Use the Fundamental Theorem of Calculus to evaluate (if it exists)∫827x+3dx.

The statement that 'describes a molecule in comparison to the atom and macromolecule' is that a molecule is larger than an atom but smaller than a macromolecule.

A molecule is a group of two or more atoms held together by chemical bonds.

Compared to an atom,

That is the basic unit of a chemical element consisting of a nucleus, electrons, and possibly other subatomic particles.

A molecule is a larger particle.

A macromolecule is a very large molecule, such as a protein or nucleic acid.

That is made up of smaller units called monomers.

So, a macromolecule is a type of molecule, but it is specifically a very large one made up of smaller subunits.

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The above question is incomplete, the complete question is:

Which statement describes the molecule in comparison to the atom and macromolecule?

The volume of the solid of revolution created by rotating the function f(x) = x^2 about the x-axis between x=0 and x=2 is approximately 20.106 cubic units.

The axis of revolution is a line about which a two-dimensional shape is rotated to create a three-dimensional solid. The method for finding the formula to solve for the volume of a solid of revolution depends on the shape being rotated and the axis of revolution.

For example, if we want to find the volume of a solid of revolution created by rotating a function f(x) about the x-axis between the limits of integration a and b, we can use the following formula:

V = π∫[a,b] (f(x))^2 dx

This formula is derived from the shell method, which involves breaking the solid into thin cylindrical shells, finding the volume of each shell, and adding them up. The formula is then the integral of the volume of each shell.

To solve this integral, we can use various methods such as integration by substitution or integration by parts. Once we have found the antiderivative of the integrand, we can evaluate the definite integral using the limits of integration a and b.

For example, if we have the function f(x) = x^2 and we want to find the volume of the solid of revolution created by rotating this function about the x-axis between x=0 and x=2, we can use the formula:

V = π∫[0,2] (x^2)^2 dx

Simplifying this expression, we get:

V = π∫[0,2] x^4 dx

Integrating this expression with respect to x, we get:

V = π[(1/5)x^5] [0,2]

Evaluating this expression at the limits of integration, we get:

V = π[(1/5)(2^5 - 0)]

V = π(32/5)

Therefore, the volume of the solid of revolution created by rotating the function f(x) = x^2 about the x-axis between x=0 and x=2 is approximately 20.106 cubic units.

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The value of p is approximately 0.3609.

In a multinomial distribution, the probability of k successes out of n trials, each with a probability of success p, is given by the probability mass function:

P(k_1,k_2,...,k_r) = n! / (k_1! * k_2! * ... * k_r!) * p_1^(k_1) * p_2^(k_2) * ... * p_r^(k_r)

where k_1 + k_2 + ... + k_r = n and p_1 + p_2 + ... + p_r = 1.

In this case, we know that the probability of getting 5 successes out of 10 trials is 0.2007. Let's assume that there are two possible outcomes (r=2), success (S) or failure (F), and let p be the probability of success in a single trial.

Then, the probability of getting 5 successes out of 10 trials is:

P(5S, 5F) = 10! / (5! * 5!) * p^5 * (1-p)^5 = 0.2007

Simplifying, we get:

252 * p^5 * (1-p)^5 = 0.2007

Taking the fifth root of both sides, we get:

p * (1-p) = 0.9009^(1/5)

Solving for p, we get:

p = 0.5 ± 0.1391

Since p cannot be negative, the solution is:

p = 0.5 - 0.1391 = 0.3609

Therefore, the value of p is approximately 0.3609.

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On solving the provided question ,we can say that It is independent in the sense that the other research variable has no bearing on it.

A sequence is a grouping of "terms," or integers. Term examples are 2, 5, and 8. Some sequences can be extended indefinitely by taking advantage of a specific pattern that they exhibit. Use the sequence 2, 5, 8, and then add 3 to make it longer. Formulas exist that show where to seek for words in a sequence. A sequence (or event) in mathematics is a group of things that are arranged in some way. In that it has components (also known as elements or words), it is similar to a set. The length of the sequence is the set of all, possibly infinite, ordered items. the action of arranging two or more things in a sensible sequence.

a) Individual.

A primary effect in a factorial design is the independent impact of one of the factors while maintaining the other component constant on the outcome factor. It is independent in the sense that the other research variable has no bearing on it.

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a) independent.

In a factorial design, a main effect refers to the impact of one independent variable on the dependent variable, while ignoring the other independent variable.

