how do I compare 6.098 and 6.908

The truth about the quotient -11/10 is that it is written as an improper fraction, which can also be written as a mixed number.

The quotient is the result of a division operation.

To determine the quotient, the dividend is divided by the divisor.

The dividend is the number being divided while the divisor is the number dividing.

Division operation is one of the basic mathematical operations.  Other mathematical operations are subtraction, addition, and multiplications.

These basic mathematical operations determine mathematical results undertaken by manipulating numbers, constants, and variables using mathematical operands.

An improper fraction is one that whose numerator is greater than the denominator.

Improper fractions can be converted to mixed numbers (whole numbers and proper fractions).

Thus, we can conclude that the quotient -11/10 is written as an improper fraction.

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Hope this helps!

Answer: 15

 9             60

-------   =   -------

 ?             100

Multiply 9 and 100, then divide by 60

You will get 15

Since 9 beings preferred joogh juice and that was 60% of the beings who were surveyed, that must mean 15 beings were surveyed in total.

The critical value that corresponds to a confidence level of 90 % [1.34503037 , ∞ ).

Given:

you intend to estimate a population mean with a confidence interval. you believe the population to have a normal distribution. your sample size is 15. find the critical value that corresponds to a confidence level of 90%.

sample size n = 15

confidence interval ci = 90

we know that,

Degrees of freedom df = n - 1

here n = 15

df = n - 1

= 15 - 1

= 14

Using the graphical t value calculator:

with df = 14 significance level = 1 - 0.90 = 0.10

so t = [1.34503037 , ∞ )

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Selena got the greater fraction of the questions correctly as 5/6 > 4/6.

For the stated data in the question.

Correctly answered by Selena in science quiz = 5/6

In decimal form.

5/6 = 0.833

Correctly answered by Ana in science quiz = 4/6 .

In decimal form;

4/6 = 0.666

Now,

0.666 > 0.8333

Thus,

5/6  > 4/6

Therefore, Selena got the greater fraction of the questions correctly as 5/6 > 4/6.

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Answer:

f(-2)=-12

f(3)= -2

Step-by-step explanation:

f(x) is original form

So for f(-2) we find where x is -2 and in this case f(x) is -12

And for f(3) we do similar but since x=3 isn’t on the table we see a pattern that whne x goes up one f(x) adds 2 so 3 is -2

Hopes this helps

There were a total of 625 customers who bought at a gas station on Wednesday

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

Number of customers that purchase doughnuts = 225

Proportion of customers who made additional purchase = 36%

The above parameters mean that:

Proportion of customers who made additional purchase = 36% of The total number of customers

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

36% * The total number of customers = 225

Divide both sides by 36%

The total number of customers = 625

Hence, the total number of customers is 625

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Following 60 minutes of calls, the credit balance is $22.33 on a phone card.

For the stated equation-

It's necessary to use the credit that remains after 60 minutes of calls.

Credit balance is $26. 23 - 29 minutes later.

Credit balance is $22. 85 - 59 minutes later.

Take the minutes as 'x' they are and the remaining credit as 'y' it is;

(29, 26. 23)

(59, 22. 85)

The equation will be because it is a linear function:

Y - y1 = m(x - x1)

Slope m = (y2 - y1)/(x2 - x1)

m = (22.85 - 26.23)/(55 - 29)

m = -3.38/30

m = - 0.13

Put the values in equation of the line.

y - 26. 23 = -0.13 (x - 29)

y = -0.13x + 30

For x = 59 minutes, remaining credit;;

y = -0.13(59) + 30

y = 22.33

Thus, following 60 minutes of calls, the credit balance is $22.33 on a phone card.

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If a scatterplot of standardized, bivariate data displays data that are mostly lying in the upper left and lower right-hand quadrants, then the Pearson correlation is typically going to be negative. The above statement is false.

Bivariate data involves studying and comparing two separate variables. For example, a researcher may record how long it takes people to complete a crossword puzzle while measuring the stress levels of the participants. In this example, the two variables that the researcher is examining are time and stress.

