please help :) :) Math is hard

In this case, we'll have to carry out several steps to find the solution.

Step 01:

Data

triangle 1

h = 6

p = 18

triangle 2

h = 4

p = ?

Step 02:

We must apply the properties of triangles to find the solution.

18*4 = 6 * pt2

72 = 6 pt2

72 / 6 = pt2

12 = pt2

The answer is:

The perimeter of the smaller triangle is 12

The formula to find the distance between a point and a line is

Graphically

So, in this case, you have

Then

The absolute value is the distance between a number and zero. The distance between -10 and 0 is 10.

Therefore, the distance between the point of the line is 10 units.

The value of angle S is 53°

Exterior angle theorem states that the measure of an exterior angle of a triangle is equal to the sum of two remote interior angles.

With this theorem we can say that

7x+2 = 4x+13+19

collecting like terms

7x -4x = 13+19-2

3x = 30

divide both sides by 3

x = 30/3

x = 10

Since x = 10

angle S = 4x+13

angle S = 4(10) +13

= 40+13

= 53°

Therefore the measure of angle S is 53°

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Alvarez received $200,000 which is 40% of the profit.

A value or ratio that may be stated as a fraction of 100 is referred to as a percentage in mathematics. If we need to calculate a percentage of a number, we should divide it by its entirety and then multiply it by 100. The proportion therefore refers to a component per hundred. Per 100 is what the word percent means. The letter "%" stands for it. Rather than being expressed as a fraction, a percentage is a piece of a whole expressed as a number between 0 and 100. Nothing is zero percent; everything is 100 percent; half of something is 50 percent; and nothing is zero percent. You divide the part of the whole by the whole and multiply the result by 100 to get the percentage.

Given

Profit $500000

Alvarez owns 40% of the business.

Percentage

500000 × 40%

200000

Alvarez received $200,000 which is 40% of the profit.

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The term that is not affected the standard error of an estimator is population size, from the provide data in options. So, option (c) is right one.

The standard error is a statistical term that used to measured the accuracy that a sample distribution represents a population by using standard deviation. The standard error(SE) is very similar to standard deviation of a distribution. Both are used to measure the spread of distribution. Higher the value SE, the more spread out your data is. In statistical way, standard error is also called standard error of mean, SEM, it represents the deviation of sample mean deviates from the actual mean of a population.

It is calculated simply by dividing the standard deviation by the square root of the sample size. That is \(SE = \frac{σ }{\sqrt{n}}\)

where , n --> sample size

σ --> population standard deviations

Now, from the above formula it is clearly seen that standard error term or an estimator affected by sample size (n) and population standard deviations ( σ). So, right choice for answer is population size.

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Complete question:

standard error of an estimator is not affected by the multiple choice question.

a) population standard deviation

b) sample size

c) population size

Answer: 8

Step-by-step explanation: If we can define $ as k$, this would mean /frac32 would be K+($6). So, the answer is 8

Using the Counting the faces of two dice,

the atleast 17 number of faces are possible on the combination of two dice.

First, we have to count the favorable cases,

We know both dice have atleast 6 faces.

It gives 6 favorable cases for a sum of 7.

If we can count them if mean even if dice had more than 6 faces, will matter of for sum of 7.

Now, the mean, we need 6× 4/3=8 (favorable cases for the sum of 10)

If we count 3 favorable cases for each having 6 faces.

For more than 9 faces on a dice matter give the denominator (sample space) are the same for both sum of 7 and the sum of 10, and the probability of one is in proportion to the other.

It mean, additional 5 cases must be ( 7,2), (2,7), (8,2), (2,8) ,(9,1)

So , one of the dice has 8 faces and the other has atleast 9 faces.

Now, we must have atleast 17 combined faces of two dice for probability . So, we get if 12 with configration of 8 faces on one dice.

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Answer:

B

Step-by-step explanation:

\(x^{0} = 1\\\\\frac{x^{m}}{x^{n}}= \frac{1}{x^(n-m)}}, n >m\\\\\\\frac{6ab}{(a^{0}b^{2})^{4}}=\frac{6ab}{(1*b^{2})^{4}}\\\\=\frac{6ab}{b^{2*4}}\\\\=\frac{6ab}{b^{8}}\\\\=\frac{6a}{b^{8-1}}\\\\=\frac{6a}{b^{7}}\)

The equivalent expression of 6ab/(a^0b^2)^4 is 6a/b^7

The expression is given as:

6ab/(a^0b^2)^4

Evaluate the exponent of 0

6ab/(b^2)^4

Apply the law of indices, and open the bracket

6ab/b^8

Apply the law of indices

6a/b^(8-1)

Evaluate the difference

6a/b^7

Hence, the equivalent expression of 6ab/(a^0b^2)^4 is 6a/b^7

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The probability that a randomly selected home in Queens has 4 or more computers is 0.1 or 10%. The correct answer is (b) 0.10.