What are the factors?

what are factorsIn mathematics, a factor is a number that divides another number without leaving a remainder. For example, the factors of 12 are 1, 2, 3, 4, 6, and 12, because these numbers divide 12 without leaving a remainder.

In experimental design, a factorial design is a commonly used method where two or more independent variables are manipulated simultaneously to observe their effects on the dependent variable. The main effect in a factorial design refers to the effect of one independent variable on the dependent variable while holding the other independent variable constant.

For example, if an experiment has two independent variables, such as temperature and humidity, then the main effect of temperature is the impact of temperature on the dependent variable (e.g., plant growth) while keeping humidity constant. Similarly, the main effect of humidity is the impact of humidity on the dependent variable while keeping temperature constant.

a) independent.

In a factorial design, a main effect refers to the impact of one independent variable on the dependent variable, while ignoring the other independent variable.

Therefore, the main effect is independent of the other independent variable.

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The critical point is  (B/12, 1/12) and  f(x,y) has a saddle point at (B/12, 1/12).

To find the critical points of f(x,y), we need to find where the partial derivatives with respect to x and y are both zero:

∂f/∂x = 1 - 12y = 0

∂f/∂y = -12x + B = 0

From the first equation, we have y = 1/12.

Substituting into the second equation, we get:

-12x + B = 0

⇒ x = B/12

So the critical point of f(x,y) is (B/12, 1/12).

To find the relative extrema and saddle points, we need to use the second partial derivative test. We have:

∂²f/∂x² = 0 (constant)

∂²f/∂y² = 0 (constant)

∂²f/∂x∂y = -12 (constant)

At the critical point (B/12, 1/12), the determinant of the Hessian matrix is:

∂²f/∂x²× ∂²f/∂y² - (∂²f/∂x∂y)² = 0× 0 - (-12)² = 144

Hence, the determinant is positive and ∂²f/∂x² is zero, we can conclude that f(x,y) has a saddle point at (B/12, 1/12).

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The angle measures of the triangles before and after dilation are the same

Given that, we have a triangle that is dilated to form another triangle by a scale factor of n

The dilation transformation is a rigid transformation

This means that it changes the size of a shape after it is applied

However, the shape and the image would be similar shapes and as such would have their angles unchanged

This means that irrespective of the value of the scale factor n, the angle measures would remain the same

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On simplification of 15 - 3(8 - 6)², we get 3. Thus, the correct answer is A

For simplification, we follow the rule of BODMAS. This rule states that one solves the equation in the following order: Brackets, Exponents or Order, Division, Multiplication, Addition, and Subtraction in order to get the right answer.

According to this rule, we first solve the Brackets

Therefore, 15 - 3(8 - 6)²

Then we solve the exponents and we get

= 15 - 3(2)²

Then we solve the multiplication operation in the equation

= 15 - 3(4)

Lastly, we solve the subtraction operation

= 15 - 12

= 3

Thus, we get 3 as the final answer after solving this equation.

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For the function defined as a definite integral, F(x) = x∫0 t cot(t) dt,

a) F'(x) = -ln(x) - (1/2)x²ln(x) + C

b) d/dx [[tex]x^5[/tex]∫x³ t cot(t) dt] = 3[tex]x^4[/tex]cot(x³) - 5x³∫cot(x³)dx + ∫x³cot(x³)dx.

(a) To find F'(x), we need to differentiate F(x) with respect to x using the Fundamental Theorem of Calculus. We have:

F(x) = x∫0 t cot(t) dt

F'(x) = d/dx [x∫0 t cot(t) dt]

= ∫0 t cot(t) dt + x(d/dx ∫0 t cot(t) dt) (using the product rule)

= ∫0 t cot(t) dt + x[cot(t)(d/dx t)]∣0

= ∫0 t cot(t) dt + x[cot(t)]∣0

= ∫0 t cot(t) dt + x cos(0)/sin(0)

= ∫0 t cot(t) dt + x

Therefore, F'(x) = ∫0 t cot(t) dt + x.

(b) Let G(x) = [tex]x^5[/tex]∫x³ t cot(t) dt. Using the product rule and the Fundamental Theorem of Calculus, we have:

G'(x) = d/dx [[tex]x^5[/tex]∫x³ t cot(t) dt]

= ∫x³ t cot(t) dt + [tex]x^5[/tex](d/dx ∫x³ t cot(t) dt)

= ∫x³ t cot(t) dt + [tex]x^5[/tex][t cot(t)]∣x³

= ∫x³ t cot(t) dt + [tex]x^8[/tex] cot(x³)

Therefore, d/dx [[tex]x^5[/tex]∫x³ t cot(t) dt] = ∫x³ t cot(t) dt + [tex]x^8[/tex] cot(x³).

