Consider randomly selecting a student at a large university, and let A be the event that the selected student has a Visa card and B be the analogous event for MasterCard. Suppose that P(A) = 0.7 and P(B) = 0.4.
A. Could it be the case that P(A ∩ B) = 0.5? Pick one:
i. Yes, this is possible. Since B is contained in the event A ∩ B, it must be the case that P(B) ≤ P(A ∩ B) and 0.5 > 0.4 does not violate this requirement.
ii. Yes, this is possible. Since A ∩ B is contained in the event B, it must be the case that P(B) ≤ P(A ∩ B) and 0.5 > 0.4 does not violate this requirement.
iii. No, this is not possible. Since B is equal to A ∩ B, it must be the case that P(A ∩ B) = P(B). However 0.5 > 0.4 violates this requirement.
iiii. No, this is not possible. Since B is contained in the event A ∩ B, it must be the case that P(A ∩ B) ≤ P(B). However 0.5 > 0.4 violates this requirement.
v. No, this is not possible. Since A ∩ B is contained in the event B, it must be the case that P(A ∩ B) ≤ P(B). However 0.5 > 0.4 violates this requirement.

(a) The distribution of T is Geometric Distribution and parameter is p which ranges from 0 to 1.

(b) p(x - a) - p[tex](1-p)^{a-1}[/tex] where, x is probability that the xth trial is the first success [tex]$\hat{A} \hat{A} P[/tex] is the probability of success.

(c) Expected pay-off retains are negative, so this is an unfair game.

The probabilities of winning $1 million are [tex]$P_1$[/tex] and [tex]$P_2$[/tex] respectively.

(a) Let 'T ' be the number of times you play until winning at least one prize.

T follows Geometric Distribution, it has only parameter P which is the probability of success which ranges between 0 and 1.

(b) Its probability density function is.

p(x - a) - p[tex](1-p)^{a-1}[/tex]

where, x is probability that the xth trial is the first success [tex]$\hat{A} \hat{A} P[/tex] is the probability of success.

Expected payoff: pw - (1 - p) x dollar

Where:-

p is the probability of success

[tex]$\omega$[/tex] is the lottery winning amount

[tex]$\alpha$[/tex] is the lottery buying cost

(c) [tex]$P=\frac{1}{292,201,338} & =0.0000000034 \\[/tex]

Expected payoff = [tex]p \times 1,000,000-(1-p) 10 \\[/tex]

= 0.0034 - 9.999999966 \\

= -9.99659966

Expected pay-off retains are negative, so this is an unfair game.

[tex]$p=\frac{1}{3,02,575,350} & =0.0000000033 \\[/tex]

Expected pay-off  [tex]& =p \times 10000000-(1-p) 10 \\[/tex]

= 0.0033 - 9.999999967

= -9.996699967

Winning probability [tex]( $P_s$ )[/tex] are so low that expected returns are negative.

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The length of the altitude to EM in triangle GEM is 25 units.

Note that if the altitude of the triangle is at most 10, then the maximum area of the intersection of the triangle and the square is 5 * 10=50. This implies that vertex G must be located outside of square AIME.

Now, suppose GE meet AI at X and let GM meet AI at Y.

Clearly, XY=6 since the area of trapezoid XYME is 80. Also, triangle GXY is similar to triangle GEM.

Let the height of GXY be h.

By the similarity, h/6 = {h + 10}/10,

we get h = 15.

Thus, the height of GEM is

h + 10 = 15 + 10

h = 25 units

So the length of altitude is of triangle GEM is 25 units.

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____The given question is incorrect, the correct question is given below:

Square AIME has sides of length 10 units. Isosceles triangle GEM has

base EM, and the area common to triangle GEM and square AIME is 80

square units. Find the length of the altitude to EM in triangle GEM.

Answer:20)C

Step-by-step explanation:

pythagorean theorem:

[tex]a^{2} +b^{2} =c^{2} \\81+225=305=c^{2} \\c=17.5[/tex]

The pie chart is an important type of data representation. It contains different segments and sectors in which each segment and sector of a pie chart forms a specific portion of the total(percentage). The sum of all the data is equal to 360°.

The "pie chart, also known as circle chart divides the circular statistical graphic into sectors or sections to illustrate numerical problems. Each sector represents a proportionate portion of the total.

The Pie-chart works best for determining the composition of something at that time. In most cases, pie charts take the place of other graphs such as bar graphs, line plots, histograms, and so on.

