• No results found

MM chi square lab

N/A
N/A
Protected

Academic year: 2020

Share "MM chi square lab"

Copied!
6
0
0

Loading.... (view fulltext now)

Full text

(1)

Judith S. Nuño AP Biology 12/1/2005 

Title: Chi­Square Analysis and M&M’s 

Purpose: 

to practice using chi­square analysis 

to compare the observed and expected color ratios of M&M’s candies 

Null Hypothesis: 

If the Mars Co. M &M sorters are doing their job correctly, then there should be no  difference in M&M color ratios between actual store­bought bags and what the Mars Co.  claims are the actual ratios. 

Materials:  bags of M&M’s 

Procedure: 

1.  Obtain bags of M&M’s 

2.  Determine the expected number of M&M’s (http://us.mms.com/us/about/products/  a.  Record in Data Table A 

3.  Determine the actual number of M&M’s of each color  a.  Record in Data Table A 

4.  Calculate the Chi­Square value.  a.  Show your calculations! 

5.  Determine degrees of freedom (number of classes − 1)  6.  Use the 0.05 probability level as the critical value. 

a.  If the calculated chi­square value is less than the 0.05 value, we accept the  NULL hypothesis. 

b.  If the value is greater than the value, we reject the NULL hypothesis.  7.  Repeat using a different type of M&M’s. Record in Data Table B 

8.  Share your data with classmates 

Data Table A:  Expected and Observed Color Ratios for M&Ms  (type = __________)  Expected* (percent) 

Red  Brown  Blue  Yellow  Green  Orange 

**Observed (number/percent) 

/  /  /  /  /  /  / 

Data Table B:  Expected and Observed Color Ratios for M&Ms  (type = __________)  Expected* (percent) 

Red  Brown  Blue  Yellow  Green  Orange 

**Observed (number/percent) 

/  /  /  /  /  /  / 

*Source = http://us.mms.com/us/about/products/ 

** # M & M's of one color x 100 

total # M & M's

c

2  (Observed Value ­ Expected Value)  2 

(2)

Judith S. Nuño AP Biology 12/1/2005 

Data Table C:

Χ

2 Calculations Individual Data       M&M’s Type _______________ 

A  B  C  D  E 

Obs  Exp  (Obs − Exp)  (Obs − Exp) 2  Obs − Exp) 

Exp  Red 

Brown  Blue  Yellow  Green  Orange

Χ

Degrees of Freedom 

Accept or reject null hypothesis? 

Data Table D:

Χ

2 Calculations Individual Data       M&M’s Type _______________ 

A  B  C  D  E 

Obs  Exp  (Obs − Exp)  (Obs − Exp) 2  Obs − Exp) 

Exp  Red 

Brown  Blue  Yellow  Green  Orange

Χ

Degrees of Freedom 

Accept or reject null hypothesis? 

*

Χ

2 tutorial http://www.ndsu.nodak.edu/instruct/mcclean/plsc431/mendel/mendel4.htm  Discussion and Analysis: 

Are the Mars Co M&M sorters doing a good job? Explain! 

Conclusion: The null hypothesis, that the M&M sorters are doing  a good job, is (accepted, rejected) for (type of M&Ms). 

You will have a conclusion for each type of M&M examined! 

Reflection: personal statement 

If the

Χ

2 is smaller than the critical value for the indicated degrees of freedom, then we accept the null hypothesis that  the variation in color percentages is due to chance (random) variation. 

If the

Χ

2 is larger than the critical value for the indicated degrees of freedom (# classes­1), then we reject the null  hypothesis and conclude that the sorters are doing a statistically significant poor job. 

The test does NOT indicate reasons for a poor job! 

Probability  Degrees of 

Freedom  0.9  0.5  0.1  0.05  0.01  1  0.02 0.46 2.71  3.84  6.64  2  0.21 1.39 4.61  5.99  9.21  3  0.58 2.37 6.25  7.82 11.35  4  1.06 3.36 7.78  9.49 13.28  5  1.61 4.35 9.24 11.07 15.09

(3)

M&M's.com > About M&M'S® Brand > Products

There's more to M&M'S® Chocolate Candies than delicious chocolate and colorful candy coatings! Get fun facts and nutritional info about your favorite M&M'S® Chocolate Candies.

An American original—the first ever M&M'S®

Chocolate Candies.

A little nutty... and a lot tasty.

Dark just got fun! Colorful dark chocolate candies to tempt your taste buds.

If you go nuts for dark chocolate, this is the perfect candy for you!

A delectable combo of almonds and chocolate.

Fruit-flavored M&M'S® Chocolate Candies-this is berry big news!

Part peanut butter, part chocolate—all delicious.

Teeny-tiny candies full of M&M'S® Chocolate Candy flavor.

Perfect for your favorite recipes.

Delicious, creamy ice cream that'll keep you cool.

Choose colors, messages, and more!