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The regression equation y = 2.33476556 + 0.39047264x on your TI-84 calculator to predict the stock price based on the prime interest rate. Keep in mind that this is just a prediction and real-world factors may lead to different results.

The TI-84 calculator provides a linear regression model for predicting the price of a certain stock (y) based on the prime interest rate in per cent (x). The least squares regression line equation is given by:

y = a + bx

In this case, the values of 'a' and 'b' have been calculated as:

a = 2.33476556
b = 0.39047264

So, the regression equation becomes:

y = 2.33476556 + 0.39047264x

The coefficient of determination, r^2, is given as 0.4537931265, which indicates that about 45.38% of the variation in the stock price can be explained by the prime interest rate.

The correlation coefficient, r, is 0.67364169. Since this value is positive, it shows a positive relationship between the prime interest rate and the stock price. In other words, as the prime interest rate increases, the stock price is likely to increase as well.

In summary, you can use the regression equation y = 2.33476556 + 0.39047264x on your TI-84 calculator to predict the stock price based on the prime interest rate. Keep in mind that this is just a prediction and real-world factors may lead to different results.

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The five-number summary of the data include the following:

In Mathematics and Statistics, a box plot is sometimes referred to as box-and-whisker plot and it can be defined as a type of chart that can be used to graphically or visually represent the five-number summary of a data set with respect to locality, skewness, and spread.

Based on the information provided about the data set, the five-number summary for the given data set include the following:

Minimum (Min) = 36.

First quartile (Q₁) = 38.

Median (Med) = 44.

Third quartile (Q₃) = 50.

Maximum (Max) = 60.

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The statement that 'When data with a bell-shaped distribution is standardized, the result will have a standard deviation of 1. However, when data with a wider-spread, bimodal distribution is standardized, the result will tend to have a standard deviation larger than 1' is false.

Standardizing data involves transforming it into a distribution with a mean of 0 and a standard deviation of 1. This is done by subtracting the mean of the original data from each data point and then dividing by the original standard deviation. This process is called z-score calculation.

When data has a bell-shaped distribution, the result of standardization will have a standard deviation of 1, as this is the main goal of standardization. However, when data has a wider-spread, bimodal distribution, the standard deviation of the standardized data will still be 1 after the transformation.

The standardization process ensures that the shape of the original distribution is maintained while changing the mean and standard deviation to the desired values, so regardless of whether the distribution is bell-shaped, bimodal, or any other shape, the standardized data will have a standard deviation of 1.

Hence, the statement is false.

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The distance in meters that was traveled is given as 300 meters

Acceleration = 60 / 40

= 3 / 2

When the velocity that we have in the graph is 30 m/s the time in seconds is twenty seconds

We have to use the formula s = 1 / 2 a t ^2

= 1 / 2 x 3 / 2 x 20^2

= 1200 / 4

= 300 meters

Hence the train traveled for a distance of 300 meters

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The length of the diagonal pathway in feet is 8.33. The solution has been obtained by using the Pythagoras theorem.

What is Pythagoras theorem?

Pythagoras' Theorem states that the square of a right-angled triangle's hypotenuse side is equal to the sum of the squares of its other two sides.

We are given that the dimensions of the rectangle are 60‘ x 80‘.

This means that the perpendicular is 60 inches and base is 80 inches.

Let the diagonal pathway be 'H'.

So, using the Pythagoras theorem, we get

⇒ [tex]60^{2}[/tex] + [tex]80^{2}[/tex] = [tex]H^{2}[/tex]

⇒ 3600 + 6400 = [tex]H^{2}[/tex]

⇒ 10000 = [tex]H^{2}[/tex]

⇒ H = 100 inches

We know that 1 foot = 12 inches.

So,

100 inches = 8.33 feet

Hence, the length of the diagonal pathway in feet is 8.33.