Note: The monthly budget of the family is represented in pie chart​ that is attached as image.

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The number of points at which a circle can intersect a triangle is 2 and 6 only. The correct answer is "2 and 6 only".

When a circle intersects a triangle, it can intersect at 0, 1, 2, 3, 4, 5, or 6 points. The maximum number of intersection points occurs when the circle passes through all three vertices of the triangle, which results in 6 intersection points.

However, the minimum number of intersection points is 2, which occurs when the circle intersects the triangle at two distinct points. This can happen when the circle passes through one vertex of the triangle and intersects an opposite side at another point.

It is also possible for a circle to intersect a triangle at 0, 1, 3, 4, or 5 points, but these are not listed as options in the given answer choices. Therefore, the correct answer is "2 and 6 only".

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Step 1 of 7: The class width of the data given s 50.

Step 2 of 7: The frequency in 3rd class is 5

Step 3 of 7: Lower class boundary for the second class is 1228.5.

Step 4 of 7: Upper class boundary for the 3rd class is 1328.5

Step 5 of 7: The midpoint of the first class is 1203.5

Step 6 of 7: The relative frequency of the second class is 0.0476

Step 7 of 7: The cumulative frequency of the 5th class is 15.

As per the data given:

the following data representing the price of plasma televisions (in dollars).

1467, 1281, 1342, 1429, 1313, 1357, 1448, 1385, 1304, 1291, 1406, 1410, 1307, 1422, 1264, 1454, 1191, 1191, 1372, 1461, 1447.

                                Class                        Relative      Cumulative
  Class     Frequency   Boundaries      Midpoint      Frequency  Frequency

1179−1228          2       1178.5 - 1228.5        1203.5   0.0952        2

1229−1278     1       1228.5 - 1278.5       1253.5   0.0476        3

1279−1328     5       1278.5 - 1328.5        1303.5   0.2381        8

1329−1378     3       1328.5 - 1378.5        1353.5   0.1429        11

1379−1428     4       1378.5 - 1428.5        1403.5   0.1905        15

1429−1478     6       1428.5 - 1478.5         1453.5   0.2857        21

Step 1 of 7: Determine the class width of the data given.

The class width is the difference between the upper or lower class limits of consecutive classes. All classes should have the same class width. In this case, class width equals to the difference between the lower limits of the first two classes.

w = 1229 - 1179 = 50

Step 2 of 7: Determine frequency in 3rd class

The 3rd class is 1279−1328 and the frequency in 3rd class is 5

Step 3 of 7: Determine the lower class boundary for the second class

The 2nd class is 1229−1278 and the class boundary is 1228.5 - 1278.5

Lower class boundary for the second class is 1228.5.

Step 4 of 7: Determine the upper class boundary for the 3rd class

The 3rd class is 1279−1328 and the class boundary is 1278.5 - 1328.5

Upper class boundary for the 3rd class is 1328.5

Step 5 of 7: Identify the midpoint of the first class

The 1st  class is 1179−1228 and the midpoint of the first class is 1203.5

Step 6 of 7: Calculate the relative frequency of the second class.

The 2nd class is 1229−1278 and the relative frequency of the second class is 0.0476

Step 7 of 7: Compute the cumulative frequency of the 5th class

The 5th class is 1379−1428 and the cumulative frequency of the 5th class is 15.

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Answer:

B

Step-by-step explanation:

you got polluted water that's the problem the solution is strict er laws about dumping

The results based on the information provided in the question will be as follows:

a) By using the analysis of variance (ANOVA) table,

MSE= 440.1/10 = 44.01

F = 2717.9/44.01 =61.756

b) To interpret the slope of regression model,

the slope represents that for each $1000 increase in the income of a family on an average sale price increase by 2184.3

c) To calculate the value of coefficient of determination and its interpretation,

0.712 and the lowest that coefficient of determination is 0 and highest is 1. Thus, here the coefficient is high.

d) By using regression equation,

Price = 11.8+2.18×income

Predicted value = (-11.8+2.18×20)×1000 = 31800

e) To compute, 95% confidence slope

= 2.1843/2.228×0.278 = 1.565;2.804

f) The linear relationship between income and price,

All the intervals above have a value of more than 0 therefore we can conclude that the slope is significant. Thus, we have sufficient evidence that at 0.05 level of significance the linear relationship between income and price is inter related.

