How sweet of a deal are you really getting? By Kelly Culp, Ashley Hall, and Amanda Simo.

Slides:



Advertisements
Similar presentations
AP Statistics Course Review.
Advertisements

Chapter 11: Chi – Square Goodness – of – Fit Tests
IS THERE A SIGNIFICANT DIFFERENCE IN THE AMOUNT OF CLASSIC GOLDFISH IN A BAG THAN COLORED GOLDFISH? Madeleine Calvo & Allie Eckerman AP Stats period 7.
Multinomial Experiments Goodness of Fit Tests We have just seen an example of comparing two proportions. For that analysis, we used the normal distribution.
CHAPTER 9 Testing a Claim
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 11 Inference for Distributions of Categorical Data
By: John Marron Nicole Scamuffo
Confidence Interval and Hypothesis Testing for:
 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.
CHAPTER 11 Inference for Distributions of Categorical Data
Independent Sample T-test Often used with experimental designs N subjects are randomly assigned to two groups (Control * Treatment). After treatment, the.
WARM – UP As you prepare for College, one cost you should consider is your Meal Plan. A friend tells you that you should budget for $1000 in food cost.
Math 1040 Intro To Statistics Professor: Zeph Allen Smith Presented by: Nellie Sobhanian.
Chapter 24: Comparing Means.
Chapter 13: Inference for Tables – Chi-Square Procedures
CENTRE FOR INNOVATION, RESEARCH AND COMPETENCE IN THE LEARNING ECONOMY Session 2: Basic techniques for innovation data analysis. Part I: Statistical inferences.
Founded in 1983, originally named Babbage’s, inc. B&N launches GameStop chain first in FuncoLand video game stores were acquired by B&N and changed.
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.
Inference for One-Sample Means
Chapter 26: Comparing Counts AP Statistics. Comparing Counts In this chapter, we will be performing hypothesis tests on categorical data In previous chapters,
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.
Significance Tests: THE BASICS Could it happen by chance alone?
Sarah Hadyniak and Kathy Fein I cannot live without books. ~Thomas Jefferson.
Chapter 11: Inference for Distributions of Categorical Data.
By: Jackie, Molly & Franny Hey What’s up? What’s your Favorite Color? TEXT REACTION.
By: Rochelle Cooper, Jon Hale, and Ainsley Hume. It was created in 1963 by the Vice President of the General Mills Company, John Holahan It was created,
Multinomial Experiments Goodness of Fit Tests We have just seen an example of comparing two proportions. For that analysis, we used the normal distribution.
Slide Slide 1 Section 8-5 Testing a Claim About a Mean:  Not Known.
AP Stat Review Descriptive Statistics Grab Bag Probability
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 11 Inference for Distributions of Categorical.
Chapter 11: Inference for Distributions of Categorical Data Section 11.1 Chi-Square Goodness-of-Fit Tests.
1 Chapter 10: Introduction to Inference. 2 Inference Inference is the statistical process by which we use information collected from a sample to infer.
Lecture 16 Section 8.1 Objectives: Testing Statistical Hypotheses − Stating hypotheses statements − Type I and II errors − Conducting a hypothesis test.
Goodness-of-Fit Chi-Square Test: 1- Select intervals, k=number of intervals 2- Count number of observations in each interval O i 3- Guess the fitted distribution.
Example 1: a) Describe the shape, center, and spread of the sampling distribution of. The sampling distribution of is Normal because both population distributions.
Sour Patch Distribution Chiquta Hicks 05/24/10 Period 8.
G UESS THE D ISTANCE By Amanda Cunha and Ashley Kershaw.
Sampling distributions rule of thumb…. Some important points about sample distributions… If we obtain a sample that meets the rules of thumb, then…
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,
Manny and Andrew. What is Starcraft II RTS (real time strategy game) Made by Blizzard entertainment Came out in 2010 Sequel to original Starcraft (1998)
The Adventures of the Swiss Miss Marshmallows By Skyler Northcutt & Vivian Skumpija.
How Many Licks Does it Take to Get to the Center of a Blow Pop ?
 Located in Warrington, PA  Open for lunch and breakfast  Sells: › Bagels, Sandwiches, Breads, Salads/Soups, and Beverages  Owners: › Lisa O’Boyle.
The table below gives the pretest and posttest scores on the MLA listening test in Spanish for 20 high school Spanish teachers who attended an intensive.
By: Avni Choksi and Brittany Nguyen
WARM – UP Plant scientists have developed a new variety of corn rich in amino acid lysine used for bulking up chickens. Twenty-five Chickens were randomly.
Nabisco Hundred Calorie Packs Lorna Doone Short Bread Cookies Laurie Doyle, Beth Connolly, Helen Kushnir.
Assumptions and Conditions –Randomization Condition: The data arise from a random sample or suitably randomized experiment. Randomly sampled data (particularly.
Amanda and Marlee. About Planet Smoothie! 3 rd Largest American Smoothie Company Founded 1995; Atlanta, GA Bonnie Rhinehardt –President Franchise 16 States.
+ Section 11.1 Chi-Square Goodness-of-Fit Tests. + Introduction In the previous chapter, we discussed inference procedures for comparing the proportion.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 9 Testing a Claim 9.3 Tests About a Population.
WARM – UP: The Math club and the Spanish club traditionally are composed of a similar distribution of class level. A random sample of this year’s math.
Lecture 7: Bivariate Statistics. 2 Properties of Standard Deviation Variance is just the square of the S.D. If a constant is added to all scores, it has.
11.1 Chi-Square Tests for Goodness of Fit Objectives SWBAT: STATE appropriate hypotheses and COMPUTE expected counts for a chi- square test for goodness.
Chapter 26: Inference for Slope. Height Weight How much would an adult female weigh if she were 5 feet tall? She could weigh varying amounts – in other.
AP Stats Check In Where we’ve been… Chapter 7…Chapter 8… Where we are going… Significance Tests!! –Ch 9 Tests about a population proportion –Ch 9Tests.
Check your understanding: p. 684
CHAPTER 11 Inference for Distributions of Categorical Data
CHAPTER 11 Inference for Distributions of Categorical Data
CHAPTER 11 Inference for Distributions of Categorical Data
CHAPTER 11 Inference for Distributions of Categorical Data
CHAPTER 11 Inference for Distributions of Categorical Data
CHAPTER 11 Inference for Distributions of Categorical Data
8.3 Estimating a Population Mean
CHAPTER 11 Inference for Distributions of Categorical Data
CHAPTER 11 Inference for Distributions of Categorical Data
CHAPTER 11 Inference for Distributions of Categorical Data
Inference for Distributions of Categorical Data
Presentation transcript:

How sweet of a deal are you really getting? By Kelly Culp, Ashley Hall, and Amanda Simo

We wanted to research how many Sour Patch Kids were distributed in a bulk bag From there we wanted to see if the weight of the actual candies was equal to the claim on the package To do this we purchased bulk bags from both Costco and BJs We calculated the number, color, and weight of the Sour Patch Kids in each mini packet

A B RIEF HISTORY ON THE LIFE OF SOUR PATCH KIDS Sour Patch Kids started as Mars Men – which were sold as one cent a piece The inspiration occurred during a time when UFO sighting were exciting Idea of a sour-coated soft candy with an “out of this world” tartness was developed in the late 1970s Believed that Frank Galatolie came up with idea of introducing sour products in soft confectionery category and experiment with cherry candy products New product was named Sour Patch Kids and distributed in the US in 1985

P ROCEDURE In order to collect our data, we purchased bulk bags from Costco and BJs We took out the Swedish fish packets, and counted the Sour Patch Kids packets For each packet, we calculated the weight with a scale (in grams) We counted each color for the population of each bag, and the population of

DISTRIBUTION OF COLORS Distribution of the population of sour patch colors remains very even. The means all colors fall within the range.

F REQUENCY H ISTOGRAMS FOR C OLORS Distributions are slightly right skewed and unimodal. Red and yellow colored sour patch have outliers. Yellow has a outlier of 7 and red has an outlier of 6. Range: 0-5 Range: 0-7 Range: 0-5 Range: 0-6

H ISTOGRAM AND SCATTER PLOTS Our histograms show that the sour patch kids packets have a left skewed distribution, and are unimodal. Our range for the amount in each packet is from Our scatter plot shows that the weight and amount of sour patch kids is linear. As the amount of sour patch kids in each packet increases, the weight of the packet increases.

B OX PLOTS Our box plot shows that BJs appears to have a more even distribution of the amount of candies, and only two outliers. While Costco has 6 outliers. Costco has a greater range and smaller IQR, while BJs has a much large IQR but a smaller range. The weight of the candies appears to be slightly left skewed for both box plots between both stores. However, Costco has a smaller IQR, while BJs has a smaller range. * These box plots appear similar because as we showed before, the amount and weight have a linear relationship.

