will give brainleist

Changing any of these factors will impact the others. Increasing the sample size generally results in more accurate estimates, while increasing the desired confidence level or decreasing the acceptable sampling error requires a larger sample size.

Sample size refers to the number of individuals or observations included in a study or experiment. It is a crucial component of research design because it determines how much data can be collected and analyzed, as well as the precision and accuracy of the results.

Sampling error is the difference between the results obtained from a sample and the results that would have been obtained if the entire population had been surveyed. It is a measure of the variability between the sample estimate and the true population parameter.

In the given question,

The sample size, desired confidence level, and acceptable sampling error are all interrelated factors in statistical sampling. Changing any of these factors will have an impact on the others.

First, let's define each factor:

Now, let's discuss the effects of changing each factor:

Sample size: Increasing the sample size generally results in a more accurate estimate of the population parameter. This is because a larger sample size reduces the effect of random variability and increases the precision of the estimate.

Confidence level: Increasing the desired confidence level requires a larger sample size to achieve the same level of precision. This is because a higher level of confidence requires a wider confidence interval, which in turn requires more data points.

Sampling error: Decreasing the acceptable sampling error requires a larger sample size to achieve the same level of precision. This is because a smaller sampling error requires a narrower confidence interval, which in turn requires more data points.

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Answer: 3.4 The number of passengers with misplaced luggage if 1 million passengers pass through the St. Louis airport with checked baggage each month would be 3.4 passengers.

A six sigma program is a quality improvement methodology that uses data and statistical analysis to identify and eliminate defects in a process. Six Sigma methodologies are used to improve efficiency and minimize defects in many business processes, including baggage handling in airports.

Sigma is a term used to refer to standard deviation, which is a measure of the spread of data in a process. A six sigma program aims to reduce the standard deviation in a process to a level where there are fewer than 3.4 defects per million opportunities.

Therefore, if one million passengers pass through the St. Louis airport each month, a successful six sigma program for baggage handling would result in 3.4 passengers with misplaced luggage.

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It's difficult to provide a precise answer to this question without knowing the specific median salary for a construction worker and the median salary for teachers in the same geographic area or region.

However, according to data from the Bureau of Labor Statistics (BLS) in the United States, the median annual salary for construction workers as of May 2020 was $38,970, while the median annual salary for elementary, middle, and high school teachers was $61,660. This means that a person making the median salary for a construction worker would be making less than approximately 37% of teachers.

It's important to note that this is a general comparison and the specific salaries can vary depending on factors such as location, years of experience, education level, and job responsibilities.

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Answer:

y=-0.5x+2; y=3x-5

Step-by-step explanation:

First linear equation:

y=ax+b

A(0,2) B(4,0)

2=a*0+b

0=4*a+b

b=2

4a+b=0

4a+2=0

4a=-2

a=-0.5

y=-0.5x+2

Second linear equation:

y=cx+d

C(0,-5) D(2,1)

-5=c*0+d

1=c*2+d

d=-5

2c+d=1

2c-5=1

2c=6

c=3

y=3x-5

x is the number of sucesses.

e = 2.71828 is the Euler number.

μ​ is the mean in the given interval.

The probability that a randomly selected region had exactly two hits is 0.1710.

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

P(x)= (μ^x * e^-μ)/x!​

Where

x is the number of sucesses

e = 2.71828 is the Euler number

μ is the mean in the given interval.

A total of 535 bombs hit the combined area of 574 regions. So the mean hits per region is:

P = 535/574 = 0.9321

Assume that we want to find the probability that a randomly selected region had exactly two hits (i.e P(x = 2)).

P(x) = (μ^x * e^-μ)/x!​

P(2) = (0.9321^2 * e^-(0.9321))/2!​

P(2) = 0.1710

Therefore, the probability that a randomly selected region had exactly two hits is 0.1710.

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The most important condition for making an inference about a population mean from a significance test is that option (b) the data come from a random sample

A random sample is essential to ensure that the sample is representative of the population and that the statistical inference is valid. Other conditions, such as the absence of outliers, sample size, or population distribution, may also affect the validity of the inference, but they are not as crucial as the random sampling condition.

