What sum of money can be withdrawn from a fund of
$46,950.00 invested at 6.78% compounded semi-annually at the end of
every three months for twelve years?

Answer: x ≅ 0.5, and x ≅ −3.7

Step-by-step explanation:

[tex]4x^2 + 11x - 19 = -2x - 12[/tex]

[tex]4x^2 + 13x - 7 = 0[/tex]

Now use the quadratic formula with a = 4, b = 13, and c = -7

(if you dont know what that is, you should probably search it and understand/memorize).

Using the formula, we get two values:

x ≅ 0.5, and x ≅ −3.7

The original size of the bottle was 13.5 ounces in the given case

Let x be the original size of the bottle in ounces.

In the context of this problem, "original size" refers to the size of the bottle of hand soap before the manufacturer reduced its size

According to the problem, the new size of the bottle is 20% less than the original size, so we can set up the equation:

x - 0.2x = 10.8

Simplifying the left side:

0.8x = 10.8

Dividing both sides by 0.8:

x = 13.5

Therefore, the original size of the bottle was 13.5 ounces.

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The measure of a central angle of a regular polygon with 7 sides is approximately 51.4 degrees.

A polygon is a geometric object with two dimensions and a finite number of sides. A polygon's sides are made up of segments of straight lines that are joined end to end. As a result, a polygon's line segments are referred to as its sides or edges. Vertex or corners refer to the intersection of two line segments, where an angle is created.

To find the measure of a central angle of a regular polygon with 7 sides, we can use the formula:

central angle = 360 degrees/number of sides

Plugging in 7 for the number of sides, we get:

central angle = 360 degrees / 7
central angle ≈ 51.4 degrees

Therefore, the measure of a central angle of a regular polygon with 7 sides is approximately 51.4 degrees.

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The perimeter of the L shape is: AB + BC + CD + AC = x + x + x √2 + x = 2x + x √2

To find the perimeter of the L shape, we need to add up the lengths of all the sides.

Starting from the top left corner, we can label the four vertices of the L shape as A, B, C, and D, as shown in the diagram below.

The length of side AB is simply x, and the length of side BC is also x.

To find the length of side AC, we can use the Pythagorean theorem. Since triangle ABC is a right triangle, we have:

[tex]AC^2 = AB^2 + BC^2[/tex]

[tex]AC^2 = x^2 + x^2\\AC^2 = 2x^2\\\\AC = sqrt(2x^2) = x sqrt(2)\\\\[/tex]

Finally, to find the length of side CD, we can use the fact that it is parallel to AB and has the same length as BC, which is x.

Therefore, the perimeter of the L shape is:

AB + BC + CD + AC = x + x + x √2 + x = 2x + x √2

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What is an expression in terms of x for the greatest perimeter for a shape made of L regular hexagons?

Answer:

Convert 10% to decimal =.10

10/100=.10

Them multiply 754 by .10 and you get $75.40. This is the amount that will be subtracted from the full price to get your sales price.
now you have

$754.00-$75.40=$678.60

$678.60 is the sale price.

a. Rounded to the nearest mile, the distance from New York City to Los Angeles is 2556 miles.
b. Rounded to one decimal place, we can expect to use 82.4 gallons of gas driving from New York to Los Angeles.

a. To convert the distance from kilometers to miles, we can use the given unit fraction: 1 mile ≈ 1.6 kilometers. First, set up the conversion using the given distance:

4090 kilometers × (1 mile / 1.6 kilometers)

The kilometers units will cancel out, leaving the result in miles:

4090 / 1.6 ≈ 2556.25 miles

Rounded to the nearest mile, the distance is approximately 2556 miles.

b. To calculate the number of gallons of gas needed, we can use the car's average of 31 miles per gallon. Set up the conversion using the distance in miles:

2556 miles × (1 gallon / 31 miles)

The miles units will cancel out, leaving the result in gallons:

2556 / 31 ≈ 82.5 gallons

Rounded to one decimal place, you can expect to use approximately 82.5 gallons of gas driving from New York to Los Angeles.