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Note that the full question is:

The National Association of Home Builders ranks the most and least affordable housing markets based on the proportion of homes that a family earning the median income in that market could afford to buy. Data containing the median income $1000s) and the median sale price($1000s) for a sample of 12 honsing markets appearing on the list of most affordable markets were subjected to a simple linear regression analysis. The following results were obtained. The regression equation is price-11.8 +2.18 income Predictor Coef StDev Constant11.80 12.84 income 2.1843 0.2780 S 6.634 Analysis of Variance Source Regression 1 2717.9 2717 DF SS MS F P Residuni Eror 10 440. Total 1 3158.0 a. Using the snalysis of variance table, find MSE b. Interpret the slope of the regression model. the valus ul and interpret it d. Using the estimated regression equation, the value ofy ifx-$20,000 e. Compute 95% confidence al for the slope 43-1+2.2280T g. At the 0.05 level of significunce, is there evidence of a linear relationship between income and price

The probability that each bill is a $1 bill is given as follows:

1/16.

A probability is calculated as the division of the desired number of outcomes by the total number of outcomes.

The bills are replaced, hence we consider that for each trial, there is a 1/4 probability of selecting a $1 bill, as one out of the four bills are of $1.

Hence the probability that each bill is a $1 bill is obtained as follows:

p = 1/4 x 1/4

p = 1/16.

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A sequence is an organized grouping of connected things or occasions. It is a logical succession or order of objects, occasions, concepts, or deeds. The fifteenth term in the mathematical series is [tex]3 + (14 × 4) = 59.[/tex]

A sequence is a group of numbers or things associated in a certain order in mathematics.

It can also be used to describe a set of instructions that must be carried out in a specific order, such as a computer program. A sequence is a group of connected incidents or scenes that make up a literary work's narrative framework.

Sn is 1450 for the mathematical series where a1=5, an=119, and n=20.

Sn is 210 for the mathematical series where a1=12, d=6, and n=15.

The 6th term in the geometric sequence where a1= 2, a6= 64, r= 2 is 16.

Sn is 62 for the geometric series with a1=2, r=4, and n=6.

Therefore, The given numbers are compared to the generic A.P. sequence in order to discover the 15th term. Then, using the $nth$ term formula, we locate the 15th term in the given A.P.

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Answer:

b

Step-by-step explanation:to get the answer you multiply by 4 1x4 =4 3 x 4=12

A lot of 1000 components contains 300 that are defective. Two components are drawn at random and tested.

a) P(A) is 0.3

b) P(B|A) is 299/999

c) P(A ∩ B) is 0.089

d) P(A' ∩ B) is 0.211

e) P(B) is 0.3

f) P(A|B) is 0.297

g) A and B are not independent, therefore, it is not reasonable to treat A and B as though they were independent

a) P(A) is the probability that the first component drawn is defective. Since there are 300 defective components out of 1000, the probability that the first component drawn is defective is:

P(A) = 300/1000 = 0.3

b) P(B|A) is the conditional probability that the second component drawn is defective given that the first component drawn is defective. Since there are now 299 defective components left out of 999, the probability that the second component drawn is defective given that the first component drawn is defective is:

P(B|A) = 299/999

c) P(A ∩ B) is the probability that both the first and second components drawn are defective. Since there are 300 defective components out of 1000, the probability that the first component drawn is defective is 0.3. If the first component drawn is defective, then there are now 299 defective components left out of 999.

So the probability that the second component drawn is defective given that the first component drawn is defective is 299/999. Therefore, the probability that both components are defective is:

P(A ∩ B) = P(A) * P(B|A) = 0.3 * 299/999 = 0.089

d) P(A' ∩ B) is the probability that the first component drawn is not defective (i.e., it is good) and the second component drawn is defective. Since there are 700 good components out of 1000, the probability that the first component drawn is good is:

P(A') = 700/1000 = 0.7

If the first component drawn is good, then there are 299 defective components left out of 999. So the probability that the second component drawn is defective given that the first component drawn is good is:

P(B|A') = 299/999

Therefore, the probability that the first component drawn is good and the second component drawn is defective is:

P(A' ∩ B) = P(A') * P(B|A') = 0.7 * 299/999 = 0.211

e) P(B) is the probability that the second component drawn is defective. There are 300 defective components out of 1000, so the probability that the second component drawn is defective is:

P(B) = 300/1000 = 0.3

f) P(A|B) is the conditional probability that the first component drawn is defective given that the second component drawn is defective. Using Bayes' theorem, we have:

P(A|B) = P(A ∩ B) / P(B) = (0.3 * 299/999) / 0.3 = 0.089 / 0.3 = 0.297

g) A and B are not independent, because the probability of B depends on whether or not A has occurred. In other words, the probability of drawing a defective component for the second draw depends on whether or not the first draw yielded a defective component.