In practice, it is recommended to check for outliers, assess the sample size and the population distribution, and ensure other assumptions of the statistical test are met, such as the normality of the sampling distribution or the equal variance assumption, depending on the test used. However, the random sampling condition remains the most fundamental requirement.

Therefore, the correct option is (b) the data come from a random sample

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In long division, 63.92/9.4 results with quotient of 6.8.

Long division is a method of dividing two numbers by repeatedly subtracting the divisor from the dividend and keeping track of the resulting quotient and remainder. This method is often used when dividing two numbers with several digits. The process of long division involves several steps that are repeated until there is no remainder left or until a desired level of precision is achieved.

In long division, the dividend is the number being divided, and the divisor is the number by which the dividend is being divided. The quotient is the result of the division, and the remainder is the amount left over after the division is complete.

         006.800

94   |  639.200

 −0                  

 63        

 −0                

   639      

 −564            

           752    

    −752      

   0  

Thus, In long division, 63.92/9.4 results with quotient of 6.8.

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The graph of point V(-6,3) after a rotation 90° clockwise rotation around the origin is given below:

What is graph?

In mathematics, a graph is a visual representation of a set of objects, which are called vertices or nodes, connected by links or edges. A graph can be used to represent relationships or connections between objects in a clear and concise way.

To graph the image of point V(-6, 3) after a 90° clockwise rotation around the origin, we can use the following steps:

The graph of point V(-6, 3) and its image after a 90° clockwise rotation around the origin is shown below:

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(a) The predictor variable is Fall in feet and the response variable is Duration in seconds.

(b) The slope is in seconds per foot.

(c) The slope may be negative, as greater drop heights generally result in longer travel times.

(a) The predictor variable in this regression is Drop, which represents the drop height of the roller coaster, in feet, in feet. The response variable is Duration, which represents the duration of the trip, in seconds, in seconds.

(b) The units of slope in this regression are seconds per foot. This means that for each unit of increase in descent height in feet, the travel time will increase or decrease the value of the slope, measured in seconds per foot.

(c) The slope can be negative, as greater drop heights generally result in longer ride times, and the Tower of Terror roller coaster, which was exceptionally short despite its large drop height, has were removed from the analysis.

Therefore, the remaining 90 roller coasters in the dataset likely exhibit a negative relationship between drop height and time, meaning that as drop height increases, ride time decreases .

The Low R-value squared 29.4% means that the relationship between roller coaster drop and ride time in the data set is highly variable, but the negative slope indicates a general downward trend.

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Answer:

21

Step-by-step explanation:

Answer:7x+1

Step-by-step explanation:

1). Distribute: 9x-6-2x+7

2). Combine like terms: 9x+1-2x

3). Combine like terms: 7x+1

If we randomly choose three books, then the probability that the three we  choose will consist of each of their favorite books is 0.000081.

The total number of books is = 43 books.

Now, 3 books have to be selected.

So, the number of ways of choosing 3 different books from the 43 books can be calculated as : ⁴³C₃ = 12341,

The number of ways that those 3 get their favourite book is = ³C₃ = 1.

The probability that 3 you choose will consist of each of their favorite books is = 1/12341

= 8.103×10⁻⁵,

= 0.000081

Therefore, the required probability is 0.000081.

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The statement that is most important in gathering data for use in statistical analysis is option (a) Both efficiency and effectiveness are important when gathering data

Option a. Both efficiency and effectiveness are important when gathering data is the most appropriate answer.

Efficiency refers to the ability to gather data quickly and with minimal resources, while effectiveness refers to the ability to gather accurate and relevant data that is suitable for the intended analysis. Both of these factors are crucial in gathering data for statistical analysis.

Option b. The data should always be discarded immediately after gathering is incorrect because data is usually retained for further analysis and is not discarded immediately after gathering.

Option c. The data should be gathered in an effective manner is partially correct, but it does not address the importance of efficiency in the data gathering process.

Option d. The data should be gathered in an efficient manner is also partially correct, but it does not address the importance of effectiveness in the data gathering process.

