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3 years ago

In a BB x bb cross

Biology

2 answers:

Anna71 [15]3 years ago

5 0

Answer:

a. 100% of the offspring will have the Bb genotype

Explanation:

In a BB x bb cross, the one with BB genotype produces B gamete, while the other only produces b gamete.

Therefore, the zygote in this cross has Bb genotype.

Nikitich [7]3 years ago

5 0

Answer:

100% of the offspring will have the Bb genotype

Explanation:

This cross involves a single gene that has two alternative forms called ALLELES. One allele is 'B' and the other is 'b'. In the cross, both parents are purebreeding or homozygous i.e. they contain identical alleles for a particular trait (BB and bb). Therefore, according to Mendel's law of segregation, the alleles of each parent will separate into gametes during meiosis.

Parent 'BB' will produce gametes containing allele 'B' while parent 'bb' will produce gametes containing allele 'b'. Each gametes will then combine randomly. Since only gametes B and b are produced by each parent, all the offsprings produced will have a heterozygous genotype: Bb. Hence, 100% of the F1 offsprings will possess Bb genotype.

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Answer:

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Explanation:

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4 years ago

In 3-4 sentences, explain how Waste Management is contributing to conservation efforts.

tekilochka [14]

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Explanation:

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3 years ago

Write a paragraph on testing probability

VashaNatasha [74]

Explanation:

Probabilities are described as ratios of favorable event outcome to the total number of event outcomes.

This is written as...

$P (E) =\frac{n(E)}{n(S)} \\$

where...

E= the number of times the event occurs

S= the number of trials

In biology experiments, hypotheses are formed based on research questions, and tested with the use of variables to provide a particular outcome. Statistics allows for testing data for consistency with the hypothesis, while statistical probability testing can be used in experiments to determine a range of outcomes, from genetic inheritance, evolutionary rates to theoretical experimental results.

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Further Explanation:

For example, two types of probability distributions are employed in experimental biology:

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where...

b(x; n, P)-the probability that an experiment of n trials results in x successes

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$b(x; n, P) = [ nCx ]* P^{x} * (1-P)^{n-x}\\$

<em>This is often used in determining potential outcomes before data collection.</em>

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$t= \frac{(x_{1} - x_{2}) }{\sqrt{(\frac{(S_{1}) ^{2} }{n1} }+ (\frac{(S_{2}) ^{2} }{n2 }}$

where...

x1 and s1 are the mean and standard deviation of sample 1 respectively
x2 and s2 are the mean and standard deviation of sample 1 respectively
n1 and n2 are sample sizes in samples 1 and 2 respectively

The null and alternate hypotheses typically theorize the likelihood and significance of certain event outcome probabilities. Critical values of t, along with degrees of freedom are used to determine a range of probable outcomes; probability or p- values along with this range, are used to determine whether either hypothesis is rejected or accepted.

<em>For instance, significant differences between an experimental control and a specific treatment group would show that these occurrences are not due to sampling errors or random chance...</em>

Learn more about calculating probability at brainly.com/question/4021035

Learn more about calculating event probability at brainly.com/question/6649771

#LearnWithBrainly

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