If A has occurred (i.e., the first component drawn is defective), then the probability of B is higher than if A had not occurred. Therefore, it is not reasonable to treat A and B as though they were independent.

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Complete question is:

A lot of 1000 components contains 300 that are defective. Twocomponents are drawn at random and tested. Let A be the event that the first component drawn is defective, and let B be the event that the second component drawn is defective.

a) find P(A)

b) find P(B|A)

c) find P(A ∩ B)

d) find P(A' ∩ B)

e) find P(B)

f) find P(A|B)

g) Are A and B independent? It is reasonable to treat A and B as though they were independent? Explain

[tex]\textit{Pythagorean Identities} \\\\ \sin^2(\theta)+\cos^2(\theta)=1\implies \sin^2(\theta)=1-\cos^2(\theta)\\\\\\ 1+\cot^2(\theta)=\csc^2(\theta) \\\\[-0.35em] ~\dotfill\\\\ \boxed{1+cot^2(x)}-cos^2(x)-cos^2(x)cot^2(x) \\\\\\ \boxed{csc^2(x)}-cos^2(x)-cos^2(x)cot^2(x)\implies csc^2(x)-cos^2(x)[1+cot^2(x)] \\\\\\ csc^2(x)-cos^2(x)[csc^2(x)]\implies csc^2(x)[1-cos^2(x)]\implies csc^2(x)sin^2(x) \\\\\\ \cfrac{1}{sin^2(x)}\cdot sin^2(x)\implies \text{\LARGE 1}[/tex]

The solution to the system of linear equations can be expressed in vector form as:

x = [x1, x2, x3, x4] = [2-3x3-x4, 3+6x3+x4, x3, x4]

Breaking down the vector components:

A = [-3, 0, 1, 0]

a = [-1, 0, 0, -1]

B = [2, 3, 0, 0]

b = [0, 0, 1, 0]

bb = [0, 0, 0, 1]

C = [0, 0, 1, 0]

cc = [0, 0, 1, 0]

D = [0, 0, 0, 1]

dd = [0, 0, 0, 1]

To obtain this solution in vector form, we first rewrite the equations in standard form:

x1 + 3x3 + x4 = 2

x2 - 6x3 - x4 = 3

Then, we can write the solution as a combination of the homogeneous solution (the particular solution) and the non-homogeneous solution (the vector on the right-hand side). The homogeneous solution is obtained by setting the right-hand side to zero and solving for x3 and x4:

x1 + 3x3 + x4 = 0

x2 - 6x3 - x4 = 0

which gives x3 = -1/3 and x4 = 0. Therefore, the homogeneous solution is [0, 0, -1/3, 0].

The non-homogeneous solution is obtained by setting x3 and x4 to zero and solving for x1 and x2:

x1 = 2

x2 = 3

Therefore, the non-homogeneous solution is [2, 3, 0, 0].

Combining the homogeneous and non-homogeneous solutions, we obtain the final solution in vector form:

x = [0, 0, -1/3, 0] + [2, 3, 0, 0] = [2-3x3-x4, 3+6x3+x4, x3, x4]

with the vectors A, a, B, b, bb, C, cc, D, dd given as above.

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The majority of the songs ranged in length from three to three and eight minutes. Thus, option a is correct.

The "bell" portion of this distribution, as can be seen, ranges from 3 to 3.8. A normal distribution characterizes the vast majority of the data in this situation. Accordingly, the majority of the songs were between three and three and a half and eight minutes long.

A continuous probability distribution for a real-valued random variable in statistics is known as a normal distribution or Gaussian distribution. A bell curve is a type of graph that is used to show how a group of selected values are distributed; it typically has a peak at the center that tends to be normal, with low and high extremes that taper off fairly symmetrically on either side.

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Answer:

The answer is A

Step-by-step explanation:

The area of the trapezium will be 168 ft².

What is a trapezium, exactly?

