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Chi Square Bio340 ASU Exam Questions and Complete Solutions Graded A+

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Chi Square Bio340 ASU Exam Questions and Complete Solutions Graded A+

Institución
ASU BIO 340
Grado
ASU BIO 340










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Institución
ASU BIO 340
Grado
ASU BIO 340

Información del documento

Subido en
3 de agosto de 2024
Número de páginas
17
Escrito en
2024/2025
Tipo
Examen
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Chi Square Bio340
ASU Exam
Questions and
Complete Solutions
Graded A+
Denning [Date] [Course title]

,Null hypothesis: H0 - Correct Ans: • there is no association between two phenomena

• there is no effect by a drug on a disease

• there is no linkage between two genes

• there is no evolution occurring in the gene pool



Alternative hypothesis: H1 - Correct Ans: An alternative hypothesis (H1) is the rival to the

null and defines the rejection region

• One-tailed: the region of rejection is in one tail of

the sample

• Our company's new drug works better than the

competitor's

• Two-tailed: the region of reject is in both tails of

the sample

• Our company's new drug works differently than

the competitor's



If we can reject the null hypothesis, we say

there is evidence for the alternative hypothesis



Histogram of results - Correct Ans: With a significance level of

0.05, you have a 5%

chance of rejecting the null

hypothesis, even if it is

true. 5% of your

experiments will give you

data that are significantly

different, just by chanc



Dihybrid test cross

, What is our null hypothesis H0 for genotype ratios?

GgWw x ggww - Correct Ans: phenotype Genotype Probability

Dominant for both traits Gg Ww

Dominant for the first and

recessive for the second Gg ww

Recessive for the first and

dominant for the second gg Ww

Recessive for both gg ww



GgWw Ggww gg Ww gg ww

Observed 5 45 45 5

Obs. Ratio 1 9 9 1

Expected 25 25 25 25

Exp. Ratio 1 1 1 1



How are we going to test the null hypothesis

with four categories? - Correct Ans: Pearson's chi-squared test (test

statistic)



Pearson's chi-squared test (test

statistic) - Correct Ans: Pearson's X2 allows you to summarize your

observed data into a single value

• Pearson's X2 statistic allows us to summarize how

well our observed offspring numbers fit the

expected numbers

• Important: the sum uses counts not ratios

AND takes over all offspring types



chi-squared test (test

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