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makkiz [27]
3 years ago
5

The Punnett square below shows the cross between two parents heterozygous for two traits. In horses, the allele for black color

(B) is dominant over the allele for white color (b). Long hair (H) is
dominant over the short hair (h).
1. What are the genotype and phenotype of the offspring in block A, B, C, D, and E?
2. What is the probability of getting a black horse with short hair?
Genotype
Phenotype
A
B
с
D
E

Mathematics
1 answer:
jok3333 [9.3K]3 years ago
8 0

See the attached table of genotypes.

A black horse with short hair has genotype Bxhh, where the x can be either B or b. According to the table, 3 of the 16 possible genotypes match this pattern, so the probability is 3/16.

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The answer would be commutative.

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127.90 in expanded form:


100 + 20 + 7 + 0.9

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7 0
3 years ago
Mike and Teegan each measured the volume of the 16-ounce bottle three times. They recorded their measurements as shown. Mike: 16
-BARSIC- [3]

Answer:

The correct option is;

Mike's measurement are more precise and more accurate

Step-by-step explanation:

The given information are;

The mass of the measured bottle = 16-ounce

The record of the measurements made by Mike are;

16.4 oz

15.2 oz

15.8 oz

The record of the measurements made by Teegan are;

16.34 oz

16.59 oz

15.13 oz

From the two measurements, we have;

The precision of a measurement depends on how close the values of the measurement are to one another, therefore, we have;

For Mike, the precision is given as follows

16.4 - 15.2 = 1.2

16.4 - 15.8 = 0.6

15.8 - 15.2 = 0.6

Total difference = 1.2 + 0.6 + 0.6 = 2.4

For Teegan , the precision is given as follows

16.59 - 16.34 = 0.25

16.59 - 15.13 = 1.46

16.34 - 15.13 = 1.21

Total difference = 0.25 + 1.46 + 1.21 = 2.92

Therefore, Mike's measurements are more precise than Teegan's measurements

The accuracy of the measurement is the amount of closeness the measurements are to a given value

In the question, the given value is 16-ounces of the volume of the bottle

Therefore, by the mean absolute deviation from the 16-ounce of the bottle, we have;

For Mike;

Mean \ absolute  \ deviation = \dfrac{\left | 16.4 - 16 \right | + \left | 15.2 - 16 \right | + \left | 15.8 - 16 \right | }{3} = 0.533

For Teegan, we have;

Mean \ absolute  \ deviation = \dfrac{\left | 16.34 - 16 \right | + \left | 16.59 - 16 \right | + \left | 15.13 - 16 \right | }{3} = 0.6

Therefore, Mike's measurement is more accurate than Teegan's measurement.

Which gives;

Mike's measurement are more precise and more accurate.

9 0
3 years ago
The percentage of high school students who graduate is equal to 55%.
Gnom [1K]

Answer:

Type 1 error:

D)Reject the null hypothesis that the percentage of high school students who graduate is equal to 55 % when that percentage is actually equal to 55 %.

Type 2 error:

B,)Fail to reject the null hypothesis that the percentage of high school students who graduate is equal to 55 % when that percentage is actually less than 55 %.

Step-by-step explanation:

When something that is true, is been rejected, then it's reffered to as Type I, on the other hand when

Whensomething that is false is been failed to be rejected then it's reffered to as that is Type II

Type I ;

This is to reject Hypothesis when Hypothesis is true, i.e rejecting of the null when it's true.

For instance from the question,

The percentage of high school students who graduate is equal to 55%. Then to get the Type1 , One would say the percentage of high students who graduated is not 55% when it is in actual sense

Type II ;

This is happen when we accept a false null hypothesis which means it takes place when We fail to reject Hypothesis when it is False.

For instance, from the question which says The percentage of high school students who graduate is equal to 55%. Then for type II to occur One would say it is 55% when it is really not 55%.

8 0
4 years ago
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