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The probability that a randomly selected lemur has a tail shorter than 1.7 feet is 0.106. Option E

To solve this problem, we need to standardize the given value of 1.7 feet using the formula:
z = (x - μ) / σ
where x is the given value, μ is the mean, and σ is the standard deviation.
Substituting the values, we get:
z = (1.7 - 1.95) / 0.2
z = -1.25
Now, we need to find the probability of a randomly selected lemur having a tail shorter than 1.7 feet, which is equivalent to finding the area under the standard normal curve to the left of z = -1.25.
Using a standard normal distribution table or calculator, we can find this probability to be approximately 0.106.
Therefore, the answer is option E: 0.106.

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Answer:

True, there is a y-intercept at (0,2)

The transitions between the states are determined by the probabilities of a cell duplicating or causing half of the cells to die.

Probability plays a significant role in modeling the behavior of bacterial cells in a petri dish.

To start, assume that each bacterial cell in the petri dish gets activated every three minutes on average, which means that the time between activations is exponentially distributed with a rate of 1/3.

Now, let's focus on the number of cells alive in the petri dish. To simplify the presentation, we can assume that the number of cells alive is a power of 2, and we can use the binary logarithm to represent it.

We can construct a continuous time Markov chain to model the behavior of the number of cells alive. The states of the Markov chain correspond to different values of the binary logarithm of the number of cells alive.

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Complete Question:

Assume that bacterial cells in a petri dish abide to the following rules. As long as they are alive, each cell gets activated in average every 3 minutes.

• When a cell activates two possibilities occur:

- With probability all bacteria in the petri dish gets duplicated.

- With probability, when there are at least 2 cells, half of the cells in the petri dish die, whereas when there is only one, nothing happens.

• There is initially one cell.

(a) Assuming that all activation times are independent and memoryless, give a continuous time Markov chain modelling the number of cells alive. To simplify the presentation, after justifying it, you may find useful to assume that the latter number is a power of 2, and to focus on its binary logarithm.

The sample mean provides the most accurate estimate of the population variance for this particular dataset, as it is calculated directly from the data.

Using the definitional formula and the sample mean for Data Set A:

First, find the sample mean:

[tex]$\bar{x} = \frac{\sum_{i=1}^{n}x_i}{n} = \frac{223}{14} = 15.93$[/tex]

Next, find the variance:

[tex]$s^2 = \frac{\sum_{i=1}^{n}(x_i - \bar{x})^2}{n} = \frac{199.71}{14} \approx 14.26$[/tex]

Using the definitional formula and a mean score of 15:

[tex]$s^2 = \frac{\sum_{i=1}^{n}(x_i - 15)^2}{n} = \frac{210.93}{14} \approx 15.06$[/tex]

Using the definitional formula and a mean score of 16:

[tex]$s^2 = \frac{\sum_{i=1}^{n}(x_i - 16)^2}{n} = \frac{249.29}{14} \approx 17.81$[/tex]

the results, we can see that the choice of mean score has a significant impact on the variance estimate.

As the mean score increases, the variance estimate also increases. This is because when we use a higher mean score, the deviations from the mean also increase.

This is because when we use a higher mean score, the deviations from the mean also increase.

The sample mean provides the most accurate estimate of the population variance for this particular dataset, as it is calculated directly from the data.

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The table is completed as follows:

Velocity is given by the change in the distance divided by the change in the time, hence the following equation is built to model the relationship between these three variables:

v = d/t.

The velocity for this problem is of 54 miles per hour, hence the distance equation is given as follows:

d = 54t.

For each time, the distances are given as follows:

The time is given as follows:

t = d/54.

For each distance, the times are given as follows:

The table is given by the image presented at the end of the answer.

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The predicted value for the top speed of an aircraft if its weight is 100 tons = 359.4679 mph.

There is convincing evidence of a relationship between weight and top speed, assuming the conditions for inference have been met

We are 95% confident that the true slope of the regression line is between 2.871 and 4.085.

Part A)

Independent variable: X: Weight

Response variable: Y: Top speed of an aircraft.

Slope = b = 3.47812

Y-intercept = a = 11.6559

LSRL based on analysis is,

[tex]\hat{Top\ speed}=11.6559+3.47812\ Weight[/tex]

Part B):

Here, p≤ 0.0001 indicates that there linear relationship between two variables. Therefore, we can use LSRL to predict top speed.

Given: Weight = x = 100 tons.

Therefore,

[tex]\hat{Top\ speed}=11.6559+3.47812*100[/tex]

[tex]\hat{Top\ speed}=359.4679\ mph[/tex]

Hence, the predicted value for the top speed of an aircraft if its weight is 100 tons = 359.4679 mph.