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Answer: Surface Area = 7 m * 8.2 m = 57.4 m2

Step-by-step explanation:

Answer:

Page 1

1)

a) - 5x^4+3

Degree: 4

Number of terms: 2

b) 5x² + 30x+25

Degree: 2

Number of Terms: 3

c) 16r^4p

Degree: 4

Number of Terms: 1

d) 9m²n + 12mn +4m -6n+19

Degree:2

Number of Terms:5

Note:

Degree: the highest exponent of the variable x)

Number of terms: It is either a single number or variable, or numbers and variables multiplied together. Terms are separated by + or - signs, or sometimes by divide

Page 2:

Add or subtract the following polynomials.

a) (3p^3+6p^2+14p)+(-5p^3-2p+8p^2

opening bracket

3p^3+6p^2+14p+(-5p^3-2p+8p^2)

3p^3+6p^2+14p-5p^3-2p+8p^2

Combining like terms

-2p^3 +14p^2+12p

b) (7y^3-5y)-(5y-7y^3)

Opening bracket

7y^3-5y-5y+7y^3

Combining like terms

14y^3-10y

c) (6z^4+15-7z^3)+(-2z^4+8z^3-5z^5)

Opening bracket

6z^4+15-7z^3-2z^4+8z^3-5z^5

-5z^5 +4z^4+1z^3+15

d) (-3n²-14n+1)-(-7n+2-6n²)

Opening bracket

-3n²-14n+1+7n-2+6n²

3n²-7n-1

e) (7b^3-14-8b^4) − (−3b^4+7b³ +4)

Opening bracket

7b^3-14-8b^4+3b^4-7b³-4

-5b^4-18

f) (-3n^2-4n+2n⁴) + (3n^2+ 19n-7n^4)

Opening bracket

-3n^2-4n+2n⁴+3n^2+ 19n-7n^4

-5n⁴+15n

Answer:

Page 1

1)

a) - 5x^4+3

Degree: 4

Number of terms: 2

b) 5x² + 30x+25

Degree: 2

Number of Terms: 3

c) 16r^4p

Degree: 4

Number of Terms: 1

d) 9m²n + 12mn +4m -6n+19

Degree:2

Number of Terms:5

Note:

Degree: the highest exponent of the variable x)

Number of terms: It is either a single number or variable, or numbers and variables multiplied together. Terms are separated by + or - signs, or sometimes by divide

Page 2:

Add or subtract the following polynomials.

a) (3p^3+6p^2+14p)+(-5p^3-2p+8p^2

opening bracket

3p^3+6p^2+14p+(-5p^3-2p+8p^2)

3p^3+6p^2+14p-5p^3-2p+8p^2

Combining like terms

-2p^3 +14p^2+12p

b) (7y^3-5y)-(5y-7y^3)

Opening bracket

7y^3-5y-5y+7y^3

Combining like terms

14y^3-10y

c) (6z^4+15-7z^3)+(-2z^4+8z^3-5z^5)

Opening bracket

6z^4+15-7z^3-2z^4+8z^3-5z^5

-5z^5 +4z^4+1z^3+15

d) (-3n²-14n+1)-(-7n+2-6n²)

Opening bracket

-3n²-14n+1+7n-2+6n²

3n²-7n-1

e) (7b^3-14-8b^4) − (−3b^4+7b³ +4)

Opening bracket

7b^3-14-8b^4+3b^4-7b³-4

-5b^4-18

f) (-3n^2-4n+2n⁴) + (3n^2+ 19n-7n^4)

Opening bracket

-3n^2-4n+2n⁴+3n^2+ 19n-7n^4

-5n⁴+15n

Step-by-step explanation:

The actual distance between two cities is 70 miles when 1 inch is equal to 20 miles

Given that Daniel is planning to drive from City X to City Y.

The distance between two cities is [tex]3\frac{1}{2}[/tex] inches

Given that 1 inch = 20 miles

We have to find the actual distance between two cities in miles

[tex]3\frac{1}{2}[/tex]  = 3.5

Now multiply 3.5 with 20 to find distance in miles

3.5×20

70 miles

Hence, the actual distance between two cities is 70 miles when 1 inch is equal to 20 miles

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A minimum sample size of 601 voters is needed to estimate the population proportion of voters who would vote for the incumbent governor with a margin of error of 0.08 or less at a 95% confidence level.

To determine the minimum sample size needed to estimate the population proportion with a margin of error of 0.08 or less at 95% confidence, we need to use a formula called the sample size formula. The formula is as follows:

n = (Z² × p × q) / E

Where n is the sample size, Z is the z-score corresponding to the confidence level (1.96 for 95% confidence level), p is the estimated proportion of voters who would vote for the incumbent governor, q is the complement of p (1-p), and E is the desired margin of error (0.08).

