL PROJECT Bliss Brannon, Dan Faulkner, Ryan Dickson.
Temperature and Humidity By: Nicole Adams, and Amy Schaefer.
CHAPTER 23 Inference for Means.
Texting and Driving Joanna Curran And Brianna Baer.
Point Biserial Correlation Example
One-sample and Two-sample t-test When population standard deviation (∂) is NOT KNOWN.
Student Opinion Survey AP Stat Final Project by John Graziano Ryan Guthier Lydia Keener.
Alan Eife and Jake Cramer. What We Did  We wanted to see how many people would pick up a recyclable at different locations and see if the environment.
T HE G ROCERY S TORE AND Y OU : I S Y OUR F OOD H EALTHY ? By Ricky Benner and Stefanie Richman By Stefanie Richman and Ricky Benner.
Meaghan DeMallie, Dan Foley, Thomas Hong
More About Significance Tests
Significance Tests in practice Chapter Tests about a population mean  When we don’t know the population standard deviation σ, we perform a one.
Student’s t-distributions. Student’s t-Model: Family of distributions similar to the Normal model but changes based on degrees-of- freedom. Degrees-of-freedom.
Vending Machine Adventures By: Pat Casey, Dan Cardamone, Heejun Yang.
Michelle Ji, Sam Shober, April Zhang. Goal: Assess dietary needs of people in our area Determine whether men or women were picker eaters Conducted survey.
Chapter 8 Hypothesis Testing with Two Samples 1. Chapter Outline 8.1 Testing the Difference Between Means (Large Independent Samples) 8.2 Testing the.
Sarah Hadyniak and Kathy Fein I cannot live without books. ~Thomas Jefferson.
By: Jackie, Molly & Franny Hey What’s up? What’s your Favorite Color? TEXT REACTION.
By: Julia and Krista iTunes Song Lengths. Background Pop – Softer alternative to rock and roll aimed at youth market – Began in 1920s – Revolutionized.
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.
Copyright © 2010, 2007, 2004 Pearson Education, Inc Chapter 12 Analysis of Variance 12.2 One-Way ANOVA.
Warm-up 9.2 Steps for a sample t-test Answers to E#2 – 5 and 10 E2. a. This is an experiment, not sample, so the condition of random Assignment.
13.2 Chi-Square Test for Homogeneity & Independence AP Statistics.
Where Should YOU Buy Your Next Bagel w/ Cream Cheese and Small Coffee...? By: Kate Engelbert and Mario Canales.
Brailyn Robertson & Rebecca Shigo. DQ Background The Beginning : 1930’s First sold during a trial run at a friend's ice cream store in cents,
Stats 4-17  Previous data indicate that 17% of trolls are bifungal (two mushroom hands). Wilfrax Margarn wants to create 95% a confidence interval for.
What is the intention? I intend on hopefully finding a correlation between a high school student’s gender and their GPA. The intended population is Kenwood.
Welcome to MM570 Psychological 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.
The Adventures of the Swiss Miss Marshmallows By Skyler Northcutt & Vivian Skumpija.
 Located in Warrington, PA  Open for lunch and breakfast  Sells: › Bagels, Sandwiches, Breads, Salads/Soups, and Beverages  Owners: › Lisa O’Boyle.
McDonald’s vs. Wendy’s: Who Gives You More for your Money By: Brandon Fell and Jamie Weltz.
By: Avni Choksi and Brittany Nguyen
AP Process Test of Significance for Population Proportion.
Buon appetite! A sandwich survey of Altomonte’s Italian Market & Delicatessen By Nicole Cianciarulo, Amanda Hofstaedter & Kaycee Schaefer.
Assumptions and Conditions –Randomization Condition: The data arise from a random sample or suitably randomized experiment. Randomly sampled data (particularly.
Chapters 22, 24, 25.
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.
Confidence Intervals and Significance Testing in the World of T Unless you live in my animated world, Z-Testing with population σ isn’t reality… So, let’s.
If we fail to reject the null when the null is false what type of error was made? Type II.
Tests of Significance -how to put them in writing.
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.
Seven Steps for Doing  2 1) State the hypothesis 2) Create data table 3) Find  2 critical 4) Calculate the expected frequencies 5) Calculate  2 6)
Lecture Notes and Electronic Presentations, © 2013 Dr. Kelly Significance and Sample Size Refresher Harrison W. Kelly III, Ph.D. Lecture # 3.
Topic 20 Examples Check of Answers.
Which gender has a faster reaction time?
Sample Mean Compared to a Given Population Mean
Sample Mean Compared to a Given Population Mean
Presentation transcript:

G UESS THE D ISTANCE By Amanda Cunha and Ashley Kershaw

D ESCRIPTION OF TOPIC Depth perception- the ability to judge how far away an object is as well as how far away objects are from each other With glasses depth perception can be impaired This is because everything is simulated to be at the same distance It is also said contacts can affect ones depth perception as well