Where to Buy M&M'S® Candies | Change Your Email | Contact Us | Site Map | International

PRIVACY POLICY | Note to Parents | Legal | Allergy Info | Site Owner | MARS Snackfood US Newsroom

© 2007 Mars, Incorporated and its Affiliates. All Rights Reserved.

A Word from Our Sponsor: This site includes information, games, advertisements and promotional offers featuring our products. Children should get a parent's permission before visiting any website or giving personal information. You must be 18 or older to shop online.

(4)

Get the lowdown on the candy that started it all— original M&M'S® Milk Chocolate Candies.

M&M'S® Milk Chocolate Candies were first manufactured in 1940, when Forrest E. Mars, Sr. formed the company in Newark, New Jersey. His original idea was to offer

chocolates with a sugar shell that could be sold throughout the year and wouldn't melt during the summer.

Amount/Serving %DV**

Calories 240

Fat Calories 90 Total Fat 10g 15% Saturated Fat 6g 30%

Trans Fat 0g

Cholesterol 5mg 2%

Sodium 30mg 1%

Total Carb. 34g 11%

Fiber 1g 4%

Sugar 31g

Protein 2g

Vitamin A*

Vitamin C*

Calcium 4%

Iron 2%

Riboflavin 4%

Niacin

Thiamine

Serving Size 1.69 ounces (47.9grams)

*Contains less than 2 percent of the Daily Value of these nutrients. **Percent Daily Values (DV) are based on a 2,000 calorie diet. Available in these sizes: 1.69 oz., 3.14 oz., 5.3 oz., 9.4 oz., 14 oz., 21.3 oz., 52 oz.

M&M's.com > About M&M'S® Brand > Products > Milkchocolate

(5)

Mendelian Genetics

Mendel's First Law

Variations to

Mendel's First Law

Pedigree Analysis

Mendel's Second

Law

Chi-Square Test

Pleiotropy

Epistasis

Modifier Genes

Penetrance and

Expressivity

Study Questions

Mendelian Genetics

Overheads

Mendelian Genetics

WWW Links

Genetic Topics

The Chi-Square Test

An important question to answer in any genetic experiment is how

can we decide if our data fits any of the Mendelian ratios we have

discussed. A statistical test that can test out ratios is the

Chi-Square or Goodness of Fit test.

Chi-Square Formula

Degrees of freedom (df)

= n-1 where n is the number of classes

Let's test the following data to determine if it fits a 9:3:3:1 ratio.

Observed Values

Expected Values

315 Round, Yellow Seed

(9/16)(556) = 312.75 Round, Yellow

Seed

108 Round, Green Seed

(3/16)(556) = 104.25 Round, Green

Seed

101 Wrinkled, Yellow

Seed

(3/16)(556) = 104.25 Wrinkled,

Yellow

32 Wrinkled, Green

(1/16)(556) = 34.75 Wrinkled,

Green

556 Total Seeds

556.00 Total Seeds

Number of classes

(n) = 4

(6)

Mendelian Genetics

df

= n-1 + 4-1 = 3

Chi-square value = 0.47

Enter the Chi-Square table at df = 3 and we see the probability of

our chi-square value is greater than 0.90. By statistical

convention, we use the 0.05 probability level as our

critical value

.

If the calculated chi-square value is less than the 0 .05 value, we

accept the hypothesis. If the value is greater than the value, we

reject the hypothesis. Threrefore, because the calculated

chi-square value is greater than the we accept the hypothesis that the

data fits a 9:3:3:1 ratio.

A Chi-Square Table

Probability

Degrees of

Freedom

0.9 0.5 0.1 0.05 0.01

1

0.02 0.46 2.71 3.84 6.64

2

0.21 1.39 4.61 5.99 9.21

3

0.58 2.37 6.25 7.82 11.35

4

1.06 3.36 7.78 9.49 13.28

5

1.61 4.35 9.24 11.07 15.09

Copyright © 2000. Phillip McClean

References

Related documents

Zuhdi, Mori, and Kamegai, Analysis of Influences of ICT on Structural Changes in Japanese Commerce, Business Services and Office Supplies, and Personal Services Sectors

Treatment objectives: Apply and design fashion and photographic make-up, product choice, colour range/selection, suitable techniques to meet design brief (skin condition,

As in the model with previous earnings, the estimates of the eect of potential benet duration on subsequent job hazards indicate that most of the matching eects of UI benets are

In this note, we demonstrate using two simple examples that generalization of the Banzhaf measure of voter influence to non-binary voting games that requires as starting position

What are the driving factors leading companies to request sales tax outsourcing services:. • Complexity of returns at the local level of tax (County

Recording Data for New or Revised Course (Record only new or changed course information.) Course prefix (3 letters) Course Number (3 Digits) Effective Term (Example:

We find that (a) a variety of stylistic elements that previous literature has seen as part of populist actors’ communication strategy can be condensed to three dimen-

Clement (2004) estimated that the average duration of a polarity transition is approximately 7 kyr, based on data from 30 selected sedimentary records spanning the four most