Therefore, the correct option is (a) both efficiency and effectiveness are important when gathering data

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The correct answer is: Bus 18, with an IQR of 9

To determine the most consistent bus, we need to calculate the measure of variability, which gives us an idea of the spread of the data.

In this case, we'll use the Interquartile Range (IQR) as the measure of variability.

The IQR is the range between the first quartile (Q1, the 25th percentile) and the third quartile (Q3, the 75th percentile) of the data.

A smaller IQR indicates more consistency in travel times.

Bus 47 Travel Times: 4, 6, 10, 10, 12, 12, 14, 16, 16, 16, 18, 18, 22, 22, 28

Q1 (25th percentile): 10

Q3 (75th percentile): 22

IQR: 22 - 10 = 12

Bus 18 Travel Times: 6, 6, 8, 9, 10, 10, 12, 12, 14, 14, 16, 16, 18, 20, 22

Q1 (25th percentile): 9

Q3 (75th percentile): 18

IQR: 18 - 9 = 9

Comparing the IQRs, we can see that Bus 18 has a smaller IQR (9) compared to Bus 47 (12).

This means that Bus 18 has more consistent travel times than Bus 47.

So, the correct answer is:

Bus 18, with an IQR of 9

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Step-by-step explanation:

The restaurant can store approximately [tex]6.864 * 10^6[/tex] cubic centimeters of grease in the recycling tank in the shape of a cylinder.

The formula for the volume of a cylinder is V = π[tex]r^2[/tex]h, where V is the volume, r is the radius of the circular base, and h is the height of the cylinder.

To use this formula, we need to know the values of r and h for the grease recycling tank. The problem tells us that the diameter of the tank is 197.2 cm, which means the radius is half of the diameter:

r = d/2 = 197.2 cm / 2 = 98.6 cm.

The problem also tells us that the height of the tank is 223.7 cm.

Now we can plug in the values of r and h into the formula for the volume of a cylinder:

V = π[tex]r^2[/tex]h

V = π[tex](98.6 cm)^2(223.7 cm)[/tex]

V = [tex]3.14 * (98.6 cm)^2 * (223.7 cm)[/tex]

V ≈ [tex]6.864 * 10^6 cm^3[/tex]

Therefore, the volume of the grease recycling tank is approximately [tex]6.864 * 10^6[/tex] cubic centimeters, which means that the restaurant can store that amount of grease in the tank.

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Step-by-step explanation:

All you need to do here is use the area of a circle equation!

So a=pi(r)^2

A=pi(7)^2
A=pi49

Area would be 49pi or about 153.938 feet^2. Hope this helps!

Answer:

The rug will cover

Step-by-step explanation:

To graph the function f(x) = 2sin(x)-2, we can start by plotting the y-intercept (0, -2).

Next, we can use the amplitude of 2 to mark the highest and lowest points of the graph. The highest point will be 2 units above the midline at y = 0, and the lowest point will be 2 units below the midline at y = -4.

To establish the period of the function, we need to identify the distance between one complete cycle of the graph. Since sine has a period of 2pi, we can see that the period of our function is also 2pi.

Starting from the y-intercept, we can mark a point on the graph that is one-quarter of the way through a cycle, at x = pi/2. The sine function will be at its maximum value of 1 at this point, so the graph will be at y = 0 + 2

Answer: The answer is 90!

Step-by-step explanation:

A triangle's sides have to equal 180 degrees. The other two angles measure 45 degrees + 45 degrees, which equals 90. Now all you have to do is subtract 90 from 180. This equals 90, so the answer is 90 degrees.

Whenever you do problems like this in the future, remember these steps:

Angle 1 + Angle 2

180 - Combination of Angles 1 and 2 = Answer

The reason that you subtract from 180 degrees is because a straight angle is always 180 degrees. If you need more help with problems like these, I recommend watching some tutorials!

I hope this helped you!

a) Note that the distribution of piles would be:

Person A gets Pile 5

Person B gets Pile 1

Person A gets Pile 3

Person B gets Pile 4

Person A gets Pile 2.

b) No, in this situation each person did not get their fair share.

If the taking turns procedure is such that Person A chooses first and then they alternate turns, then the following would be the distribution of piles:

So the distribution of piles would be:

b) No, in this situation each person did not get their fair share if the criterion for fairness is defined as each person receiving an equal share of the piles.