Assuming we do not have any prior information about the proportion of voters who would vote for the incumbent governor, we can use a conservative estimate of 0.5 for p and q. Substituting the values into the formula, we get:

n = (1.96² × 0.5 × 0.5) / 0.08²
n = 600.25

Rounding up to the nearest whole number, we need a minimum sample size of 601 voters to estimate the population proportion with a margin of error of 0.08 or less at 95% confidence.

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C is a square-free number, and we have expressed n as the product of a square-free number and the square of primes in B, as desired:

[tex]n = ab^2[/tex], where a is square-free and b = q1 * q2 * ... * qm.

Let's start by applying the Fundamental Theorem of Arithmetic to any positive integer n. According to the theorem, we can express n as a product of prime powers:

[tex]n = p1^a1 * p2^a2 * ... * pk^ak[/tex]

where p1, p2, ..., pk are distinct prime numbers and a1, a2, ..., ak are positive integers.

Now, let's separate the primes into two groups: those that appear with an even exponent and those that appear with an odd exponent:

[tex]n = (p1^a1 * p2^a2 * ... * pk^ak/2) * (p1^a1/2 * p2^a2/2 * ... * pk^ak/2)[/tex]

Let's call the first group of primes A and the second group B. Notice that B consists of squares of primes, and thus any prime power in B can be written as the square of some other prime. Let's call these primes q1, q2, ..., qm.

So we can express B as:

[tex]B = q1^2 * q2^2 * ... * qm^2[/tex]

Let's now combine A and B, and call their product C:

C = A * B

Then we have:

[tex]n = C * (q1^2 * q2^2 * ... * qm^2)[/tex]

But notice that C has no square factors, because all the primes in B have an even exponent. Therefore, C is a square-free number, and we have expressed n as the product of a square-free number and the square of primes in B, as desired:

[tex]n = ab^2[/tex], where a is square-free and b = q1 * q2 * ... * qm.

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At the value of x = 3, functions f (x) is equal to g (x).

We have to given that;

Functions are,

f (x) = 2³x

g (x) = 6x + 6

Now, We can equate the functions we get;

2³x = 6x + 6

8x = 6x + 6

8x - 6x = 6

2x = 6

x = 3

Thus, At the value of x = 3, functions f (x) is equal to g (x).

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When creating a control chart, there are several main issues that need to be addressed. These include identifying the process that needs to be monitored and controlled, determining the appropriate data collection methods, selecting the appropriate chart type, setting control limits, and establishing a system for interpreting and responding to chart results.

Firstly, it is important to clearly define the process being monitored and controlled, and to ensure that the data collected accurately reflects the process performance. Secondly, data collection methods need to be established, including how frequently data will be collected and who will be responsible for collecting it.
Thirdly, the appropriate type of control chart needs to be selected based on the type of data being collected and the nature of the process being monitored. This could include variable charts, attribute charts, or time-weighted charts.
Fourthly, control limits need to be established based on the expected variation in the process, and these limits need to be communicated to those responsible for the process. Finally, a system for interpreting and responding to chart results needs to be put in place, including a plan for addressing any out-of-control signals or trends in the data.

In summary, the main issues to address in creating a control chart include process identification, data collection methods, chart selection, control limit setting, and interpretation and response systems.
When creating a control chart, the main issues to address include:

1. Identifying the purpose: Determine the objective of the control chart, such as monitoring process stability, identifying variation sources, or evaluating process improvement efforts.

2. Selecting the appropriate chart type: Choose the right control chart based on the type of data (continuous or attribute) and the sample size. Common chart types include X-bar and R charts, P and NP charts, and C and U charts.

3. Establishing control limits: Calculate the appropriate control limits (upper and lower) based on statistical techniques, using historical data or process specifications.

4. Collecting and plotting data: Collect data from the process in a consistent and timely manner, and plot the data points on the control chart to visualize process behavior.

5. Analyzing and interpreting the chart: Regularly analyze the control chart for patterns or trends that indicate process shifts, trends, or excessive variation. Interpret these patterns to identify the root causes of any issues.

6. Taking corrective action: Address identified issues by implementing corrective actions to improve process stability and performance.

7. Maintaining and updating the chart: Continuously monitor and update the control chart to ensure it remains relevant and effective in identifying and addressing process issues. This may include revising control limits or adjusting sampling methods as needed.