Part B:

Conditions for inference:

Linearity: The relationship between weight and top speed is linear.

Independence: The aircrafts' weights and top speeds are independent observations.

Normality: The residuals have a normal distribution.

Equal variance: The residuals have constant variance.

Part C:

To calculate the 95% confidence interval for the slope, we use the formula: slope ± t_critical * s.e. of Coeff.

With 20 degrees of freedom, the t_critical value is approximately 2.086. So, the 95% CI for the slope is: 3.47812 ± (2.086 * 0.294) = (2.871, 4.085).

This means we are 95% confident that the true slope of the regression line is between 2.871 and 4.085.

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Answer:

A

Step-by-step explanation:

I am positive that the answer is A) □♡ based on the pattern observed in the given sequence. The symbol □ represents the tens digit and ♡ represents the units digit, and since the previous number in the sequence had ♡ as both digits, the next number should have □ as both digits. Therefore, the next number in the sequence would be □♡, which is a two-digit number where the tens digit is one less than the units digit.

B) □□: This option cannot be the next number in the sequence because it represents a two-digit number where both digits are equal, but the previous number in the sequence had ♡ as both digits. Therefore, the next number should have □ as both digits.

C) ♡♡: This option cannot be the next number in the sequence because it represents a two-digit number where both digits are equal, but the previous number in the sequence had ♡ as both digits. Therefore, the next number should have □ as both digits.

D) ♢□: This option cannot be the next number in the sequence because it represents a two-digit number where the tens digit is greater than the units digit, but the previous numbers in the sequence had the units digit greater than the tens digit. Therefore, the next number should have the tens digit one less than the units digit.

E) ♡♢: This option cannot be the next number in the sequence because it represents a two-digit number where the tens digit is less than the units digit, but the previous numbers in the sequence had the units digit greater than the tens digit. Therefore, the next number should have the tens digit one less than the units digit.

Answer:

Step-by-step explanation:

Because the first digit changes in the first 2 numbers, we can assume that the first number is at the end of a count: like 19, 29, 39...  

So the numbers will be 19,20, 21     or 29, 30 31 etc.

But we know that the last number's second digit is the same as the first number's first first digit, therefore, the square is 1

So the numbers are 19, 20, 21

So the heart will be the first digit of the of the next number, it has to be the 3rd or 5th answer. but we know the next number is 22 so it's the double heart which is the 3rd answer.

Heart heart is answer.

The properties of these angle relationships is Alternate Interior Angles. (option c).

One of the most important angle relationships formed by a transversal intersecting two parallel lines is the formation of vertical angles.

Consecutive interior angles, on the other hand, are pairs of angles that are on the same side of the transversal and inside the two parallel lines. They are also known as same-side interior angles.

According to the Consecutive interior angles add up to 180 degrees and are supplementary.

Similarly, alternate exterior angles are pairs of angles that are on opposite sides of the transversal and outside the two parallel lines. These angles are congruent and form a linear pair. Corresponding angles are pairs of angles that are in the same position relative to the transversal and the parallel lines. Corresponding angles are congruent, and hence form a linear pair.

Hence the correct option is (c).

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The ordered pair that is 6 vertical units away from (3,1) is given as follows:

(3,7).

The general format of an ordered pair is given as follows:

(x,y).

In which the coordinates are given as follows:

The ordered pair for this problem is given as follows:

(3,1).

The pairs that are six vertical units away are given as follows:

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About 92.36% of the population is less than 45 in a normal population with a mean of 35 and a standard deviation of 7.

To find the proportion of the population with a mean (µ) of 35 and a standard deviation (σ) of 7 that is less than 45, follow these steps:

1. Convert the raw score (45) to a z-score using the z-score formula:
  z = (X - µ) / σ
  where X is the raw score (45), µ is the mean (35), and σ is the standard deviation (7).

2. Calculate the z-score:
  z = (45 - 35) / 7
  z ≈ 1.43

3. Use a z-table or calculator to find the proportion of the population corresponding to a z-score of 1.43. The z-table or calculator will provide the area under the curve to the left of the z-score, which represents the proportion of the population that is less than the raw score of 45.

4. The z-table or calculator shows a proportion of approximately 0.9236 for a z-score of 1.43.

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This company is making a profit of $26,508 per month. The first step in determining if a company is making a profit is to calculate its total revenue.