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Full Question:

Although part of your question is missing, you might be referring to this full question: See attached image.

To get from 1.098 to 1,098,000, Brian would need to multiply by 1,000,000 that is 10 raised to the power 6.

Powers of 10 are used in scientific notation to indicate extremely big or extremely tiny quantities. A number is written as the result of a coefficient (a number between 1 and 10) and a power of 10 when it is expressed in scientific notation. The number represented by the power of 10 is the distance the decimal point must be moved to convert a number to standard form (i.e., a number without exponents).

To get from 1.098 to 1,098,000, Brian would need to multiply by 1,000,000 that is 10 raised to 6.

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AD = 23.2 (opposite side of parallelogram are equal) and ∠D = ∠B = 188 (opposite angles are equal).

Parallelograms' characteristics

From the properties of parallelogram:

AD = BC (opposite side of parallelogram are equal)

x + 21 = 12x - 1

12x - 2x = 21 + 1

10x = 22

x = 2.2

AD = x + 21 = 2.2 + 21 = 23.2

Now,

∠A + ∠D = 180° (co interior angles are supplementary)

y - 9 + y/2 = 180

2y - 18 + y = 360

y = 360 + 18

y = 378

∠D = y/2 = 378/2 = 188

∠D = ∠B = 188 (opposite angles are equal).

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Answer:

i hope this is what you are looking for

The population is all registered voters in Ohio, and the sample is the 50 registered voters from each county in Ohio that were randomly selected

In this case, the population refers to all registered voters in Ohio, as they are the total group being studied. The sample is the subset of the population that is being evaluated to represent the entire population. In this question, the sample is the 50 registered voters from each county in Ohio that were randomly selected for the public opinion poll.

This scenario is an example of statistical sampling, a technique used in statistics to analyze a subset of a population and extrapolate insights or findings to the entire population.

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By multiplication, 500 times 500 is 250,000 using distributive property.

Multiplication is an arithmetic operation that combines two or more quantities into a single quantity. The result of multiplication is called the product. Multiplication is usually represented by the symbol "×" or "*".

For example, the product of 3 and 4 is 12, which is written as 3 × 4 = 12 or 3 * 4 = 12. In general, to multiply two numbers a and b, we write a × b or a * b, and the result is the product of the two numbers.

Multiplication is also distributive over addition, which means that a × (b + c) = (a × b) + (a × c) for any values of a, b, and c.

We are given :

500 × 500

Using distributive property

500 × 500 = 5 × 100 × 5 × 100  

                   = (5 × 5) × (100  × 100)

                   = (25) × (10000)

                   = 250,000

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Answer:

y = 2x + 11

Explanation:

N/A

Using probability distribution, we can distribute the cottages as the follows along the road.

An experiment's potential outcomes are broken down into a probability distribution, which indicates the relative possibility of each one happening. For the purpose of describing a probability distribution, there are two key functions.

They are the cumulative distribution function and the probability density function, sometimes known as the probability mass function.

As the distance between each cottage and its neighbour is 1, 2, 3, 4, ... 25, or 26 miles, the entire length of the road that these distances occupy must equal 27 miles. The road links the six cottages, which explains why.

The cottages 1and 2 are separated by a mile, according to one conceivable distribution.

Similarly,

Two miles separate cottages 3 and 4.

Three miles separate cottages 5 and 6.

There are 4 miles between Cottages 1 and 3.

There are 5 miles between cottages 2 and 4.

There are 6 miles between cottages 3 and 5.

There are 7 miles between cottages 4 and 6.

Twenty-five miles separate cottages 1 and 6.

There are 26 miles between cottages 2 and 5.

By flipping the order of the cottage distances, a second potential distribution can be created. Which is:

There are 26 miles between cottages 2 and 5.

Twenty-five miles separate cottages 1 and 6.

There are 7 miles between cottages 4 and 6.

There are 6 miles between cottages 3 and 5.

There are 5 miles between cottages 2 and 4.

There are 4 miles between Cottages 1 and 3.

Three miles separate cottages 5 and 6.