By addressing these issues, you can create an effective control chart that helps you monitor, evaluate, and improve your process performance.

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We fail to reject the null hypothesis and conclude that there is insufficient evidence to support the claim that the mean number of days before visible results begin to show is different between the three types of facial creams.

c. We fail to reject the null hypothesis and conclude that there is insufficient evidence at a 0.025 level of significance to support the claim that the mean number of days before visible results begin to show is different between the three types of facial creams.

To test the hypothesis, we use a one-way ANOVA test since we have three independent samples. The null hypothesis is that there is no difference in the mean number of days for the three creams, and the alternative hypothesis is that at least one of the means is different. We can perform the ANOVA test and obtain an F-statistic and p-value. If the p-value is less than our significance level of 0.025, we reject the null hypothesis.

Using statistical software or a calculator, we obtain an F-statistic of 1.52 and a p-value of 0.249. Since the p-value is greater than 0.025, we fail to reject the null hypothesis and conclude that there is insufficient evidence to support the claim that the mean number of days before visible results begin to show is different between the three types of facial creams.

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The integer which represents the location of the man when he is moved down to look at the coral is -37.

Given that,

A man went scuba diving.

He dove down 12 feet initially.

The he spotted an interesting coral formation and dove down another 25 feet to inspect it.

So from the top, he is at a distance of 12 feet + 25 feet = 37 feet down.

Since it is down, the integer represented here is -37 feet.

Hence the required integer value is -37.

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The domain and range of graph 4 are:

Domain = [-3, 3].

Range = [-1, 4].

The domain and range of graph 5 are:

Domain = [-∞, ∞].

Range = [-∞, ∞].

The domain and range of graph 6 are:

Domain = [-∞, ∞].

Range = [-∞, 1].

In Mathematics and Geometry, a domain refers to the set of all real numbers (x-values) for which a particular function (equation) is defined.

In Mathematics and Geometry, the horizontal portion of any graph is used to represent all domain values and they are both read and written from smaller to larger numerical values, which simply means from the left of any graph to the right.

By critically observing the graphs shown in the image attached above, we can reasonably and logically deduce the following domain and range for graph 4:

Domain = [-3, 3].

Range = [-1, 4].

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The weighted mean for Joe's milk purchases for the week is $2.05 per gallon.

To calculate the weighted mean, you need to multiply each quantity by its corresponding weight, sum up the products, and divide by the total weight. In this case, the quantity represents the number of gallons of milk purchased, and the weight represents the cost per gallon.

Using the given data, the total weight is calculated by summing up the quantities for each day, which is 10 + 5 + 15 + 20 + 8 = 58 gallons. The products of the quantities and weights for each day are as follows:

Monday - 10 * 3.00 = 30.00
Tuesday - 5 * 4.00 = 20.00
Wednesday - 15 * 1.50 = 22.50
Thursday - 20 * 1.25 = 25.00
Friday - 8 * 3.50 = 28.00

The sum of these products is 30.00 + 20.00 + 22.50 + 25.00 + 28.00 = 125.50. Dividing this by the total weight of 58 gallons gives a weighted mean of 125.50 / 58 = $2.05 per gallon.

Therefore, the weighted mean for Joe's milk purchases for the week is $2.05 per gallon, which takes into account both the quantity and cost of milk purchased each day.

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The area of a parallelogram with the following vectors: v1=[1,-2,0], v2=[2,8,-2] is determined to be 20.

A function is a block of code that performs a specific task. It takes in some input, called arguments, and produces an output. In this case, we want to write a function that calculates the area of a parallelogram given two adjacent vectors starting from the origin.

To do this, we first need to calculate the cross-product of the two vectors. The cross product of two vectors gives us a new vector that is perpendicular to both of them. The magnitude of this vector is equal to the area of the parallelogram formed by the two original vectors.

Here is the code for the parallelogram function:

```
function area = parallelogram(v1,v2)
   cross_prod = cross(v1,v2);  % calculate cross product of v1 and v2
   area = norm(cross_prod);  % calculate magnitude of cross product
end
```

In this function, we take in two arguments, v1 and v2, which are the two adjacent vectors. We then use the cross() function to calculate the cross product of these two vectors. Finally, we use the norm() function to calculate the magnitude of the resulting vector, which is equal to the area of the parallelogram.

