Please help this is the final question on my homework and I am lost

Approximately 32% of students scored above 86 on the university exam.

To determine the percentage of students who score above 86, we can use the 68-95-99.7 rule, also known as the empirical rule or the three-sigma rule.

According to this rule, in a normal distribution:

Approximately 68% of the data falls within one standard deviation of the mean.

Approximately 95% of the data falls within two standard deviations of the mean.

Approximately 99.7% of the data falls within three standard deviations of the mean.

Given that the mean is 78 and the standard deviation is 8, we can calculate the z-score for 86 using the formula:

z = (x - μ) / σ, where x is the value, μ is the mean, and σ is the standard deviation.

z = (86 - 78) / 8 = 1

Since 86 is one standard deviation above the mean, we know that approximately 68% of students scored below 86. Therefore, the percentage of students who score above 86 can be estimated as 100% - 68% = 32%.

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The statistical unit for John's study is A. the 35 countries. John is trying to estimate the average literacy rate across all countries, and he randomly selected 35 countries to research their literacy rates. The statistical unit in this case is the individual country, as each country's literacy rate is being used to calculate the average.

The statistical unit for John's study is A. the 35 countries. This is because John's study is based on a sample of 35 countries that he randomly selected. The sample is used to estimate the average literacy rate for all countries. The sample size of 35 countries is large enough to provide a representative sample of the population of countries. If John had selected only a few countries or individuals, his estimate of the average literacy rate would not have been reliable. However, by selecting a sample of 35 countries, John can make a more accurate estimation of the average literacy rate for all countries. In conclusion, the statistical unit for John's study is the sample of 35 countries that he researched to estimate the average literacy rate for all countries.

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The valid statement about the value of the correlation coefficient (r) is:

"The correlation between the height and BMI of 10th graders is 0.82."

The reason this statement is valid is that the correlation coefficient (r) measures the strength and direction of the linear relationship between two variables. It can range from -1 to +1, where -1 indicates a perfect negative correlation, +1 indicates a perfect positive correlation, and 0 indicates no correlation.

In the given statement, it is mentioned that the correlation coefficient between height and BMI of 10th graders is 0.82. This indicates a strong positive correlation between height and BMI, suggesting that as height increases, the BMI tends to increase as well.

The other statements provided do not represent valid examples because they either contain incorrect values for the correlation coefficient (e.g., r = 3.1) or provide correlation coefficients that are not correctly interpreted (e.g., stating a correlation coefficient in terms of dollars).

Therefore, the statement about the correlation between the height and BMI of 10th graders having a correlation coefficient of 0.82 is the valid statement.

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The number that satisfies the equation is -9/7.

An expression refers to the statement having minimum of two numbers, variables or both and an operator connecting them.

Let x be the number.

Then, we can write the word in expression of [tex]7(x+2) = 5[/tex]

We should expand the left side:

7(x + 2) = 5

7x + 14 = 5

7x = 5 - 14

7x = -9

x = -9/7.

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Answer:

114 degrees

Step-by-step explanation:

x + 66 = 180

x = 180-66

x=114 degrees

The mean absolute deviation of the data is equal to 1.75.

In Mathematics and Geometry, the mean for a data set can be calculated by using the following formula:

Mean = [F(x)]/n

For the total number of data, we have;

F(x) = 11 + 13 + 10 + 9 + 7 + 6 + 9 + 7

F(x) = 72.

Next, we would determine the mean as follows;

Mean = [F(x)]/n

Mean = 72/8

Mean = 9.

Generally speaking, MAD is an abbreviation for mean absolute deviation and it can be calculated by using this formula;

MAD = 1/n ∑|x - μ|

Where:

By substituting the given parameters into the MAD formula, we have the following;

MAD = 1/8 [(11 - 9) +  (13 -9) +(10-9)+(9-9)+(7-9) +(6-9) + (9-9) + (7 -9)]

MAD = 1/8(2 + 4 +1+0+2+3+0+2).

MAD = 1/8(14)

MAD = 1.75

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The mean absolute deviation of the given data is 1.75

From the question, we are to calculate the mean absolute deviation of the given data

To calculate the mean absolute deviation,

First, we will determine the mean of the data

Mean = (11 + 13 + 10 + 9 + 7 + 6 + 9 + 7) / 8

Mean = 72/8
Mean = 9

Now,

We will determine the absolute value of the difference between each data and the mean

|11 - 9| = 2

|13 - 9| = 4

|10 - 9| = 1

|9 - 9| = 0

|7 - 9| = 2

|6 - 9| = 3

|9 - 9| = 0

|7 - 9| = 2

Now,

We will determine the mean of these absolute differences:

Mean absolute deviation = (2 + 4 + 1 + 0 + 2 + 3 + 0 + 2) / 8

Mean absolute deviation = 14 / 8

Mean absolute deviation = 1.75

Hence,

The mean absolute deviation is 1.75

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Answer:

1.6

Step-by-step explanation:

12.8/8 = 1.6

15.2/9.5 = 1.6

Scale factor = 1.6

Answer:

N

Step-by-step explanation:

The new position of the submarine in relation to sea level is -1200 feet (below sea level).

