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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 corn Yellow corn 175 52 1|Page B. 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 dominantObserved values over yellow corn) Purple corn Yellow corn 176 52 C. 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 corn Yellow corn 227 32

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 corn Yellow corn 175 52 1|Page B. 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 dominantObserved values over yellow corn) Purple corn Yellow corn 176 52 C. 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 corn Yellow corn 227 32

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.1: Stem-and-leaf Plots And Histograms
Problem 5E
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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 cach 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 set. ОВJЕСTIVES The students should be able to: a. To compare phenotypic data derived from actual crosses to expected values using the Chi-square test b. To be able to interpret the results of chi-square values derived from computations of monohybrid crosses 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 corn 175 52 Yellow corn 1|Page B. 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 corn Yellow corm 176 52 C. 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 corm Yellow corn 227 32
Transcribed Image Text: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 cach 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 set. ОВJЕСTIVES The students should be able to: a. To compare phenotypic data derived from actual crosses to expected values using the Chi-square test b. To be able to interpret the results of chi-square values derived from computations of monohybrid crosses 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 corn 175 52 Yellow corn 1|Page B. 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 corn Yellow corm 176 52 C. 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 corm Yellow corn 227 32
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