Two miles separate cottages 3 and 4.

Two cottages 1 and 2 are one mile apart.

These two show that there are numerous ways to arrange the distances between the cottages while still adhering to the requirement that the distances must add to 27 miles, while there may be other alternative distributions.

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These two demonstrate that there are a variety of distributions for the distances between the cottages that still adhere to the requirement that the distances sum up to 27 miles.

The probability distribution of the possible results of an experiment shows the relative likelihood of each one occurring. There are two essential functions for defining a probability distribution.

They are the probability density function, also called the probability mass function, and the cumulative distribution function.

The total length of the road that these distances fill must be 27 miles because the distance between each cottage and its neighbor is 1, 2, 3, 4,... 25, or 26 miles. The six houses are connected by a road, which explains why.

According to one possible distribution, the distance between cottages 1 and 2 is one mile.

Similarly,

Cottages 3 and 4 are separated by two kilometers.

Cottages 5 and 6 are separated by three kilometers.

The distance between Cottages 1 and 3 is 4 kilometers.

The distance between houses 2 and 4 is 5 miles.

The distance between cottages 3 and 5 is six kilometers.

The distance between cottages 4 and 6 is seven kilometers.

The distance between houses 1 and 6 is 25 miles.

The distance between houses 2 and 5 is 26 miles.

It is possible to generate a second potential distribution by flipping the order of the cottage distances. That is:

The distance between houses 2 and 5 is 26 miles.

The distance between houses 1 and 6 is 25 miles.

The distance between cottages 4 and 6 is seven kilometers.

The distance between cottages 3 and 5 is six kilometers.

The distance between houses 2 and 4 is 5 miles.

The distance between Cottages 1 and 3 is 4 kilometers.

Cottages 5 and 6 are separated by three kilometers.

Cottages 3 and 4 are separated by two kilometers.

Two cottages 1 and 2 are one mile apart.

These two demonstrate that there are a variety of distributions for the distances between the cottages that still adhere to the requirement that the distances sum up to 27 miles.

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Answer:

Toss the coins more than 20 times.

Step-by-step explanation:

Toss the coins more than 20 times. The experimental probability gets closer to the theoretical probability when the sample size is larger.

The volume of the first cylinder is 75.4 cubic inches and that of the second is 113.1 cubic inches.

Two parallel circular bases joined by a curving lateral surface make up the three-dimensional geometric object known as a cylinder. The area of one of a cylinder's circular bases is multiplied by one of its heights to determine the cylinder's volume. In other words, V = πr²h, where V is the cylinder's volume, r is the circumference of one of its circular bases, and h is the cylinder's height.

The volume of the cylinder is given as:

V = πr²h

First cylinder with h = 1.5 inches and r = 4 inches, the volume is:

V = π(4²)(1.5)

V = 24π

V ≈ 75.4 cubic inches

For h = 4 inches and r = 3 inches, the volume is:

V = π(3²)(4)

V = 36π

V ≈ 113.1 cubic inches

Hence, the volume of the first cylinder is 75.4 cubic inches and that of the second is 113.1 cubic inches.

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The volume of the first cylinder is 75.4 cubic inches and that of the second is 113.1 cubic inches.

Two parallel circular bases joined by a curving lateral surface make up the three-dimensional geometric object known as a cylinder. The area of one of a cylinder's circular bases is multiplied by one of its heights to determine the cylinder's volume. In other words, V = πr²h, where V is the cylinder's volume, r is the circumference of one of its circular bases, and h is the cylinder's height.

The volume of the cylinder is given as:

[tex]V = \pi r^2h[/tex]

First cylinder with h = 1.5 inches and r = 4 inches, the volume is:

[tex]V = \pi (4^2)(1.5)[/tex]

V = 24π

V ≈ 75.4 cubic inches

For h = 4 inches and r = 3 inches, the volume is:

[tex]V = \pi (3^2)(4)[/tex]

[tex]V = 36\pi[/tex]

V ≈ 113.1 cubic inches

Hence, the volume of the first cylinder is 75.4 cubic inches and that of the second is 113.1 cubic inches.