The given probability distribution table shows the probabilities of having 1, 2, or 3 computers in a randomly selected home in Queens. However, the probability of having 4 or more computers is not given in the table.

To find the probability of having 4 or more computers in a randomly selected home, we can use the complement rule. The complement rule states that the probability of an event happening is equal to 1 minus the probability of the event not happening. In this case, the event we are interested in is having 4 or more computers in a home, and the complement of this event is having 1, 2, or 3 computers in a home.

So, the probability of having 4 or more computers in a randomly selected home in Queens can be calculated as:

P(4 or more) = 1 - P(1 or 2 or 3)

P(1 or 2 or 3) = P(1) + P(2) + P(3) = 0.4 + 0.3 + 0.2 = 0.9

P(4 or more) = 1 - 0.9 = 0.1

Therefore, the probability that a randomly selected home in Queens has 4 or more computers is 0.1 or 10%. The correct answer is (b) 0.10.

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Answer:

A = 80

Step-by-step explanation:

B = 8

H = 10

Area of a Parallelogram = B x H = 8 x 10 = 80

The interval of increase for the function f(x) = ex x8 is (0, ∞).

To determine the intervals of increase or decrease for the given function, we need to analyze the sign of the derivative.

Let's find the derivative of f(x) with respect to x:

f'(x) = (ex x8)' = ex x8 (8x7 + ex)

To determine the intervals of increase, we need to find where the derivative is positive (greater than zero).

Setting f'(x) > 0, we have:

ex x8 (8x7 + ex) > 0

The exponential term ex is always positive, so we can ignore it for determining the sign. Therefore, we have:

8x7 + ex > 0

Now, we solve for x:

8x7 > 0

Since 8 is positive, we can divide both sides by 8 without changing the inequality:

x7 > 0

The inequality x7 > 0 holds true for all positive values of x. Therefore, the interval of increase for the function is (0, ∞), which means the function increases for all positive values of x.

The function f(x) = ex x8 increases in the interval (0, ∞).

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Step-by-step explanation: The hypotenuse is defined as the longest side of a right triangle and since an equilateral triangle has 3 congruent angles and 3 congruent sides, it cannot be a right triangle.

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An equilateral triangle does not have a hypotenuse.

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The given statement is False . That is regression sum of squares (ssr) can be greater than the total sum of squares (sst).

Regression sum of squares (ssr)

The sum of squares regression is the sum of the differences between the predicted value and the mean of the dependent variable.

SSR = ∑( yᵢ-cap - y-bar)² and i = 1 to N

Total Sum of Squares (SST) :

Total Sum of Squares is the deviation of the value of the dependent variable from the sample mean of the dependent variable. Essentially, the total sum of squares quantifies the total sample variation. It can be found using the formula:

SST = ∑(yᵢ - y-bar )²

The first is that the regression sum of squares cannot be computed as a total sum of squares. Let's find an explanation for this. We know that the sum of squares can be divided. There's the dualism of squares, some of the squares and regressions, sums of squares, dead food. A regression sum of squares is not formed, it is a total sum of squares. This means the statement is false. The next processing is the value, which is always positive, but we know that the value the confession of the adjustment, in the range -1 to 1.

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bi) The first year that the number of websites reached over 200 million is 2009.

bii) The two consecutive years with the largest increase in the number of websites are 2016 and 2017.

c) The percentage change in the number of websites from 1991 to 1992 is 900%.

In Mathematics and Geometry, a graph is a type of chart that is used for the graphical representation of ordered pairs, end points on both the horizontal and vertical lines of a cartesian coordinate.

Part bi.

By critically observing the graph shown in the image attached above, we can logically deduce that the number of websites reached over 200 million in year 2009.

Part bi.

By critically observing the graph shown in the image attached above, we can logically deduce that years 2016 to 2017 were the two consecutive years that had the largest increase in the number of websites, which is from one billion to 1.8 billion.

Increase = 1 billion - 1.8 billion

Increase = 800 thousand.

Part c.

Percentage increase = [Final value - Initial value]/Initial value × 100

Percentage increase = [10 - 1]/1 × 100

Percentage increase = 9 × 100

Percentage increase = 900%.

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There is a relationship between the numbers of strawberries gathered and the amount of rainfall that can be found in a model (function).