Scatterplots display these bivariate data sets and provide a visual representation of the relationship between variables. In a scatterplot, each point represents a paired measurement of two variables for a specific subject, and each subject is represented by one point on the scatterplot.

When the points on a scatterplot graph produce a lower-left-to-upper-right pattern, we say that there is a positive correlation between the two variables. This pattern means that when the score of one observation is high, we expect the score of the other observation to be high as well, and vice versa.

When the points on a scatterplot graph produce a upper-left-to-lower-right pattern, we say that there is a negative correlation between the two variables. This pattern means that when the score of one observation is high, we expect the score of the other observation to be low, and vice versa.

In statistics, the Pearson correlation coefficient ― also known as Pearson's r, the Pearson product-moment correlation coefficient (PPMCC), the bivariate correlation or colloquially simply as the correlation coefficient ― is a measure of linear correlation between two sets of data. It is the ratio between the covariance of two variables and the product of their standard deviations; thus, it is essentially a normalized measurement of the covariance, such that the result always has a value between −1 and 1. As with covariance itself, the measure can only reflect a linear correlation of variables, and ignores many other types of relationships or correlations. As a simple example, one would expect the age and height of a sample of teenagers from a high school to have a Pearson correlation coefficient significantly greater than 0, but less than 1 (as 1 would represent an unrealistically perfect correlation).

The Pearson correlation method is the most common method to use for numerical variables; it assigns a value between − 1 and 1, where 0 is no correlation, 1 is total positive correlation, and − 1 is total negative correlation. This is interpreted as follows: a correlation value of 0.7 between two variables would indicate that a significant and positive relationship exists between the two. A positive correlation signifies that if variable A goes up, then B will also go up, whereas if the value of the correlation is negative, then if A increases, B decreases.

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The integers when product of two consecutive odd integers is 21 more than twice the larger

integer are 5 and 7.

Let the integers be x and x + 2. Since the product of two consecutive odd integers is 21 more than twice the larger integer. This will be:

x(x + 2) = 2(x + 2) + 21

x² + 2x = 2x + 4 + 21

x² + 2x = 2x + 25

Collect like terms.

x² + 2x - 2x - 25

x² - 25

x² - 5²

= (x - 5)(x + 5)

x - 5 = 0

x = 0 + 5

x = 5

The higher number will be:

= x + 2

= 5 + 2

= 7

The numbers are 5 and 7

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324 is the maximum value of the product of these three numbers

What is maxima and minima?

The curve of a function has peaks and troughs called maxima and minima. A function may have any number of maxima and minima. Calculus allows us to determine any function's maximum and lowest values without ever consulting the function's graph. Maxima will be the curve's highest point within the specified range, and minima will be its lowest.

The extrema of a function are the maxima and minima. The maximum and minimum values of a function inside the specified ranges are known as maxima and minima, respectively. Absolute maxima and absolute minima are terms used to describe the function's maximum and minimum values, respectively, over its full range.

Let the three nonnegative numbers are x,y,z

According to the question

x+y+z=36

and y=2x

therefore, 3x+z=36--------------------------------------------------(1)

z=36-3x

Let 3xz= u--------------------------------------------------------------(2)

differentiating equation 2

du/dx=3z + 3xdz/dx

or

du/dx= z + xdz/dx

differentiating equation 1

3 + dz/dx = 0

dz/dx = -3

du/dz = 36-3x + x(-3)

du/dx = 12 - 2x--------------------------------------------------------------(3)

for maxima put du/dx = 0

x=6-------------------------------------------------------------------------------(4)

again differentiating du/dx = 12 - 2x

d2u/dx2=-2

which means 3xz= u is maximum at x=6

from equation 1 and 4

we get 18+z=36

z=18

Therefore 3xz= 3(6)(18)=324

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The rectangle's measurements are 13.2 feet wide by 19.2 feet long, giving it a total area of 253 square feet.