Total revenue is the total income earned by a business from the sale of goods and services over a given period of time.

Total revenue for this company is calculated by multiplying the number of units sold by the unit price, which is

900 units x $49.99 = $44,991.

The next step is to calculate the total cost. The total cost includes both variable costs (the cost of producing each unit) and fixed costs (costs that remain the same regardless of output).

The variable cost for this company is

$18.12 x 900 units = $16,308.

The fixed cost is $2,175. Adding these two together gives us $18,483.

The final step is to calculate the company's profit. Profit is calculated by subtracting total costs from total revenue: $44,991 - $18,483 = $26,508.

Therefore, this company is making a profit of $26,508 per month.

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Question:

A company sells 900 units/month at $49.99 each, with an $18.12 per-unit cost and $2,175 monthly fixed cost. Is this company making a profit?

The length of minor arc AB is approximately 4.19 inches.

The distance that separates a circular arc's two endpoints along its curve is referred to as its "length of arc" in geometry. It is the piece of the perimeter of a circle that is captured by the curve.

The length of a minor arc AB of a circle is given by the formula:

length of minor arc AB = [tex](\frac{central angle}{360})[/tex] × 2πr

where r is the radius of the circle P.

In this problem, the radius of circle P is 6 inches and the central angle intercepting minor arc AB is 40°.
Therefore, substitute these values into the formula:

length of minor arc AB =  [tex]\frac{40}{360}[/tex]  × 2π(6)

length of minor arc AB =  [tex]\frac{1}{9}[/tex]  × 12π

length of minor arc AB = [tex]\frac{4\pi }{3}[/tex]

length of minor arc AB ≈ 4.19 inches

Therefore, the length of minor arc AB is approximately 4.19 inches.

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Answer:

[tex]m\angle V = 156\textdegree[/tex]

Step-by-step explanation:

First, we can solve for x using the fact that opposite interior angles of a parallelogram are congruent (and therefore their measures are equal).

m∠Y = m∠W

↓ plugging in the given values

10x - 27 = 2x + 29

↓ subtracting 2x from both sides

8x - 27 = 29

↓ adding 27 to both sides

8x = 29 + 27

↓ simplifying

8x = 56

↓ divide both sides by 8

x = 7

Now, we can find the m∠Y:

m∠Y = (10x - 27)°

m∠Y = 10(7)° - 27°

m∠Y = 70° - 27°

m∠Y = 42°

m∠W = m∠Y = 42°

Using m∠Y and m∠W, we can solve for m∠V and m∠X because we know that they are also congruent.

[tex]m\angle V = \dfrac{360\textdegree - 2(42\textdegree)}{2}[/tex]

[tex]m\angle V = \left(\dfrac{312}{2}\right)\textdegree[/tex]

[tex]\boxed{m\angle V = 156\textdegree}[/tex]

Answer:

C is the correct answer

It can be easily verified that the CDF F(x) derived above satisfies all these properties, and hence it is a valid CDF.

To find the cumulative distribution function (CDF) of the random variable X, we integrate the probability density function (PDF) g(x) over the range (-∞, x].

For x < 0, P(X ≤ x) = 0 because the range of X is 0 ≤ X ≤ 1.

For 0 ≤ x ≤ 1, we have:

P(X ≤ x) = ∫[0,x] g(t) dt

P(X ≤ x) = ∫[0,x] (2 - t) dt

P(X ≤ x) = [2t - ([tex]t^2[/tex])/2] evaluated from 0 to x

P(X ≤ x) = 2x - [tex]x^2[/tex]/2

For x > 1, P(X ≤ x) = 1 because the range of X is 0 ≤ X ≤ 1.

Therefore, the CDF of the random variable X is:

F(x) = 0 for x < 0

F(x) = 2x - [tex]x^2[/tex]/2 for 0 ≤ x ≤ 1

F(x) = 1 for x > 1

To check that this is a valid CDF, we need to verify that it satisfies the following properties:

F(x) is non-negative for all x.

F(x) is non-decreasing for all x.

F(x) approaches 0 as x approaches negative infinity.

F(x) approaches 1 as x approaches positive infinity.

It can be easily verified that the CDF F(x) derived above satisfies all these properties, and hence it is a valid CDF.

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Full Question ;

If the probability density of a random variable is given by x g(x)= {2-X 0 0 < x <1 1<x<2 elsewhere Compute u and o