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luda_lava [24]
3 years ago
6

A veterinarian is using a new vaccine for cats. The vaccine has a 10% probability of causing side effects. In which distribution

s does the variable X have a binomial distribution? Select each correct answer.
_When the vaccine is given to multiple cats, X is the total number of cats that receive the vaccine
_When the vaccine is given to multiple cats, X is the number of cats that receive the vaccine until one of them has side effects.

_When the vaccine is given to three cats, X is the number of cats that have side effects.

_When the vaccine is given to six cats, X is the number of cats that do not have any side effects.
Mathematics
2 answers:
san4es73 [151]3 years ago
5 0

Answer is option (1) When the vaccine is given to multiple cats, X is the total number of cats that receive the vaccine.

So for the random variable X ,where X is the total number of cats that receive the vaccine. We have the binomial distribution for

probability of causing side effect denoted by

p = 10% =0.1

and probability of not causing side effect denoted by

q = 1-0.1 =0.9

Then  probability function for random variable X is

P(X=n)={C}\binom{n}{0}p^{0.1}q^{0.9}

where n is total number of cats.



liq [111]3 years ago
3 0
X follows the binomial distribution for the first experiment. 
Denote the probabilities like this: p=0.1,q=1-p=0.9
Then, 
P(X=n)=C_N^np^nq^{0.9}
Wherein N is the total number of cats that receive vaccine. 

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State your conclusion to the following hypothesis test.
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Answer:

Part A

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Part B

\hat Y = 17.9·(x) + 1.6

Part C

The teen pregnancy rate in Florida is 6.54

Step-by-step explanation:

The percentage of graduates that find full-time employment in their fields within the first year of graduation = 87%

The significant level of the hypothesis test = 5% = 0.05

The p-value = 0.07

Given that the testing conditions are met, we have;

The p-value is larger than the significant level of 0.05, therefore, it cannot be concluded that there is significant difference between the two rates

Therefore;

There is not enough statistical evidence available to come to a conclusion that the placement rate of full-time students has reduced below the given 87% because from the statistics, the p-value is larger than 0.05.

Part B

Number of Pages, x; 7, 12, 4, 14, 25, 30

Cost, y; 128, 213, 75, 250, 446, 540

The regression analysis formula is;

Y = a + b·X

We have;

b = \dfrac{N\sum XY - \left (\sum X  \right )\left (\sum Y  \right )}{N\sum X^{2} - \left (\sum X  \right )^{2}}

∴ b = (6×34602-92×1652)/(6×1930 - 92²) ≈ 17.852

a = \dfrac{\sum Y - b\sum X}{N}

a = (1652 - 17.852 × 92)/6 ≈ 1.6

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Part C

The given regression model is y = 4.3 + 1.4(x)

Therefore, at x = 1.6, we get;

y = 4.3 + 1.4 × 1.6 = 6.54

The suggests that the teen pregnancy rate in Florida is 6.54.

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Answer:

x is 21°

Step-by-step explanation:

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Based on the similar location the angles are formed by the transversal, <em>t</em>, and lines <em>m</em> and <em>n</em>, the angles are corresponding angles

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4 0
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Leno4ka [110]

Answer:

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Step by step Explanation'

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For us to know the value of C , we will look for a minimum integer such that having 'n' number of high performance level of employee has the probability below 0.01.

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BUT the summation of P( X= 0)+ P( X= 1) will give the value of 0.94 which doesn't exceed the 0.99 value,

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then the maximum value that C can have is 120/n

C=120/2=60

7 0
4 years ago
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