Trapezoids have two parallel sides and two oblique sides. Another term for it is a trapezium. A trapezoid is a four-sided closed form with a space-filling perimeter. It is a 2D figurine, not a 3D figure. The bases of a trapezoid are parallel to one another. Legs are non-parallel sides, sometimes referred to as lateral sides and height is the distance between the parallel sides.

The area of a trapezium is equal to 1/2*(a+b)*h.

where h is the distance or height between two parallel lines

Lines a and b are parallel.

Now,

As we can decompose given trapezium into a rectangle with length=18 ft and breadth=8 ft and a triangle with base=6 ft and height=8 ft.

Then area of trapezoid=area of rectangle + area of triangle

=l*b+1/2*b*h

=18*8+1/2*6*8

=144+24

=168 ft²

Hence,

           The area of the trapezium will be 168 ft².

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0.90 is value P(A and B) of probability .

What are examples and probability?

The likelihood that something will occur is the foundation of it. The logic underpinning probability serves as the basic foundation for theoretical probability.

                           The theoretical likelihood of receiving a head, for instance, is 12 when a coin is tossed.

P(A) = 0.6 P(B) = 0.5

a) P(A and B) =P(A)P(B) {Independent)

P(A and B) = 0.6×0.5

P(A and B) = 0.30

b) Given P(A | B) = 0.3, this is a conditional probability

If P(A | B) = P(A and B)/P(B)

Since If P(A | B) = 0.3

0.3 = P(A and B)/P(B)

P(A and B) = 0.30(P(B)

P(A and B) = 0.3(0.30)

P(A and B) = 0.90

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The correct values of a and b, expressed in their simplest form is a = 7 and b = 97/23

An equation is a statement that shows the equality between two expressions. It contains an equal sign (=) and two sides that represent the same value.

To find the correct values of a and b, we need to use the given information about the silo's dimensions and the initial height of the grain. The radius of the silo is 10 meters and the height is 100 meters. The grain is initially at a height of 7 meters, so the remaining height that needs to be filled is

=> 100 - 7 = 93 meters.

Since we know that it takes hours to fill the silo, we can use this information to find the values of a and b. At the moment the silo is full, the depth of the grain is equal to the height of the silo, which is 100 meters. We can use this to form an equation:

d( ) = a³ + b = 100

We know that the total depth of the grain is the sum of the initial depth of 7 meters and the cubic equation that models the additional depth of the grain as more is poured into the silo. So we have:

d(t) = 7 + at³ + b

Now we can substitute this expression into the previous equation and solve for a and b:

7 + a³ + b = 100

a³ + b = 93

We have two unknowns, a and b, so we need another equation to solve for them. We can use the fact that the depth of the grain is zero when t is equal to the time it takes to fill the silo. This means that:

d( ) = 0 = 7 + a³ + b

Now we have two equations:

a³ + b = 93

a³ + b = -7

We can subtract the second equation from the first to eliminate b:

0 = 100

This is a contradiction, which means that there is no solution for a and b that satisfies the given conditions. Therefore, the answer is that there are no correct values of a and b expressed in their simplest form.

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The total number of likes given to the shoulder length. The correct option is B.

A survey in human subjects research is a set of questions designed to elicit specific information from a specific group of people. Surveys can be conducted over the phone, by mail, on the internet, or even on street corners or in shopping malls.

In the given survey 10 liked option A mullet, 11 liked option B is shoulder length, 4 liked the short length and 2 liked bald head.

So from the survey, more points are given to the shoulder-length hairstyle.

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The expression when simplified is 6x^8y^3

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

(2x5y2)(3x3y)

Express properly

So, we have

(2x^5y^2)(3x^3y)

Evaluate the products

This gives

6x^(5+3)y^(2+1)

So, we have

6x^8y^3

Hence, the expression is 6x^8y^3

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Answer:

B

Step-by-step explanation:

took the test xx

The complete table is shown in the picture attached. The sale price of the product is $24.

The sale price is the original price minus the discount. It can be expressed as

S = P - D

Where

The discount when an item is on sale can be calculated by

D = d × P

Where d = percent of discount.

Complete the table shown in the picture!

We have

To complete the table, we should find the sale price.

From the information, the discount is

D = d × P

D = 80% × $120

D = $96

The sale price will be

S = P - D

S = $120 - $96

S = $24

The product has a sale price of $24.

The second picture attached shows the complete table.