To use this function to calculate the area of the parallelogram formed by the vectors v1=[1,-2,0] and v2=[2,8,-2], we simply call the function with these vectors as arguments:

```
v1 = [1,-2,0];
v2 = [2,8,-2];
area = parallelogram(v1,v2);
disp(area);
```

This will output the area of the parallelogram, which is 20.

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If P(A) = 0.80, P(B) = 0.65, and P(A È B) = 0.78, then P(B½A) =the answer is (a) 0.9750. By the formula for conditional probability

To find P(B|A), we can use the formula for conditional probability: P(B|A) = P(A ∩ B) / P(A). We know P(A) = 0.80, but we need to find P(A ∩ B).

We can use the formula for the union of two events: P(A ∪ B) = P(A) + P(B) - P(A ∩ B). We are given P(A ∪ B) = 0.78 and P(B) = 0.65.

Plugging in the values, we get:

0.78 = 0.80 + 0.65 - P(A ∩ B)

Now, solve for P(A ∩ B):

P(A ∩ B) = 0.80 + 0.65 - 0.78
P(A ∩ B) = 0.67

Now we can find P(B|A):

P(B|A) = P(A ∩ B) / P(A)
P(B|A) = 0.67 / 0.80
P(B|A) = 0.8375

So the answer is (c) 0.8375.

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The simplified expressions are:

In order to solve the algebraic expressions:

a. 3x(x²+2x-6)

Distribute 3x across the terms inside the parenthesis:

= 3x^3 + 6x^2 - 18x

b, -5x (2x² - 4x - 8)

In order to solve this too, we would do the same thing as the first one and distribute -5x

= -10x^3 + 20x^2 + 40x

c.  -2x(3x² + 7x + 1)

We also distribute -2x

This would give us the expression which is

= -6x^3 - 14x^2 - 2x

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If the monopolist charges a single price for teddy bears, an accurate outcome would be that the monopolist would maximize their profits by charging a price higher than the marginal cost of producing the teddy bears. This would result in consumers paying a higher price for the teddy bears, and potentially fewer consumers being willing to purchase them at the higher price.

A single seller who has complete control over the market's supply of a specific commodity or service is referred to as a monopolist.

As the sole manufacturer of teddy bears in this situation, the monopolist has complete control over the market's supply of teddy bears.

As a result, the monopolist will price the teddy bears higher than their marginal cost of production in order to maximise revenues.

The monopolist can maximise their profits by setting a price that is higher than the marginal cost.

However, the increased cost might cause fewer customers to be willing to buy the teddy bears, which might decrease the total demand for the good.

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The type of association you are referring to is called a spurious correlation. In a spurious correlation, there is a relationship between two variables, but the relationship is actually caused by a third variable, also known as a confounding variable. This can lead to misleading conclusions if the third variable is not taken into account.

The type of association that occurs when there is a relationship between two variables, but the relationship is caused by a third variable is called a spurious association or a confounding variable. In this case, the relationship between the two variables is not a direct causal relationship, but is instead influenced by the third variable. It is important to identify and control for confounding variables in order to accurately interpret the relationship between the two variables of interest.

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The coordinates of a vertex are contingent upon the type of figure it is associated with. Accordingly, there are certain methods to locate the coordinates of vertices distinguishing multiple shapes:

For a parabola in standard form (y = ax^2 + bx + c), its vertex's x-coordinate can be identified by -b/2a, with y-coordinate deducible through substitution into equation.

In the case of a triangle, its vertex is situated at the union of two sides; therefore, if the coordinates of the triad of vertices are accessible, use of the distance formula will ascertain the measurement of each side.

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Answer:

x = 9

Step-by-step explanation:

Ratios!! Since both triangles are in the same triangle, they are proportinate in size. from there, we can match the sides of the small triange to the sides of the large.

[tex] \frac{4}{10} = \frac{6}{6 + x} [/tex]

Then, you can cross multiply and solve the equation algebraicly for x.

4(6+x) = 60

24+4x = 60

4x = 36

x = 9

Suppose P, Q, and R are statements, P + (QR) and (P + Q) + R are logically equivalent.

To determine if P + (QR) and (P + Q) + R are logically equivalent, we can use a truth table.

First, we need to define the truth values for P, Q, and R. Let's say P is true, Q is false, and R is true.

Using these truth values, we can evaluate both statements:

P + (QR) = true + (false true) = true
(P + Q) + R = (true false) + true = true

Since both statements have the same truth value with these truth values for P, Q, and R, we can say that P + (QR) and (P + Q) + R are logically equivalent.