The measurement that indicates the size of a region on a plane or curved surface is called area. Surface area refers to the area of an open surface or the border of a three-dimensional object, whereas the area of a plane region or plane area refers to the area of a form or planar lamina. Area is the entire amount of space occupied by a flat (2-D) surface or an object's form. On a sheet of paper, draw a square using a pencil. It has two dimensions. The area of a shape on paper is the area that it occupies.

Here,

length of rectangle=l

width=w

l=w+6

area=l*w

253=(w+6)*w

w²+6w-253=0

w=13.2 feet

l=19.2 feet

The dimensions for the rectangle that have area as 253 sq-feet will be 13.2 feet as width and 19.2 feet as length.

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Part a: The volume of such base would appear to be larger than it was if the bubble was already let go before the titration's equivalence point.

Part b: There would be no impact if the bubble had already been let go after the equivalent point.

For the stated condition-

An air bubble was present in the buret tip as the student started his part II titration. Unnoticed bubble release occurred at some point in the titration.

The inaccuracy in his titration findings that the bubble would've have made if:

Part a: If the bubble had burst before the titration's equivalence point, the base's volume would have appeared larger than it originally was, having the base seem stronger than it is, and changing calculations.

Part b: There would be no impact if the bubble had already been let go after the equivalent point.

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The probability that a randomly selected jury of 12 people is all male is 2.1 × 10⁻⁵.

What is the probability?

The area of mathematics known as probability deals with numerical representations of the likelihood that an event will occur or that a proposition is true. An event's probability is a number between 0 and 1, where, roughly speaking, 0 denotes the event's impossibility and 1 denotes certainty.

An order does not matter so it is a Combination.

There are 16 men and we are going to choose 12 --> ₁₆C₁₂

There are 30 people and we are going to choose 12  --> ₃₀C₁₂

₁₆C₁₂ / ₃₀C₁₂

[tex]= \frac{16!}{(16 - 12)!} \div \frac{30!}{(30 - 12)!}[/tex]  

= 0.00002104211

= 2.1 × 10⁻⁵

Hence, the probability that a randomly selected jury of 12 people is all male is 2.1 × 10⁻⁵.

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The test statistic results for that scenario is -1.5.

Simplified the calculation by eliminating thousands of dollars.

[tex]\bar x[/tex] = sample mean = 18.5

s = sample standard deviation = 5

n = sample size = 25

[tex]\mu_{0}[/tex] = population mean for the null hypothesis = 20

Since the question provide us a test statistic formula. So,

[tex]t_{0}[/tex] = [tex]\frac{\bar x - \mu_0}{\frac{s}{\sqrt{n}}}[/tex]

= [tex]\frac{18.5 - 20}{\frac{5}{\sqrt{25}}}[/tex]

= [tex]\frac{-1.5}{\frac{5}{5}}[/tex]

= -1.5 / 1

= -1.5

Thus, the result for test statistic in that scenario is -1.5.

Your question is incomplete, but most probably your full question was (image attached)

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The statement which is true about the two equilateral triangles is b)The two triangles are the same shape but not the same size. So, correct option is b.

In calculation, a symmetrical triangle is a triangle where every one of the three sides have a similar length. In the natural Euclidean calculation, a symmetrical triangle is likewise equiangular; that is, every one of the three inward points are additionally compatible to one another and are each 60°. It is likewise an ordinary polygon, so it is additionally alluded to as a normal triangle.

Some of hypotheses which are made sense of utilizing symmetrical triangle:

The side length of the primary symmetrical triangle is 3 inches.The side-length of the second symmetrical triangle is 4 inches.Since both the triangles are symmetrical triangles, in this way they have same shape.

Be that as it may, the two triangles have different side lengths in this way they have different size.

Hence, option b is correct.

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(Complete question) is:

on a piece of paper, use a protractor and a ruler to construct two equilateral triangles: one with a side length of 3 inches and one with a side length of 4 inches. which statement is true about the two triangles?

a. The two triangles are the same size but not the same shape.

b. The two triangles are the same shape but not the same size.

c. The two triangles are the same size and same shape.

d. It is impossible to construct equilateral triangles with these side lengths.

the spread data is dispersed across the entire range of data.