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Yes, the problem describes a valid simulation design.

We do sampling so that we don't have to work on entire population of items but only on that sample in a way that we can predict information about population.

Most of the times, it isn't possible in real world to work on entire populations. Samples come out for rescue by assumptions that they will have some properties of the population pertained in them.

Thus, the sample should be taken out such that it includes data of the population as much  as it can in unbiased way so as to imitate population. (assuming that we want the sample to contain the summary of the population).

We are given that;

A media report claims that 50% of U.S. teens with smartphones feel addicted to their devices.

A sample of 100 U.S. teens who have smartphones was taken.

Only 40 of the teens in the sample feel addicted to their devices.

The goal is to estimate the probability of getting 40 or fewer teens who feel addicted to their devices in a random sample of size 100 from a population of teens with smartphones in which 50% feel addicted to their devices.

A simulation is proposed where 1 represents feeling addicted and 2 represents not feeling addicted.

Now,

The simulation design involves randomly selecting a sample of 100 U.S. teens who have smartphones and then using a random number generator to simulate the proportion of teens who feel addicted to their devices. This is a valid simulation because it mimics the process of sampling from a large population, and the use of a random number generator ensures that the simulation is unbiased and reflects the randomness inherent in the sampling process.

By repeating this process many times and calculating the percent of trials on which the number of 1's (teens who feel addicted to their devices) was 40 or less, we can estimate the probability of getting such a result by chance. This will help us determine whether the sample of 40 teens who feel addicted to their devices is consistent with the media report's claim that 50% of U.S. teens with smartphones feel addicted to their devices.

Therefore, by sampling the answer will be yes

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The graph of a radical function in form f(x) = a(x + k)^1/n + c can tell you that the domain of the function is all real numbers greater than or equal to -k, and the range of the function depends on the values of "a" and "c".

The domain is defined as the values of the independent variable for which there is a certain value of the dependent variable exists in the range of the function.

Here,
The domain of a radical function in this form is determined by the expression under the radical. For the function to be defined, this expression must be greater than or equal to zero. Therefore, the domain of the function is all real numbers such that x + k is greater than or equal to zero.

The range of the function is determined by the value of "a" and "c". If "a" is positive, the range of the function is all real numbers greater than or equal to "c". If "a" is negative, the range of the function is all real numbers less than or equal to "c".

In summary, the graph of a radical function in form f(x) = a(x + k)^1/n + c can tell you that the domain of the function is all real numbers greater than or equal to -k, and the range of the function depends on the values of "a" and "c".

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The linear factors of the given polynomial is (2x+1)(4x+3) and (3x-2).

The factorization method uses basic factorization formula to reduce any algebraic or quadratic equation into its simpler form, where the equations are represented as the product of factors instead of expanding the brackets. The factors of any equation can be an integer, a variable, or an algebraic expression itself.

The given function is f(x)=24x³+14x²-11x-6 and one of the factor is (2x+1).

Here, 24x³+14x²-11x-6 can be written as 24x³+12x²+2x²+1x-12x-6

12x²(2x+1)+1x(2x+1)-6(2x+1)

= (2x+1)(12x²+1x-6)

= (2x+1)(12x²+1x-6)

= (2x+1)(12x²+9x-8x-6)

= (2x+1)[3x(4x+3)-2(4x+3)]

= (2x+1)(4x+3)(3x-2)

Therefore, the linear factors of the given polynomial is (2x+1)(4x+3) and (3x-2).

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Cannot be zero because any exponential number with base 0 is equal to 1.

The 10-ounce box is the better buy as it has a lower cost per ounce.

In mathematics, divides left-hand operands into right-hand operands in the division operation.

To determine which box of cereal is a better buy, you can calculate the cost per ounce for each option.

For the 10-ounce box, the cost per ounce is:

= 1.86/10

Apply the division operation,

= $0.186 per ounce.

For the 14-ounce box, the cost per ounce is:

= 2.85/14

= $0.203 per ounce.

Therefore, the 10-ounce box is the better buy as it has a lower cost per ounce.

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The evaluation of F(-2) is 18 and the value of x when f(x)=1 is 1/8.

There are many tools we can use to find the information of the relation which was used to form the graph.

A graph contains data of which input maps to which output.

Analysis of this leads to the relations which were used to make it.

For example, if the graph of a function is rising upwards after a certain value of x, then the function must be having increasingly output for inputs greater than that value of x.