The initial position of the submarine is -1260 feet below sea level, and it descends at a rate of 5 feet per minute for 12 minutes. To calculate the new position of the submarine in relation to sea level, we can use the formula: New position = Initial position - (rate of change x time).

By substituting the given values into the formula, we can calculate the new position:

New position = -1260 - (-5 x 12)

New position = -1260 + 60

New position = -1200 feet

Therefore, the new position of the submarine in relation to sea level is -1200 feet below sea level.

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The Frenet formulas describe the properties of curves in three-dimensional space (R^3). They provide a framework for understanding the curvature, torsion, and other geometric properties of curves.

However, when considering higher-dimensional spaces such as R^4 and R^5, the Frenet formulas can be generalized to accommodate these additional dimensions.

In R^4, we can extend the Frenet formulas to include two additional geometric quantities: the bitorsion and the pentascurvature. These additional quantities capture the behavior of curves in the extra dimensions beyond the usual curvature and torsion.

In R^5, further generalizations of the Frenet formulas can be made, incorporating additional geometric quantities that account for the curvature and torsion in the fifth dimension.

To specify a curve in R^n up to the initial starting frame, n differential invariants are needed. These differential invariants are geometric quantities that remain unchanged under transformations such as translation, rotation, and scaling. They provide a concise representation of the curve's intrinsic properties.

Curves with constant differential invariants in R^n are interesting because they exhibit specific geometric characteristics that remain invariant throughout the curve. These curves can be viewed as special cases where the geometric properties remain constant along the entire curve.

To help 3D beings visualize curves in higher-dimensional spaces such as R^4 and R^5, one approach is to use mathematical representations and computer visualization techniques. Three-dimensional projections of higher-dimensional curves can be displayed using various visualization tools, such as interactive 3D graphics or virtual reality environments. These techniques allow 3D beings to explore and perceive the complex structure of curves in higher-dimensional spaces,

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To send Kred to a Krew member, you can follow the steps provided by the Kred platform. These steps typically involve accessing your Kred account, selecting the desired recipient, specifying the amount of Kred to send, and confirming the transaction.

Sending Kred to a Krew member usually requires using the features and functionalities provided by the specific Kred platform or service. The process may vary depending on the platform, so it is recommended to refer to the official documentation or guidelines provided by the platform. Typically, you would need to log in to your Kred account, navigate to the appropriate section for sending Kred, select the intended recipient from the list of Krew members, enter the desired amount of Kred to send, review the transaction details, and confirm the transfer. The platform may also offer additional options or settings for customizing the transfer process.

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The total area of the crown is 26cm²

We can divide the crown in some simpler figures, these are:

A rectangle of 8cm by (2 + 1/4) cm, the area is the product of the two dimensions, so we can write this as:

A = 8cm*(2 + 1/4)cm

A = 18cm²

And in 4 triangles whose base is of 2cm, and its height is also of 2cm, then the area of each triangle is:

T = 2cm*2cm/2 = 2cm²

Then the total area of the crown is:

area = 18cm² + 4*2cm²

area = 18cm² + 8cm²

area = 26cm²

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The measure of arc:

16: m FE = 100 degree

17: mBC = 50 degree

18: mCE = 130 degree

19: mCFE = 230 degree

In  the figure,

mFE = ∠FGE = 100 degree

mBC = ∠AGB = 50 degree

Now,

mCE  = mCD +mDE

         =  90 + (180 - mBC - mCD)

         =  90 + ( 180 - 90 - 50)

         = 130 degree

And mAF = 180 - mAB - mFE

                =  180 - 50 - 100

                = 30 degree

Now,

mCFE = 50+50+30+100

          = 230 degree

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Domain:  the domain or set of departure of a function is the set into which all of the input of the function is constrained to fall. It is the set X in the notation f: X → Y, and is alternatively denoted as . Since a (total) function is defined on its entire domain, its domain coincides with its domain of definition.

Vertical Line test:  the vertical line test is a visual way to determine if a curve is a graph of a function or not. A function can only have one output, y, for each unique input, x. If a vertical line intersects a curve on an xy-plane more than once then for one value of x the curve has more than one value of y, and so, the curve does not represent a function. If all vertical lines intersect a curve at most once, then the curve represents a function.