A scatter plot with a trendline along which the data points are situated can be used to demonstrate the relationship between correlated variables.

Indicating a positive correlation is when the trendline slopes higher from left to right, while the opposite is true.

Part A:

The correlation coefficient of r = 0.1 is valid based on the provided scatter plot.

Part B:

The independent variable (the explanatory variable) is the cause of the dependent variable in a causal connection.

As a result, you need to identify a plausible factor that can influence the number of strawberries collected.

The week before harvest, I could picture how much it would rain.

Hence, There is a relationship between the number of strawberries gathered and the amount of rainfall that can be found in a model (function).

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For the ratios of the angles;

Sine, cosine, and tangent are trigonometric functions used to calculate the ratios of the sides of a right triangle. The side opposite the right angle is called the hypotenuse, while the other two sides are called the adjacent and opposite sides.

Let the hypotenuse be X

Angle A;

Sine A= D/X

Cos A = M/X

Tan A = D/M

Angle B;

Sin B = M/X

Cos B = D/X

Tan B = M/D

The e angle in question may be measured in radians or degrees.

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Answer:

It has traveled 325 miles

Answer:

In 1 hour truck travels 65 miles

In 5 hours, truck travels 65*5= 325 miles

Answer:

watch vedio

Step-by-step explanation:

gsinssuksbsi

Answer:

19.65 left

Step-by-step explanation:

The total amount that he has is 3 * 12 =                   36 dollars.

From this he buys a CD for                          15.00

There is a 9% tax on 15 dollars 15*9/100 =   1.35

Amount spent =                                                         16.35

Amount left                                                               19.65

Paul saves $3 each week for 12 weeks.

3 × 12 = $36

He buys the CD for $15

The tax is 9% out of $15.

15 × 9/100 = $1.35

In total he spent $16.35

To find the money he has left we take the total amount of money he had before he bought anything and subtract it with the money he spent.

36 - 16.35 = $19.65

:)

Moe's present age = 32

Zach's present age = 24

Let Moe's present age be represented by m

Let Zach's present age be represented by z

Moe is 8 years older than Zach now

m = z + 8..........(1)

Twenty years ago, Moe's age would be m - 20

Twenty years ago, Zach's age would be z - 20

Twenty years ago, Moe's age was three times that of Zach

m - 20 = 3(z - 20)

m - 20 = 3z - 60

m = 3z - 60 + 20

m = 3z - 40..........(2)

Let equations (1) and (2) be equal to each other:

z + 8 = 3z - 40

3z - z = 8 + 40

2z = 48

z = 48 / 2

z = 24

Substitute the value of z into equation (1)

m = z + 8

m = 24 + 8

m = 32

Moe's present age = 32

Zach's present age = 24

Answer:

27/3=9

Step-by-step explanation:

9 books per day

Answer: 9 books per day

Step-by-step explanation:

27 books / 3 days = 9 books per day

Therefore, Ay = 0.12. Rounded to four decimal places, we have dy = 0.1200 and Ay = 0.1200.

To compute the values of dy and Ay for the function y = (x + 2)² given x = 1 and Ax = dx = 0.02, we need to find the derivative dy/dx and evaluate it at x = 1, and then multiply it by the given value of dx.

Find the derivative dy/dx:

dy/dx = 2(x + 2)

Evaluate dy/dx at x = 1:

dy/dx = 2(1 + 2) = 6

Multiply dy/dx by dx:

dy = (dy/dx) × dx = 6 × 0.02 = 0.12

Therefore, dy = 0.12.

Now, to compute Ay, we need to find the derivative of y with respect to x and evaluate it at x = 1, and then multiply it by the given value of Ax.

Find the derivative of y with respect to x:

y = (x + 2)²

dy/dx = 2(x + 2)

Evaluate dy/dx at x = 1:

dy/dx = 2(1 + 2) = 6

Multiply dy/dx by Ax:

Ay = (dy/dx) ×Ax = 6 × 0.02 = 0.12

Therefore, Ay = 0.12.

Rounded to four decimal places, we have dy = 0.1200 and Ay = 0.1200.

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Step-by-step explanation:

To find the percentage increase, we use the following formula:

percentage increase = (new value - old value) / old value * 100%

In this case, the old value is 25 and the new value is 86. So, we can plug these values into the formula:

percentage increase = (86 - 25) / 25 * 100% = 244%

Therefore, the percentage increase from 25 to 86 is approximately 244%.

Answer:

244% increase

Step-by-step explanation:

The aspects of a written report would Malcom most likely prioritize over some of his millennial reports are specific work environment, industry, or personal inclinations.