What is range of data?

In statistics, we must put the given values, set of data, or set of observations in ascending order in order to determine the range. That indicates that you should start by writing the observations from lowest to highest value. The formula must now be used to determine the range of observations. As a result, the range may alternatively be thought of as the distance between the highest and lowest observation. The range of observation is the name given to the outcome. Statistics' range reflects the variety of observations.

When we plot data, we are considering the shape of the data. We plot the data based on the histogram, for example. The data's shape is Shape.

Outliers are different observations from the majority of the observations and are clustered in the center. Spread is the dispersion of the data throughout the entire range.

Hence, the spread data is dispersed across the entire range of data.

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Using the triangle sum theorem and other definitions, the measures of the other numbered angles are:

m∠5 = 68°

m∠3 = 35°

m∠4 = 112°

m∠7 = 145°

m∠2 = 77°

In a triangle, all the three interior angles will add up to give a sum of 180 degrees according to the triangle sum theorem.

The alternate interior angles theorem states that any two angles that lie alternate to each other, they will have the same angle measure

Given the angle measures:

m∠1 = 68°

m∠6 = 35°

Therefore:

m∠5 = m∠1 [alternate interior angles theorem]

m∠5 = 68°

m∠3 = m∠6 [alternate interior angles theorem]

m∠3 = 35°

m∠4 = 180 - m∠5 [definition of linear pair]

m∠4 = 180 - 68

m∠4 = 112°

m∠7 = 180 - m∠6 [definition of linear pair]

m∠7 = 180 - 35

m∠7 = 145°

m∠2 = 180 - m∠5 - m∠6 [triangle sum theorem]

m∠2 = 180 - 68 - 35

m∠2 = 77°

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Answer:

Step-by-step explanation:

Given that

XC÷X

= XC/X

here X in the nominator as well as denominator will cancel each other. Then Remaining result is

= C

A polynomial equation is used to analyze the behavior of the problem's solutions and is known as the characteristic equation of a second-order differential equation.

It is frequently used to simulate real-world events, such as the operation of electrical circuits. The behavior of the differential equation's solutions may be predicted when the characteristic equation's roots are 2 and -3. The roots of the characteristic equation can be used to identify the properties of an unforced circuit when a second-order differential equation is used to represent it.

The circuit will behave oscillatory when the roots are 2 and -3. As a result, the output of the circuit will oscillate frequently, with the frequency of the oscillations being defined by the variation between the roots. The oscillations in this instance will occur at a frequency of 5 Hz.

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What behavior of the differential equation's solutions can be determined when the roots of the characteristic equation are 2 and -3?

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For given situation, the probability that a house belongs to the second county, knowing that it has a garage attached to it = 0.8

Assume event a: a house belongs to the first county;

event b: a house belongs to the second;

event c: a house belongs to the third;

event g: a house has an attached garage.

20% of the houses in the first county,

⇒ P(a) = 20%

30%  of the houses in the second county

⇒ P(b) = 30%

50%  of the houses in the first county.

⇒ P(c) = 50%

a garage is attached to 70% of the houses in the first county,

⇒ P(a ∩ g) = 70%

a garage is attached to 80% of the houses in the second county

⇒ P(b ∩ g) = 80%

and a garage is attached to 90% of the houses in the third county.

⇒ P(c ∩ g) = 90%

We need to find the probability that a house belongs to the second county, knowing that it has a garage attached to it.

i.e., P(b ∩ g) which is 80% = 0.8

Therefore, the probability that a house belongs to the second county, knowing that it has a garage attached to it is 0.8

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The solution to the system of equation y = - 2x - 7 and 9x - 10y = 12 is,

x = - 2 and y = - 3.

If a system of equations only contains two linear equations with two variables, the system's equation can be graphed, the graph will have two straight lines, and the intersection point(s) of those lines will be the system's solution.

There are only three matching forms of solution for a given system of equations because there are only three different ways that two straight lines in the plane can graph.

Substitution in mathematics is when we replace some specific numerical values with variables according to our wants or given in the problem.