Relation: Relations are used to describe a connection between the elements of two sets. They help to map the elements of one set (known as the domain) to elements of another set (called the range) such that the resulting ordered pairs are of the form (input, output).

Practical Range: range is a statistical measurement of dispersion, or how much a given data set is stretched out from smallest to largest. In a set of data, the range is the difference between the greatest and smallest value.

Function: Function is an expression, rule, or law that defines a relationship between one variable (the independent variable) and another variable (the dependent variable).

Practical Domain: The domain is the set of all possible x-values which will make the function "work" and will output real y-values.

function Notation: Function notation is a way of expressing a relationship between two variables. A function is most often denoted by letters such as f, g, and h, and the value of a function f at an element x of its domain is denoted by f(x). In function notation, f(x) represents the output of the function f for a given input x. The letter 'f' is commonly used to represent a function, but other lower case letters such as 'g' or 'h' can also be used. The function notation formula is f(x) = y, where y is the output of the function for a given input x. The set of all pairs (x, f(x)) is called the graph of the function.

Answer:

Step-by-step explanation:

To change the number 40.505734 to two significant figures, we need to round it to the nearest value with two significant figures.

Looking at the third digit after the decimal point (5), we see that it is greater than or equal to 5. Therefore, we need to round up the second digit after the decimal point (0) by adding 1 to it.

Thus, the number 40.505734 rounded to two significant figures is 41.

To simplify the expression (x+5)(x^2-25)(x+5)^2(x-5)^2, we can begin by factoring the expressions:

(x+5) = (x+5)

(x^2-25) = (x-5)(x+5)

(x+5)^2 = (x+5)(x+5)

(x-5)^2 = (x-5)(x-5)

Now, we can substitute these factorized expressions back into the original expression:

(x+5)(x^2-25)(x+5)^2(x-5)^2 = (x+5)(x-5)(x+5)(x-5)(x+5)(x+5)(x-5)(x-5)

Simplifying further, we can combine like terms:

(x+5)(x-5)(x+5)(x-5)(x+5)(x+5)(x-5)(x-5) = (x+5)^3(x-5)^3

Therefore, the simplified expression is (x+5)^3(x-5)^3.

As for the domain of this expression, it includes all real numbers because there are no restrictions or limitations on the values that x can take. Therefore, the domain is (-∞, ∞).

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The percentage of light bulbs lasting between 1805 hours and 2195 hours is given as follows:

99.7%.

The Empirical Rule states that, for a normally distributed random variable, the symmetric distribution of scores is presented as follows:

For this problem, we have that both 1805 hours and 2195 hours are three standard deviations from the mean, hence the percentage is of 99.7%.

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To find the amount of sand that a box will hold, we would use the measure of volume.

Volume is the amount of space that an object or substance takes up in three dimensions, typically measured in cubic units. In the case of the box being filled with sand, we would use the volume of the box to determine how much sand it can hold. This can be calculated by multiplying the length, width, and height of the box together, which gives the total cubic units of volume. The resulting value would be in cubic units such as cubic inches, cubic feet, or cubic meters, depending on the units of measurement used.

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As long as Glenda's process follows these criteria, it will be a binomial experiment.

Glenda's process of checking computer monitors for defects to be considered a binomial experiment, it must meet the following criteria:
1. Fixed number of trials (n): Glenda must check a fixed number of monitors, such as 50 or 100.
2. Only two possible outcomes: Each monitor can either be defective (success) or not defective (failure).
3. Independent trials: The outcome of one trial (checking one monitor) does not affect the outcome of any other trials.
4. Constant probability of success (p): The probability of finding a defective monitor should remain constant at 0.5% (0.005) for all trials.
As long as Glenda's process follows these criteria, it will be a binomial experiment.

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In the given research design, there are three independent variables. The notation "2x2x4" represents the number of levels or conditions for each independent variable.

The first independent variable has two levels (2x), the second independent variable has two levels (2x), and the third independent variable has four levels (4). Each independent variable is manipulated or varied independently of the others in order to examine their effects on the dependent variable(s). Therefore, there are three independent variables in this 2x2x4 research design.

