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enot [183]
3 years ago
15

A stragitic defense strategy calls for missiles to be fired independelty at a target until the target us hit. Let the probabilit

y that any missile will hit the target be .8 and x=# of missiles fired at the target
Mathematics
1 answer:
AleksandrR [38]3 years ago
7 0

Points:

The question is incomplete as the value of x is not given and what is required is not stated.

<em>However, I'll assume that x = 5</em>

Going by the details of the question, possible questions could be:

  • Expected number of hits
  • Variance and Standard Deviation of hits

Answer:

See Explanation

Step-by-step explanation:

Given

Represent the probability with p.

So:

p = 0.8

Solving (a): The expected number of hits.

In probability, the expected number is calculated as:

E(x) = p * x

Substitute values for p and x

E(x) = 0.8 * 5

<em>Remember that 5 is an assumed value of x</em>

E(x) = 4

<em>Hence, the expected number of hits when 5 missiles is fired is 4</em>

Solving (b): Variance

In probability, variance is calculated as:

variance = x*p*(1-p)

Substitute values for p and x

variance = 5*0.8*(1-0.8)

variance = 5*0.8*0.2

variance = 0.8

<em>Hence, the variance is 0.8</em>

Solving (c): The standard deviation

In probability, the standard deviation is calculated as:

SD= \sqrt{Variance

Substitute values for variance

SD= \sqrt{0.8

SD= 0.89

<em>Hence, the standard deviation is 0.89</em>

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Given the functions a(x) = 3x - 12 and b(x) = x-9, solve a[b(x)].
Thepotemich [5.8K]

Answer:

Step-by-step explanation:

hello :

a(x) = 3x - 12 and b(x) = x-9, so

a[b(x)]=a(x-9) =3(x-9)-12

a[b(x)]=3x-9-12

a[b(x)]=3x+21

5 0
2 years ago
True or False? A circle could be circumscribed about the quadrilateral below.
BlackZzzverrR [31]

Answer: false


Step-by-step explanation: the answer is false because suplimentary angled dont add up to 180


3 0
3 years ago
Read 2 more answers
If someone could get both it would be greatly appreciated
Irina-Kira [14]
The answer to your question is 8.6
7 0
3 years ago
Read 2 more answers
10 points.
rusak2 [61]

Answer:

<u>The difference between the experimental probability and the theoretical probability is 0.08 (rounding the answer to the nearest hundredth) or 8%.</u>

Correct statement and question:

Regina has a bag of 6 orange marbles and 6 black marbles. She picks a marble at random and then puts it back in the bag. She does this 24 times. The results can be found in the table.

Outcome Tally

Orange  10

Black     14

Figure out the percent error of pulling a black marble in Regina’s experiment. Show your work and round the answer to the nearest hundredth.

Source:

Previous question that can be found at brainly

Step-by-step explanation:

1. Let's review the information provided to us to answer the question correctly:

Number of orange marbles = 6

Number of black marbles = 6

Number of times of the experiment = 24

Number of times the outcome was an orange marble = 10

Number of times the outcome was a black marble  = 14

2. Figure out the percent error of pulling a black marble in Regina’s experiment. Show your work and round the answer to the nearest hundredth.

The theoretical probability of pulling a black marble is 12/24 or 0.5, given that the number of orange and black marbles are equal and actually, the experimental probability is 14/24 or 0.5833.

We can't describe this difference as an "error". What happened here is that there is a difference between the experimental probability and the theoretical probability.

0.5833 - 0.5 = 0.0833 = 0.08 (rounding the answer to the nearest hundredth)

<u>The difference between the experimental probability and the theoretical probability is 0.08 (rounding the answer to the nearest hundredth) or 8%.</u>

5 0
3 years ago
We have five samples of data: sample A with 30 successes of 50 cases, sample B with 600 successes of 1000 cases, sample C with 3
faust18 [17]

Answer:

C. with 3000 successes of 5000 cases sample

Step-by-step explanation:

Given that we need to test if the proportion of success is greater than 0.5.

From the given options, we can see that they all have the same proportion which equals to;

Proportion p = 30/50 = 600/1000 = 0.6

p = 0.6

But we can notice that the number of samples in each case is different.

Test statistic z score can be calculated with the formula below;

z = (p^−po)/√{po(1−po)/n}

Where,

z= Test statistics

n = Sample size

po = Null hypothesized value

p^ = Observed proportion

Since all other variables are the same for all the cases except sample size, from the formula for the test statistics we can see that the higher the value of sample size (n) the higher the test statistics (z) and the highest z gives the strongest evidence for the alternative hypothesis. So the option with the highest sample size gives the strongest evidence for the alternative hypothesis.

Therefore, option C with sample size 5000 and proportion 0.6 has the highest sample size. Hence, option C gives the strongest evidence for the alternative hypothesis

3 0
3 years ago
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