Name:RATING:Schedule:Date Submitted:Activity No. 07CHI-SQUARE TESTThe Chi-square test will be used to compare phenotypic values derived from the actual crosses to theexpected values from the theoretical crosses. This test is a simple statistical test to evaluate the amount ofdeviation from the expected equal frequency ratio in each class The chi-square test can be used to test any ratiogoodness of fit. The calculated chi-square value is obtained by the formula: X? = E (O-E)/ E. Where,O- observed number on the actual cross; observed valueE- calculated or expected frequency (from the corresponding theoretical cross)E- summation symbol which means that you'll have to perform a calculation for every single data itemin your data sct.OBJECTIVESThe students should be able to:To compare phenotypic data derived from actual crosses to expected values using the Chi-square testb. To bc able to interpret the results of chi-square values derived from computations of monohybrid crossesa.MATERIALSObserved data from the Monohybrid experiment (Results of the experiments from the previous batch)PROCEDURE:A. Given the observed values below, is there an agreement between the expected and observed ratios? Doesit fit the 3:1 ratio? State the reason behind.Phenotypes (Purple is dominant Observed valuesover yellow corn)Purple com175|52Yellow corn1|Page

Chi-square test of goodness to fit is used to test whether the population follows the specified…

PROCEDURE: A. Given the observed values below, is there an agreement between the expected and observed ratios? Does it fit the 3:1 ratio? State the reason behind. Phenotypes (Purple is dominant Observed values over yellow corn) Purple com 175 Yellow corn 52

PROCEDURE: A. Given the observed values below, is there an agreement between the expected and observed ratios? Does it fit the 3:1 ratio? State the reason behind. Phenotypes (Purple is dominant Observed values over yellow corn) Purple com 175 Yellow corn 52

Mathematics For Machine Technology

8th Edition

ISBN:9781337798310

Author:Peterson, John.

Publisher:Peterson, John.

Chapter29: Tolerance, Clearance, And Interference

Section: Chapter Questions

Problem 16A: Spacers are manufactured to the mean dimension and tolerance shown in Figure 29-12. An inspector...

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Question

Name:
RATING:
Schedule:
Date Submitted:
Activity No. 07
CHI-SQUARE TEST
The Chi-square test will be used to compare phenotypic values derived from the actual crosses to the
expected values from the theoretical crosses. This test is a simple statistical test to evaluate the amount of
deviation from the expected equal frequency ratio in each class The chi-square test can be used to test any ratio
goodness of fit. The calculated chi-square value is obtained by the formula: X? = E (O-E)/ E. Where,
O- observed number on the actual cross; observed value
E- calculated or expected frequency (from the corresponding theoretical cross)
E- summation symbol which means that you'll have to perform a calculation for every single data item
in your data sct.
OBJECTIVES
The students should be able to:
To compare phenotypic data derived from actual crosses to expected values using the Chi-square test
b. To bc able to interpret the results of chi-square values derived from computations of monohybrid crosses
a.
MATERIALS
Observed data from the Monohybrid experiment (Results of the experiments from the previous batch)
PROCEDURE:
A. Given the observed values below, is there an agreement between the expected and observed ratios? Does
it fit the 3:1 ratio? State the reason behind.
Phenotypes (Purple is dominant Observed values
over yellow corn)
Purple com
175
|52
Yellow corn
1|Page

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