Given, Are two linear equations y = - 2x - 7 and 9x - 10y = 12.

Therefore,

9x - 10y = 12.

9x - 10(- 2x - 7) = 12.

9x + 20x + 70 = 12.

29x = - 58.

x = - 2 and hence y = - 2(-2) - 7 ⇒ y = - 3.

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The equation that demonstrates how to determine how much money Maria will have in her savings account the following week is (B) the amount in savings the following week = $680 + $25.

A mathematical statement known as an equation is made up of two expressions joined together by the equal sign.

A formula would be 3x - 5 = 16, for instance.

When this equation is solved, we discover that the value of the variable x is 7.

So, the correct equation will be:

We know that Maria puts $25 every week into her savings account.

We also know that she has $680 in her account.

Now, to get the amount that will be in her savings account next week will be:
$680 + $25

Therefore, the equation that demonstrates how to determine how much money Maria will have in her savings account the following week is (B) the amount in savings the following week = $680 + $25.

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Complete question:
Every week Maria puts $25 into her savings account. She has $680 in her account now. Which equation shows how to calculate how much money she will have in her account next week?

A. Amount in savings next week +$25=$680

B . Amount in savings next week =$680+$25

C. Amount in savings next week =$680×$25

D. $680− the amount in savings next week =$25

Answer: One of those 2 it should be?

Step-by-step explanation:  

Decimal form:

    0.8

Exact form :

    4/5

Answer:

Step-by-step explanation:

true

Answer:

Answer:

Step-by-step explanation:

Petimeter=2L+2w

width=x unknown

length=x+4

P=2L+2W

112= 2(x+4)+2x

112=2x+8+2x

112=4x+8

subtract 8 on both sides

104=4x

divide by 4

x=26

width is 26

length is 30

check 26+36+30+30=112

It's better to use adjusted R-squared than simple R because the adjusted R-squared is adjusted for the number of variables and sample size whereas simple R has different values for each size.

Adjusted R-squared considers and tests different independent variables against the model and R-squared does not.

Many investors prefer adjusted R-squared because adjusted R-squared can provide a more precise view of the correlation by also taking into account how many independent variables are added to a particular model against which the stock index is measured.

The unadjusted R-squared increases or stays the same as more variables are included, whereas the adjusted R-squared is adjusted for the number of variables and large sample size.

Adjusted R-squared is calculated for multiple explanatory variables and R-squared value is calculated for only one explanatory variable.

That's why It is better to use values of adjusted R instead of simply values of R

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After evaluating , we get that the number of feet of fencing that Luke needs is 40 ft .

In the question ,

it is given that ,

Luke if fencing his garden ,

and the gate across the narrow end is not replaced .

From the figure given below ,

we see that , the lengths of the garden are , 3 ft , 14 ft , 14 ft and 12 ft .

So , the perimeter of the figure is = 3 + 14 + 14 + 12

Since , the gate is not fenced , length of the gate (3 ft) will be subtracted .

So , we get ,

= 14 + 14 + 12

= 40 ft .

Therefore , the Luke need to fence 40 ft of the garden.

The given question is incomplete , the complete question is

Luke needs a new fence around his garden, but the gate across the narrow end of the garden will not be replaced. Write and evaluate a numerical expression to find how many feet of fencing Luke needs .

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Reports that describe how many customers shared positive comments about the gardening magazine on social media in the past year. Reports that compare past weather patterns to the number of people asking gardening questions to their social media. Reports that examine how a recent 50%-off sale affected the number of subscription purchases. Reports that predict the success of sales leads to secure future subscribers.

In order to find relevant information, support inferences, and help decision-making, data analysis is the process of analyzing, cleaning, manipulating, and modeling data. A data analyst examines data to find significant consumer insights and potential uses for the information. They also advise the company's management and other stakeholders of this information. Although it is recommended that data analysts have a basic understanding of statistics and mathematics, many of their tasks may be completed without it. However, data analysts often need to be familiar with statistics, linear algebra, and calculus.

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