We can also prove this algebraically:

P + (QR) = (P + 0) + (0Q + R) = (P + (Q + 0)) + R = (P + Q) + R

Therefore, P + (QR) and (P + Q) + R are logically equivalent.

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The optimal number of carts and pretzel price will depend on the size of the population and the competitive landscape. The park should conduct market research to determine the ideal price point and number of carts for their specific market.

To determine how many carts the amusement park should put out and what they should set their pretzel price to in order to maximize their profit for an arbitrary population p, several factors need to be considered.

Firstly, the demand for pretzels will depend on the size of the population p. If p is large, the park should put out more carts to meet the demand. However, if p is small, fewer carts would be sufficient.

Secondly, the price of the pretzels will also affect demand. If the price is too high, people may choose to buy other snacks or not purchase anything at all. On the other hand, if the price is too low, the park may not be able to cover their costs and make a profit. Therefore, the park should set the pretzel price to a level that is competitive with other snacks but still allows for a reasonable profit margin.

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Suppose A and B are dependent events. If P(A|B) = 0.25 and P(B) = 0.6, then  P(AuB) = 0.2

The probability of an event is described as a number that indicates how likely the event is to occur which is usually  expressed as a number in the range from 0 and 1, or preferably using percentage notation ranging  from 0% to 100%.

The relationship between two dependent events is expressed in the following equation below according to the rules of probability,

P(A|B) = P(A∩B) / P(B)

we then substitute ,

0.25 = P(A∩B) / 0.8

P(A∩B)  = 0.2

In conclusion, If P(A|B) = 0.25 and P(B) = 0.6, then  P(AuB) = 0.2

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We have proven that:

cost = Jo - 2J2 +2J4 – = .......

[infinity]

= Jo(x) + Σ (-1)^n j2n (x).

n=1

To prove this identity, we first start with the formula for the exponential function:

e^ix = cos(x) + i*sin(x)

where i is the imaginary unit.

Now, we can rewrite the right-hand side of the desired identity using this formula:

Jo(x) + Σ (-1)^n j2n (x)

= Jo(x) + Σ (-1)^n [i^nJn(x) - i^nYn(x)] (using the Bessel function identity j_n(x) = cos(x)J_n(x) - sin(x)Y_n(x))

= Jo(x) + Σ (-i)^nJn(x) + Σ i^nYn(x)

= Jo(x) + Σ (-i)^nJn(x) + Σ (-i)^{n+1}Jn(x) (using the Bessel function identity Y_n(x) = (J_n(x)cos(npi) - J_{-n}(x))/sin(npi))

= Jo(x) + 2Σ (-i)^nJn(x)

= Jo(x) + 2Σ (-1)^n*J2n(x) (since Jn(x) is real for all n)

Therefore, we have proven that:

cost = Jo - 2J2 +2J4 – = .......

[infinity]

= Jo(x) + Σ (-1)^n j2n (x).

n=1

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However, since |X| and Z are not directly dependent on each other, their covariance will be 0. So, Cov(|X|, Z) = 0.

To find the covariance of |X| and Z, first let's understand the terms and the relationship between them.

Since X is a continuous random variable symmetric about Y, the probability distribution of X is symmetric around Y.

Now, Z is a binary random variable that takes the value 1 if X > Y, and 0 if X <= Y. Now, let's find the covariance:

Cov(|X|, Z) = E[(|X| - E[|X|])(Z - E[Z])]

Since X is symmetric about Y, we know that E[|X|] = E[X] (due to symmetry).

To find E[Z], we can observe that: E[Z] = P(X > Y) = 0.5 (As the distribution is symmetric about Y, the probability of X being greater than Y is 0.5)

Now, let's find E[(|X| - E[X])(Z - 0.5)]: E[(|X| - E[X])(Z - 0.5)] = ∫∫(|x| - E[X])(z - 0.5)f(x,z) dx dz

However, since |X| and Z are not directly dependent on each other, their covariance will be 0. So, Cov(|X|, Z) = 0.

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The value of the cos z is 12/13.

We have,

Perpendicular = 36 unit

Hypotenuse = 39

Base = 15

Using Trigonometry

cos Z = YZ / XZ

cos Z = 36 / 39

cos Z = 12 / 13

Thus, the value of cos Z is 12/13.

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