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The coordinates of the vertices of A’B’C’ are A' = (1, 3), B' = (3, 4) and C' = (4, 1)

From the question, we have the following parameters that can be used in our computation:

The graph

The coordinates of the vertices of A’B’C’ are the coordinates of the locations of the the vertices A', B' and C'

Using the above as a guide, we have the following:

From the graph, we have the coordinates of the vertices of A’B’C’ to be

A' = (1, 3)

B' = (3, 4)

C' = (4, 1)

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Answer:

C

Step-by-step explanation:

you just have to find the surface area here. 2(2x10) = 40 this is the area of both the sides. then 2(15×10) = 300 this is the area of the top and the bottom. after that we will find the area of the the back and the front side which is 2(15×2) = 60. finally we will add them up. 40+300+60= 400 in^2. remember the surface area is 2(lw + wh + hl) where I is the length w is the width and h is the height

I think you wana simplify so here you go:

1) Expand by distributing terms.

9.4x−(22.22y−5.252x)+y

2) Remove parentheses.

9.4x−22.22y+5.252x+y

3) Collect like terms.

(9.4x+5.252x)+(−22.22y+y)

4) Simplify.
14.652x−21.22y
At this point you can't simplify it any further as there are no like terms
Hope this helps!

Answer:

the answer is B D and E

Step-by-step explanation:

as you can see the enlargement is by 3

Answer:

D and E :)

Step-by-step explanation:

which simplifies to 85 = c^2. Taking the square root of both sides, c = sqrt(85), which is the simplest radical form for the distance between the two points.

To graph a right triangle with (-9, -4) and (-2, 2) as the endpoints of the hypotenuse, first plot these points on a coordinate plane. Next, determine the third point of the triangle so that it forms a right angle. One possible point is (-9, 2), which creates a right angle at (-9, 2).

Now, find the length of the legs of the triangle. The horizontal leg has length |-9 - (-2)| = 7 units, and the vertical leg has length |-4 - 2| = 6 units.

To find the distance between the two points, use the Pythagorean theorem: a^2 + b^2 = c^2, where a and b are the legs and c is the hypotenuse. So, 7^2 + 6^2 = c^2, or 49 + 36 = c^2,

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To determine the percentage of variation in the outcome variable that is explained by the least-squares regression line, we need to calculate the coefficient of determination (R-squared). R-squared is the proportion of the variance in the dependent variable (outcome) that is explained by the independent variable(s) in the model.

To calculate R-squared, we can square the correlation coefficient between the dependent variable and the predicted values from the regression line. This will give us a value between 0 and 1, which represents the proportion of variation explained.

If we have already calculated the correlation coefficient (r), we can simply square it to obtain R-squared. Alternatively, we can use software or a calculator to obtain the value directly.

Once we have calculated R-squared, we can convert it to a percentage by multiplying by 100. For example, if R-squared is 0.75, then 75% of the variation in the outcome variable is explained by the least-squares regression line.

Therefore, to answer the question, we need to calculate R-squared based on the available data and round the answer to one decimal place. The resulting percentage will be the percentage of variation in the outcome variable that is explained by the least-squares regression line.

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To meet the requirements of a 98% confidence level and a margin of error of 3%, you should interview at least 314 individuals in the workforce.

To determine the sample size needed for the survey, we can use the formula:

n = (z^2 * p * (1-p)) / E^2

Where:

n is the required sample size

z is the z-score corresponding to the desired confidence level

p is the estimated proportion from the pilot survey

E is the desired margin of error

In this case, the desired confidence level is 98% which corresponds to a z-score of approximately 2.33 (rounded to 3 decimal places). The estimated proportion from the pilot survey is 7/45 = 0.1556, and the desired margin of error is 3% which is equivalent to 0.03.

Substituting these values into the formula:

n = (2.33^2 * 0.1556 * (1-0.1556)) / 0.03^2 ≈ 313.085

Rounding up to the next whole number, the required sample size is 314.

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The volume of the given cone is 192 π units³.

Given is a cone of height 16 units and radius of 6 units, we need to find the volume of the cone,

V(cone) = π × radius² × height / 3

= π × 6² × 16 / 3

= π × 12 × 16

= 192π

Hence the volume of the given cone is 192 π units³.

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The distribution of the number of books read and identify the student who most likely read 9 or fewer books in the greatest number of months.

Based on the given information, it is not possible to determine which student most likely read 9 or fewer books in the greatest number of months without having the actual boxplots. Please provide the boxplots to give an accurate answer.


1. Boxplots are essential to analyze the data in this scenario.
2. The lower quartile (Q1), median (Q2), and upper quartile (Q3) in the boxplots can be used to determine the distribution of the number of books read.
3. Comparing the boxplots for each student can help determine the student who most likely read 9 or fewer books in the most months.


In order to answer the question accurately, please provide the boxplots for the four students. This will help in analyzing the distribution of the number of books read and identify the student who most likely read 9 or fewer books in the greatest number of months.

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