C ONCLUSIONS ABOUT OUR POPULATION Colors of the candies are evenly distributed The population of each color in each packet range from 0-7 Both yellow and red had outliers The distribution of the amount of candies is left skewed, and unimodal Mode = 8 Costco appears to have a lot more outliers and smaller IQR, but a greater range than BJs Costco’s distribution is more random

A SSUMPTIONS FOR 1 SAMPLE T - TEST ( TO SEE IF THE 15.0 CLAIM FITS ) 1) SRS 2) Pop ≥ 10n 3) Normal population or n ≥ Assumed representative 2. Population of all Sour Patch Kids packets is greater than 1, ≥ 30 STATECHECK Conditions met → Student’s t-distribution → 1 sample t-test

1 S AMPLE T - TEST M ECHANICS – 15 = = * P(t< │df =139) = * We reject the H 0 because the p value of * is less than alpha =.05. We have sufficient evidence that the true mean of the weight of sour patch kids per bag is not equal to15 grams. The stated weight on the outside of the bag incorrectly estimates the actual weight of the sour patch kids.

C HI - SQUARE GOODNESS OF FIT TEST FOR COLOR 1) Categorical Data 2) SRS 3) All expected counts ≥ 5 1) Colors are categorical 2) Assumed representative 3) All expected counts are greater than 5 STATECHECK YellowGreenRedOrange Observed Expected235.5 Conditions met → distribution → GOF test

MECHANICS p( x²›.9724 │ df=3)=.8079  We fail to reject the Ho because our p-value of.8079 is greater than  =.05.  We have sufficient evidence that the color Sour Patch Kids in the tiny packets are evenly distributed.

1 SAMPLE T - INTERVAL (95% CONFIDENCE ) 1) SRS 2) Population ≥ 10n 3) Normal population or n ≥ 30 1) Assumed representative 2) All Sour Patch Kids packets are greater than 1,400 3) Normal population displayed on graph STATECHECK Conditions met → Student’s t-distribution → 1 sample t-interval

1 SAMPLE T - INTERVAL MECHANICS = = (12.468,13.677)  We are 95% confident that the true mean of the weight of the bags of sour patch kids is between and grams.

C HI - SQUARE HOMOGENEITY FOR COLOR VS. STORE 1) Categorical Data 2) SRS 3) All expected counts ≥ 5 1) Colors are categorical 2) Assumed representative 3) All expected counts are greater than or equal to 5 STATECHECK Conditions met → distribution → Test for Homogeneity

H YPOTHESIS Ho: The distribution of colors within the sour patch kids bags has no association to the store they were bought at. Ha: The distribution of colors within the sour patch kids bags has an association to the store they were bought at.

M ECHANICS YellowGreenRedOrange BJs108 (113.9)127 (116.37)109 (112.91)121 (121.82) Cosco122 (116.1)108 (118.63)119 (115.09) ) df = 3 p( x²›2.806 │ df=3)=.4225  We fail to reject the Ho because our p-value of.4225 is greater than  =.05.  We have sufficient evidence that the distribution of colors within the sour patch kids bags has no association to the store they were bought at.

P ERSONAL O PINIONS / C ONCLUSIONS The data was really hard to collect Tedious and Long Some were not full Sour Patch Kids so we had to use our judgment They are really good Had no problem eating them A mountain of Sour Patch Kids Should have purchased from a wide range of stores Hard to tell the true distribution, as some packaging of Sour Patch kids are sold differently Interesting experiment The distributions are fairly accurate The weight of the packets are below the stated weights

A PPLICATION When buying the packets of Sour Patch Kids, in the bulk size bags, you have a good chance of getting an even amount of each color HOWEVER, this is only if you go through each packet Some packets had 0 Sour Patch, and some had only one color! When buying Bulk Bags from Cosco, you are more likely to get outliers, meaning you have a greater chance of getting some with a lot of candies or very few Either way, the amount does not equal the 15 gram claim!

B IAS / ERROR Human error When quickly counting the colors and weight we may have forgotten to zero the scale The weight of the sugar may have added, some bags had lots more sugar than others Only counted data from two stores: Cosco and BJs These are only one type of packaging, Sour Patch Candies come in all sorts of ways to buy These may have different distributions

C ONCLUSION The amount of Sour Patch Kids in each bag does not equal 15 grams, the expected interval is between and grams There is an even distribution between colors, when looking at the amount in all the packets The amount of candies in each packet is not evenly distributed Distribution is left skewed