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The probability that the component survives 200 hours is approximately 0.9802. The probability that a component, which is functioning after 200 hours, is still functioning after 400 hours, is approximately 0.8703.

What is probability?

Probability is a numerical representation of the likelihood or chance of a specific event occurring. It is typically expressed as a value between 0 and 1, with 0 indicating that the event is impossible and 1 indicating that the event is certain to occur.

To determine the probability that the component survives 200 hours, we need to calculate the survival function, which is the probability that the component lasts longer than 200 hours. We can use the formula:

[tex]$$ S(t) = e^{-\int_0^t z(u) du} $$[/tex]

where [tex]$S(t)$[/tex] is the survival function and [tex]$\int_0^t z(u) du$[/tex] is the integral of the failure rate from 0 to [tex]$t$[/tex].

In this case, the failure rate is [tex]$z(t) = 2.0\times10^{-6}t/\text{hour}$[/tex] for [tex]$t > 0$[/tex]. Integrating this from 0 to 200 gives:

[tex]$$ \int_0^{200} z(t) dt = \int_0^{200} (2.0\times10^{-6}t) dt =[/tex] [tex]\left[\frac{(2.0\times10^{-6})}{2}t^2\right]_0^{200} = 0.02 $$[/tex]

Substituting this into the survival function formula gives:

[tex]$$ S(200) = e^{-\int_0^{200} z(t) dt} = e^{-0.02} \approx 0.9802 $$[/tex]

Therefore, the probability that the component survives 200 hours is approximately 0.9802.

To determine the probability that a component, which is functioning after 200 hours, is still functioning after 400 hours, we need to use the conditional probability formula:

[tex]$ P(T > 400|T > 200) = \frac{P(T > 400 \cap T > 200)}{P(T > 200)} $$[/tex]

We can calculate the numerator using the survival function:

[tex]$ P(T > 400 \cap T > 200) = S(400) $$[/tex]

To find [tex]$S(400)$[/tex], we need to integrate the failure rate from 0 to 400:

[tex]$$ \int_0^{400} z(t) dt = \int_0^{400} (2.0\times10^{-6}t) dt = \left[\frac{(2.0\times10^{-6})}{2}t^2\right]_0^{400} = 0.16 $$[/tex]

Substituting this into the survival function formula gives:

[tex]$$ S(400) = e^{-\int_0^{400} z(t) dt} = e^{-0.16} \approx 0.8534 $$[/tex]

To find the denominator, we can use the survival function we found earlier:

[tex]$ P(T > 200) = S(200) = e^{-0.02} \approx 0.9802 $$[/tex]

Substituting these values into the conditional probability formula gives:

[tex]$ P(T > 400|T > 200) = \frac{S(400)}{S(200)} \approx \frac{0.8534}{0.9802} \approx 0.8703 $$[/tex]

Therefore, the probability that a component, which is functioning after 200 hours, is still functioning after 400 hours, is approximately 0.8703.

1) The probability that the component survives 200 hours is approximately 0.9802.

2) The probability that a component, which is functioning after 200 hours, is still functioning after 400 hours, is approximately 0.8703.

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Complete question:

1. A component with time to failure [tex]$\mathbf{T}$[/tex]  has failure rate[tex]$z(t)=2.0*10^{-6}$[/tex]t/hour for [tex]$t \ge 0$[/tex]

1) Determine the probability that the component survives 200 hours

2) Determine the probability that a component, which is functioning after 200 hours, is still functioning after 400 hours Note that the failure rate in this problem is not constant, but a function of time [tex]${\mathbf{}}t$[/tex].

2. Consider a computer system called [tex]$3\mathrm{P2M}$[/tex]  in the following figure. The system consists of three processors and two shared memories communicating over a shared bus, as shown in the following Figure. The [tex]$3\mathrm{P2M}$[/tex] system is operational as long as at least two processors can communicate with at least one of the two memories over the bus. a) Construct the fault tree model of this system b) Find all the minimal cut sets c) Assume all the components fail exponentially with the following failure rates: processors (P1, P2, P3): 0.0001/hour; memories (M1, M2): 0.0001/hour; bus: 0.000001 /hour. Find the system reliability at mission time [tex]$t=100$[/tex] hours.