B ACKGROUND OF TOPIC We decided to test and see if there was a significant difference in the depth perception of those who wear glasses, contacts or neither We also wanted to test and see if there was a difference in the depth perception of females vs. males

P ROCEDURE 1. We put one cone next to us at Macy’s at the Montgomery Mall 2. We measured 30 feet from the first cone and put a second cone there 3. We stood next to the door of Macy’s and as people entered or exited recorded… 1. Gender 2. Glasses- if we could see that 3. If no glasses were visible asked if they wore contacts 4. If they did not wear contacts, we recorded neither glasses nor contacts 4. We asked them to stand at the first cone and guess how far away the second cone was and recorded their answer 5. We went to Macy’s on Monday morning, Thursday afternoon, & Sunday evening

E XPLORATORY D ATA : C ONTACTS The data is bimodal and slightly right skewed The median is at 34ft and the IQR is 15ft The range is 15ft to 60ft There is a gap at 22ft and 55ft

E XPLORATORY D ATA : N EITHER C ONTACTS N OR G LASSES The data is unimodal and right skewed The median is 34ft and the IQR is 17ft The range is 15ft to 59ft

E XPLORATORY D ATA : GLASSES The data is unimodal with a right skew The median is 35ft and the IQR is 20ft The range is 15ft and 59 ft

S AMPLE P OPULATION Females vs. Males at the Montgomery mall Population of people with contacts, glasses, or neither in Montgomery County

C ONCLUSIONS P OPULATION In Montgomery County there is a greater population of people that wear neither glasses nor contacts. We then found that there is a greater number of people with contacts rather than glasses. The glasses population is the minority in Montgomery County. We found that there are more females going to the mall than males, which was expected.

2 S AMPLE T-T EST Ho: c/g = n Ha: c/g n

A SSUMPTIONS 1. Two independent SRS 2. Pop g/c 10n g/c Pop n 10n n 3. Two normal populations or n g/c and n v They were not SRS but was the best sample and both were independent 2. There are more than 1130 people with glasses/contacts and 720 people with neither in Montgomery County 3. N g/c (113) > 30 N v (72) > 30 State Check Conditions Met – Student t-distribution -2 sample t-test

C ALCULATIONS AND C ONCLUSIONS = P(t>1.317 df= ) = 0.19 Ho: c/g = v Ha: c/g v -We fail to reject Ho because the p-value of 0.19 is greater than alpha We have sufficient evidence that the average distance guessed by those with glasses or contacts is equal to the average distance guessed by those without glasses or contacts.

2 S AMPLE T-T EST Ho: c = g Ha: c g

A SSUMPTIONS 1. Two independent SRS 2. Pop c 10n c Pop g 10n g 3. Two normal populations or n c and n g They were not SRS but was the best sample and both were independent 2. There are more than 500 people with glasses and 630 people with contacts in Montgomery County. 3. N c (63) > 30 N g (50) > 30 StateCheck Conditions Met – Student t-distribution -2 sample t-test

C ALCULATIONS AND C ONCLUSIONS Ho: c = g Ha: c g = P(t>0.303 df= ) = We fail to reject Ho because the p-value of 0.76 is greater than alpha We have sufficient evidence that the average distance guessed by those with contacts is equal to the average distance guessed by those without glasses.

2 S AMPLE T -T EST Ho: m = f Ha: m f

A SSUMPTIONS 1. Two independent SRS 2. Pop m 10n f Pop m 10n f 3. Two normal populations or n m and n f They were not SRS but was the best sample and both were independent 2. There are more than 110 females and 750 males inMontgomery County. 3. N f (110) > 30 N m (75) > 30 StateCheck Conditions Met – Student t-distribution -2 sample t-test

C ALCULATIONS AND C ONCLUSIONS Ho: m = f Ha: m f = P(t< df= ) = We fail to reject Ho because the p-value of 0.71 is greater than alpha We have sufficient evidence that the average distance guessed by males is equal to the average distance guessed by females.

A PPLICATION TO P OPULATION We conclude that regardless of wearing contacts, glasses, or neither the people of Montgomery County do not show a significant difference in depth perception. We can also conclude that there is not a difference in the depth perception of males and females in Montgomery County.

B IAS / E RROR We found that people in groups guessed similar to each other, so they may not have been saying the distance that they actually felt. Some people did not take us seriously and said a random number when we asked for the distance between the cones. Since it was right after the holiday season, many people were in a rush and did not want to answer our questions. We faced the problem of involuntary response because not everyone wanted to answer our questions.

P ERSONAL OPINIONS / CONCLUSIONS Our original hypothesis that there would be no difference in the depth perception of those with glasses, contacts, or neither was correct. We felt that it was difficult to ask people to participate in our data collection when they were going in and out of the store. Overall it was interesting to see the wide variety of response.