Traditionalists generally appreciate reports that rely on factual information and data to support arguments and conclusions. Malcolm may prioritize reports that provide evidence-based analysis, statistical data, and logical reasoning. He might expect the inclusion of citations or references to reputable sources when presenting facts, figures, or external information. This focus on concrete evidence helps establish credibility and supports decision-making processes.

Given Malcolm's traditionalist tendencies, he might prioritize reports that demonstrate a keen eye for detail and accuracy. He may expect information to be well-researched, double-checked for accuracy, and presented in a meticulous manner. Spelling errors, typos, or incorrect information may be seen as indications of carelessness or lack of professionalism, which might impact his perception of the report's quality.

Furthermore, individuals' preferences may also be influenced by their specific work environment, industry, or personal inclinations. Effective communication and understanding between Malcolm and his millennial team members would involve considering their perspectives and finding a balance that satisfies everyone's needs and preferences while maintaining the standards required by the organization.

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Answer:

2nd one

Step-by-step explanation:

The answer to your question depends on the specific context and analysis being referred to. In statistical analysis, a coefficient is a measure of the strength and direction of the relationship between two variables. The term "statistically significant" refers to whether a result or relationship observed in a sample is likely to hold true in the larger population, based on the probability of obtaining such a result by chance.

If the coefficient for population is found to be statistically significant at a certain level, this means that the relationship between population and the outcome being studied is unlikely to have occurred by chance alone.

In your question, the possible answers suggest different levels of statistical significance, ranging from 1% to 49.5%. Generally, a standard level of significance is set at 5%, meaning that there is a 95% chance that the relationship observed in the sample is true for the population as a whole. If the coefficient for population is found to be statistically significant at the 5% level, this would suggest that the relationship is strong enough to be confident that it holds true in the larger population.

However, if the coefficient is only statistically significant at a higher level (such as 1%), this suggests an even stronger relationship between population and the outcome being studied. On the other hand, if the coefficient is not statistically significant at any level (i.e. it is "insignificant"), this suggests that there is not enough evidence to support a relationship between population and the outcome, or that any relationship that does exist is weak and likely due to chance.

Without more context or information about the specific analysis being conducted, it is difficult to determine which of these answers is correct. However, if a coefficient for population is found to be statistically significant, it is important to provide an explanation of what this means in the context of the research question and the data being analyzed.  

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g(x) = -6x - 11 is the function obtained by translating f(x) = -6x - 5 one unit leftTo find g(x), which is the translation of f(x) = -6x - 5 one unit left, we can use the transformation formula:

g(x) = f(x + 1)

Substituting f(x) = -6x - 5 into the formula, we get:

g(x) = f(x + 1)
    = -6(x + 1) - 5  (replacing x + 1 for x in f(x))
    = -6x - 11      (distributing the negative sign)

Therefore, g(x) = -6x - 11 is the function obtained by translating f(x) = -6x - 5 one unit left. We can see that g(x) is the same as f(x) except that the y-intercept has changed from -5 to -11. This means that g(x) is a steeper version of f(x), as it has a greater slope (gradient).

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For a related-samples t test, the source of variability attributed to individual differences that remains after difference scores are computed is typically referred to as residual variance.

This residual variance can be thought of as the unexplained variability that is still present in the data even after accounting for the systematic differences between the two related groups. In order to accurately interpret the results of a related-samples t test, it is important to consider not only the mean difference between the two groups, but also the amount of residual variance that remains in the data. The source of variability attributed to individual differences that remains after difference scores are computed is the "within-subjects variability."

Lastly, we can address the within-subjects variability. Although the difference scores help to reduce the impact of individual differences, there will still be some within-subjects variability. This remaining variability is due to factors such as random error, measurement error, or individual response variability that are not completely accounted for by the difference scores. It is important to consider this variability when interpreting the results of a related-samples t-test.

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Lines b is parallel at an intersection at an angle of 89. 5 degrees.

In the above question, the two parallel lines will be b and d.

How do parallel lines work?

From the illustration, we can see that

Lines b and an intersect at an angle of 89. 5 degrees.

Lines c and an intersect at an angle of 91.5 degrees.

Lines d and an intersect at an angle of 89.5 degrees.

Lines e and an intersect at an angle of 88.5 degrees.

Lines f and an intersect at an angle of 90.5 degrees.

Since the angles created by lines b and an are equal, the result is 89.5.

Consequently, these two lines will never intersect.

However, other lines have different angles, so they can collide at a single location.

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