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 Yellow corn 175 52

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Solve Chi-square test
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.
ОВJЕСТIVES
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. ОВJЕСТIVES 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
B. Given the observed values below, is thcre 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
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
2 |Page
Transcribed Image Text:B. Given the observed values below, is thcre 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 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 2 |Page
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