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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

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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
Transcribed Image Text: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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