If we know that the function crosses x axis at some point, then for some polynomial functions, we have those as roots of the polynomial.

Given that;

f(x)= -8x + 2

Now substituting -2 in f(x) to find the value of f(-2)

f(-2)=-8*-2+2

f(-2)=16+2

f(-2)=18

If the value of f(x)=1

1=-8x + 2

-1=-8x

x=1/8

Therefore, the value of function  f(-2) and when f(x) is equal to -1 will be 18 and 1/8

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Nonlinear Differential equation The discriminating equation said to be non direct if any product exists between the dependent variable and its derivations or between the derivations themselves.

The given differential equation,

(3)dydx = y(9+x2)/x(3-7y)

dy/dx 9+x2)/y (3-7y)

1 () dy 9+x2) dx (3-7y) V = 0

The given differential equation contains term product between the dependent variable (y) themselves.

So It is nonlinear differential equation.

Alternative ( With all questions answer ) :

1. Given differential equation is -

  -->  Ordinary

  --> Of order 2

  --> with x as dependent and t as independent variable

 -->  Linear

2. Given differential equation is -

  -->  Ordinary

  --> Of order 2

  --> with y as dependent and x as independent variable

 -->  Linear

3. Given differential equation is -

  -->  Ordinary

  --> Of order 1

  --> with y as dependent and x as independent variable

 -->  NOT Linear

1) The secondary dy dx is called ordinary.

The secondary ду хе is called partial. This isn't set up in any of the equations in question. Hence all are ordinary discriminational equations.

2) The secondary dy dx is of order 1 and the secondary day dx2 is of order 2. This way we can have third,

fourth. order derivations.

Our first 2 equations have maximum outgrowth of order 2. Hence similar ODE is of order 2. The last question equation has loftiest order of outgrowth = 1 hence it's first order ODE.

3) The variables whose derivations do in the equation are dependent and remaining variables are independent. Then in first question outgrowth of x is taken. Hence x is dependent. Same description applies for the remaing ODEs.

4) The linearity depends on 2 facctors. The power( indicator or exponent) of dy dx or day dx2( whichever occers in the equation) is called degree of ODE.( elect the loftiest order outgrowth to find degree). In any of the question we do not have degree further than 1. So this first criteria of linearity is satisfied by all given.

The alternate criteria is in any of terms containing dy dx or day dx2 the measure( constant or variable) mustn't contain the dependent variable. In our last question, if simplified we get the dependent variable( 1/ y) in addition with dy dx. Hence it's NOT direct. The terms without derivations can contain y but there also power of y must be 1. Look at question 2. The last term is 2y. If it were y2 or y3 or 1 y that equation couldn't be direct.

Simplification of (3)

dy dx y(2-3x x(1-3 y )  

1-3y dy (2-3x) dx у  

(2-3x) :- -3) dy dx  

This can be further integrated to solve, but the equation is NOT liner.

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If the two stations have the same bit rate, they will both have to be on air for the same amount of time to broadcast 4 minutes of news, regardless of the specific bit rate

What is time in maths ?

In mathematics, time is often thought of as a dimension, similar to length, width, and height. However, time is unique in that it only moves in one direction, from the past to the future. Time can be measured in various units such as seconds, minutes, hours, days, weeks, months, and years.

The length of time a station will have to be on air to broadcast 4 minutes of news depends on the bit rate of the broadcast.

The bit rate is the amount of data transmitted per second in a digital signal. The higher the bit rate, the more data can be transmitted per second, resulting in higher audio or video quality but also a larger file size.

Assuming the two stations have different bit rates, the station with the lower bit rate will have to be on air longer to broadcast the same 4 minutes of news than the station with the higher bit rate. This is because the station with the lower bit rate can transmit less data per second, so it will take longer to transmit the same amount of information.

For example, if Station A has a bit rate of 128 kbps (kilobits per second) and Station B has a bit rate of 256 kbps, Station A will have to be on air for twice as long as Station B to transmit the same 4 minutes of news, as it can transmit only half as much data per second as Station B.

Hence, If the two stations have the same bit rate, they will both have to be on air for the same amount of time to broadcast 4 minutes of news, regardless of the specific bit rate

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Answer:

Step-by-step explanation:

Cost of 100 gloves = $7.73

Cost of each glove = 7.73/100= $0.0773 (or 7.73 cents each)